Journal of Computer-Mediated Communication Shape and Size Matter for Smartwatches: Effects of Screen Shape, Screen Size, and Presentation Mode in Wearable Communication Ki Joon Kim Department of Media and Communication, City University of Hong Kong, M5084 Run Run Shaw Creative Media Centre, 18 Tat Hong Avenue, Kowloon, Hong Kong This study investigates how variations in the screen shape (round vs. square) and screen size (large vs. small) of smartwatches affect their hedonic and pragmatic qualities and the evaluation of transmitted information. Results from a between-subjects experiment (N = 160) indicate that large screens positively influence information quality by simultaneously increasing both the hedonic and pragmatic qualities of smartwatches. However, the effects of round screens on information quality are mediated only by the hedonic quality, suggesting that square screens are more closely associated with the pragmatic, rather than hedonic, quality of the medium. The results also reveal that the effects of screen shape and screen size are moderated by the presentation mode (text + image vs. text only) of information. Keywords: Screen Shape, Screen Size, Presentation Mode, Smartwatch, Wearable Communication. doi:10.1111/jcc4.12186 The paradigm of mobile communication has begun to evolve from merely portable to seamless wearable technology offering anywhere–anytime possibilities for accessing and sharing information (Kim & Shin, 2015). At the center of this paradigm shift, smartwatches have gained significant attention as a next-generation tool for communication and grown at an exponential rate in the information and communication technology market. Consequently, an increasing amount of explanatory research (e.g., Aoyama, Shizuki, & Tanaka, 2016; Arefin Shimon et al., 2016; Gordon, Ouyang, & Zhai, 2016) has been recently conducted in both academia and industry to broaden the applicability and enhance the usability of smartwatches. However, many of these works primarily focus on conceptualizing and developing prototypes of new interaction and control techniques (e.g., touch interface, gesture, keyboard input), seldom emphasizing the most fundamental structural affordances of smartwatches—the size and shape of the watch screens—and how variations in such structural features can have psychological effects on user perceptions of the device and information transmitted by it. Editorial Record: First manuscript received on March 9, 2016. Revisions received on September 21, 2016 and January 3, 2017. Accepted by Matthew Lombard on March 3, 2017. Final manuscript received on March 10, 2017. Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 1 Therefore, this study asks the following question: Do screen shape and size matter for smartwatches in terms of shaping user experience and processing conveyed information? Empirical investigations of the effect of screen shape of media technology have not been actively conducted because for typical consumer electronics, such as smartphones, tablet computers, televisions, and PC monitors, rectangular-shaped screens have been customarily adopted since their introduction. On the other hand, the psychological effects induced by variations in screen size have been extensively studied in both the stationary (e.g., television) and mobile (e.g., smartphone) contexts to yield the general conclusion that large screens are key to a more positive user experience (Lombard, 1995; Hou et al., 2012; Kim & Sundar, 2014, 2016). However, the generalizability of the effects of screen size observed in prior studies to the wearable context is questionable because size variation of smartwatches is limited in extent to a few tenths of an inch. Screen shape and size have together become salient structural features and modality cues in smartwatches; thus, their roles in determining the quality of wearable communication merit thorough investigation. To address this need, the current study probes the effects of screen shape (round vs. square) and screen size (large vs. small) on hedonic and pragmatic qualities of smartwatches and examines how such qualities influence information processing. Hedonic qualities are associated with the emotional and nonfunctional characteristics of a technology, such as the feelings of enjoyment, happiness, and sensuality, serving as personal aspirations that explain “why” interaction occurs (Hassenzahl & Monk, 2010). By contrast, pragmatic qualities are shaped by ease of use, efficiency, and functionality of the technology, focusing on “how” interaction with the technology occurs. This two-dimensional approach is particularly useful in drawing a more comprehensive picture of smartwatch usage, because smartwatches are convergent devices that serve both hedonic and pragmatic purposes (Kim & Shin, 2015). Further, given that variations in shape and size of media technology suggest the utilization of different modalities (i.e., modes of presentation) for conveying information (Sundar, 2008; Kim & Sundar, 2016), this study examines whether the mode of information presentation (text only vs. text + image) moderates the effects of screen shape and size. Effects of Screen Size Substantial research has consistently demonstrated that an increase in screen size generally has positive effects on user perceptions in various cognitive and affective domains, including those related to memory, realism, immersion, presence, and arousal (Lombard, 1995; Hou et al., 2012; Kim & Sundar, 2014, 2016). For example, Kim and Sundar (2014) assigned participants a web-browsing task on smartphones with 3.7” and 5.3” screens and found that the larger screen induced a more positive attitude and enhanced usage intention. They contend that large screens promote both the hedonic and pragmatic qualities of the technology, satisfying both affect- and task-oriented needs and motivations of users. Smartphones are convergent media that serve various user needs; thus, the hedonic and pragmatic qualities of large screens play an integral role in providing a more positive user experience. In this vein, the current study views smartwatches as another form of convergent media, albeit less sophisticated than smartphones, and predicts that variations in screen size may signify similar hedonic and pragmatic qualities, thereby influencing general user perceptions of the technology as well as users’ evaluation of the information transmitted through it. From the hedonic perspective, users may see smartwatches with large screens as more attractive than those with small screens. Individuals are drawn to objects that appear aesthetically pleasing (Dion, Berscheid, & Walster, 1972). This is especially true for smartwatches because “while people buy watches to tell time, the number one criterion in choosing a [smart] watch for most people is how it will look. It’s a fashion statement, not a technology one” (Bajarin, 2014). In other words, smartwatches are viewed not 2 Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association only as mere time-telling devices, but also as aesthetic items that express one’s personality and character. Large screens serve as salient modality cues that enhance the aesthetic value of smartwatches by evoking the customary belief that large objects are generally more attractive and pleasing or, simply, by triggering “the bigger the better” heuristic (Campbell, 1976; Josephs, Giesler, & Silvera, 1994; Silvera, Josephs, & Giesler, 2002). Individuals depend on such size-based habitual judgments when attributing aesthetic value to technology and when evaluating the quality of their interactions with technology. Consequently, interacting with an attractive technological source or receiving information via an attractive medium encourages users to ascribe greater quality and value to communicated content (Fogg & Tseng, 1999), as seen in human–human interaction wherein they would rate information received from physically attractive people as more credible and persuasive (Briñol & Petty, 2011). This suggests that the aesthetic appeal of smartwatches, increased by large screens, may induce more positive evaluations of information conveyed via the medium. The following hypotheses test these hedonic effects of large screen size. H1: Large-screen smartwatches will induce greater perceived attractiveness compared with small-screen smartwatches. H2: Enhanced attractiveness will, in turn, lead to more positive evaluations of the conveyed information. In terms of the pragmatic aspect, smartwatches with large screens may provide a greater sense of control than those with small screens, enabling users to perceive that they have greater control over their devices (Kim & Sundar, 2014). Given that touch-based interfaces are the predominant means of interaction on smartwatches, large screens induce a greater sense of control by enlarging the surface needed for more dynamic, intuitive, and sometimes more delicate and controlled interactions. Consequently, users who believe that they have sufficient control tend to perceive their devices as easy to use, useful for completing their tasks, and satisfying their needs (Koufaris, 2002; Lee & Park, 2008; Kim & Sundar, 2014). One explanation for this is that perceived control promotes a sense of readiness, connectedness, and efficiency, which helps to reduce the time and mental effort expended by users in reaching goals (Bandura, 1997; Shin, 2009). Furthermore, controllability provides users with the ability to set the pace of their interactions and information acquisition; therefore, media devices that afford sufficient control are likely to score high on representational information quality and enhance the user’s ability to understand and interpret the value of information (Eveland & Dunwoody, 2002; Sundar, 2008). This suggests that perceived control may serve as a mediator between the modality affordance offered by screen size and the information conveyed by it. The next hypotheses examine these pragmatic effects of large screen size. H3: Large-screen smartwatches will induce a greater sense of control compared with small-screen smartwatches. H4: Enhanced controllability will, in turn, lead to more positive evaluations of conveyed information. In addition to promoting the hedonic and pragmatic qualities of smartwatches, the use of large screens can determine the mode and depth of information processing. Dual process theorists propose two concurrent modes of information processing: systematic and heuristic assessments of the message. The former is characterized by deliberate and analytic examinations of the message contents, whereas the latter involves immediate and superficial evaluations of the message based on available heuristics (Chaiken, 1980; Chaiken, Liberman, & Eagly, 1989). Individuals, by nature, default to heuristic processing of information before systematic processing when salient heuristics that facilitate quick, easy Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 3 judgments are available to them (Chaiken, Liberman, & Eagly, 1989). According to the Modality, Agency, Interactivity, and Navigability (MAIN) model of technology effects, such heuristics can be easily triggered by sheer presentation of the technology’s structural features or modality affordances such as screen size (Sundar, 2008). Kim and Sundar (2016) adopt this dual process and heuristic approach to explicate how variations in screen size determine the mode of information processing on smartphones, and demonstrate that information conveyed via small-screen smartphones is likely to be processed systematically and thus yield more content-relevant, elaborated thoughts compared to identical information delivered via large-screen smartphones. This is because the large screen triggers “the bigger the better” and realism heuristics, and subsequently, the presence of these mental shortcuts activates heuristic processing, whereas its absence (i.e., in the case of a small screen) promotes systematic processing of information. Extending this literature to the wearable context, large-screen smartwatches are likely to inhibit the systematic processing of information because the screen size evokes the judgmental heuristics that lead to peripheral assessments of information, and thereby generate fewer content-relevant thoughts compared to small-screen smartwatches. The following hypothesis tests this possibility. H5: Information conveyed via large-screen smartwatches will yield fewer content-relevant thoughts compared to information conveyed via small-screen smartwatches. Effects of Screen Shape Theoretical attempts to explicate the psychological effect of shape have largely been based on the Gestalt principle of visual perception (Rock & Palmer, 1990) and on product packaging in marketing (Raghubir & Greenleaf, 2006). However, compared with screen size, the relationship between screen shape and media experience has not yet received significant attention from media effects scholars, because digital media predominantly (almost always) use rectangles or variations on rectangles for screen shape. In other words, the focus has been on identifying the ideal aspect ratio (e.g., 16:9 vs. 4:3) for rectangular screens and applying design features to make them look better (e.g., rectangles with rounded corners), while overlooking the psychological effects of geometrically different screen shapes (e.g., rectangles vs. circles) on media technology. The recent popularity of smartwatches, however, has motivated designers and manufacturers to move away from conventional rectangular screens and adopt round screens as one possible way to promote products in the increasingly competitive wearables market. For example, recent smartwatches from leading manufacturers, such as the Samsung Gear S2, Motorola Moto 360, and LG Watch Urbane, have adopted round screens to differentiate their products from earlier smartwatches with square screens. However, the question still remains: Does screen shape really matter for smartwatches? The consensus on shape psychology has suggested that circles, squares, and triangles have psychological primacy as “good” shapes. Researchers have contended that these are naturally salient prototypes and perceptually dominant forms that are more easily learned and recognized than other shape variants, even for individuals who encounter such classes of shape for the first time and whose languages have no terms for discerning shapes (Rosch, 1973; Bruce & Green, 1985). In contrast, another stream of research has argued that these good shapes are extremely rare in nature and that objects in the natural world tend to have irregular shapes (Hailman, 1977; Roberson, Davidoff, & Shapiro, 2002); therefore, perceptual categorization and recognition of shapes develop with age and experience (Gibson, 1969). If the concept of shapes is indeed acquired later rather than universally and prelinguistically present, round (circular) screens for smartwatches may be more easily recognized and accepted than square screens within the 4 Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association wearable context, as the circular dial has been the predominant shape in analog watches for several hundred years. Given this existing familiarity or experience with the common usage of shape, the adoption of round screens in smartwatches is expected to induce positive psychological effects. From a design perspective, different shapes elicit distinctive psychological responses from users. Design principles associated with shapes generally suggest that circles signify affection, comfort, harmony, warmth, and sensuality, whereas rectangles connote logic, order, singularity, homogeneity, regularity, and a mathematical foundation (Pinna, 2012; Bradley, 2013). Intuitively, the hedonic elements of circles are more likely to be positively related to the hedonic qualities of smartwatches with round screens, compared to those with square screens. On the other hand, given the pragmatic nature of rectangles, the pragmatic qualities of smartwatches may be more strongly promoted by square screens. In terms of message elaboration, the dual process models would suggest that round screens, like large screens, serve as a salient modality cue that triggers certain heuristics that promote peripheral, rather than systematic, processing of the mediated contents. For example, round screens may evoke the novelty heuristic because earlier media technologies, including the first generation of smartwatches, predominantly adopted square screens until Motorola released the world’s first round-screen smartwatch in late 2014. Sundar (2008) argues that, when this heuristic is triggered, users become so enamored by the technology’s novelty and originality that they attribute greater quality to the content delivered by the new modality (e.g., round screens) compared to the identical content presented by a conventional mechanism. As reviewed in the preceding section, the assessment and processing of information is largely influenced by heuristic cues irrelevant to the central content of the information, indicating the possibility that information presented on round screens may generate fewer content-relevant thoughts than the same information presented on square screens. The literature discussed so far suggests that variations in smartwatch screen shape are likely to have significant psychological effects on user perceptions and information processing, but such shape-induced effects have not yet been empirically investigated in the context of technology-mediated communication. Therefore, this study addresses the following research question in an attempt to lend empirical support to the literature. RQ1. How does the variation in screen shape (round vs. square) affect the perception of hedonic and pragmatic qualities of smartwatches and processing of conveyed information? Moderating Effects of Presentation Mode The fact that digital media vary in screen shape and size means it is possible to present information in various modes, via text, image, audio, and/or video. Studies (e.g., Raphael & Wagner, 1974; Unnava & Burnkrant, 1991; Lalley, 1998; Hong, Thong, & Tam, 2004) demonstrate that each of these modalities features unique characteristics that influence the ways in which individuals process information, allowing certain modality-specific contents to be remembered better and processed faster than others (Sundar, 2000). For example, Hong, Thong, and Tam (2004) found that online product information presented in the text + image format outperformed the same content in text-only format in terms of shortening information search time, enhancing the recall of brand names, and inducing more positive attitudes toward a website. According to the dual coding theory (Paivio, 1991), the superiority of text + image mode (over text-only mode) is an outcome of a double effect independently and simultaneously induced by two cognitive subsystems: one specializing in processing verbal (textual) information and the other specializing in nonverbal (visual) information. Increasing the number of presentation modes, from text only to text + image to video, triggers the dual coding of information and develops both verbal and nonverbal retrieval routes to information, resulting in more realistic approximations of mediated contents and enhanced information retention and recall. Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 5 From the MAIN model perspective, the positive effect of multimodal presentation can be explicated in terms of the operation of cognitive heuristics. Just as large screens and round screens can trigger the heuristics that influence user interaction with smartwatches and processing of the mediated content, multimodal presentation may also evoke certain mental shortcuts, e.g., the realism heuristic, that determine how users perceive the device and process given information. Sundar (2008) argues that multimodal information requires a greater number of perceptual routes (e.g., auditory, visual) for processing, which resembles the ways in which humans use multiple sensory channels to perceive real-life experience and information. Therefore, when the realism heuristic is triggered by such resemblance, it is likely to interact with the other heuristics evoked by large screens and round screens, and consequently produce additive effects on user perceptions. However, the pattern or direction of this interaction is difficult to predict because the activation of multiple channels involved in information processing does not always lead to desirable cognitive outcomes. For example, research indicates that news stories presented in text format are better remembered and recalled than the same contents presented in audiovisual format or via radio and television (DeFleur et al., 1992; Sundar, 2000). Some scholars have postulated that the simultaneous activation of multiple modalities can serve to split attention by exposing users to stimuli irrelevant to the core argument of the message and exhaust the human cognitive resources dedicated to the encoding, storage, and retrieval of information (Thomas & Meglino, 1997; Lang, 2000). While these contradictory perspectives suggest that presentation mode influences the outcomes of media usage, they do not elucidate whether it induces positive or negative effects, particularly in the context of this study. Therefore, this study proposes the following research question to examine how the presentation mode by which information is presented on smartwatches interacts with variations in screen size and shape. RQ2: How does the variation in presentation mode (text only vs. text + image) by which information is presented moderate the effects of large screens and round screens? Method Experimental Setup A 2 × 2 × 2 between-subjects experiment with eight conditions representing the two screen sizes (large vs. small), two screen shapes (round vs. square), and two presentation modes (text + image vs. text only) was conducted at a large East Asian university. Four smartwatches with large/round, small/round, large/square, and small/square screens were prepared. Brand logos were masked to avoid the potential effects of brand reputation or familiarity. Products from Apple were intentionally excluded from the selection pool for the same reason. A post-experiment questionnaire item assessing whether participants knew the brands of the four smartwatches indicated that 11 participants could identify the brands of one or more of the smartwatches. Moreover, four of these 11 participants reported that they either owned or used a smartwatch on a regular basis. Given that users’ brand familiarity and prior experience are known to affect the evaluation of technology (Langton, Lewis, & Clarkson, 2007; de Angeli, Hartmann, & Sutcliffe, 2009), the study excluded responses from these 11 participants and conducted the final data analysis on the responses from the remaining 160 participants (86 males, 74 females, aged 18–30, M = 23, SD = 2.28). A power analysis verified that the current sample size was sufficient for testing the hypotheses, with a power of 87% and medium effect size. 6 Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association Given that one of the primary functions of smartwatches is to monitor the user’s health (Blakeway, 2014), stimuli messages sent via the smartwatches during the experiment contained information pertaining to skin temperature, heart rate, number of steps, and calories burned. To present the stimuli messages to participants, an application called “If This Then That,” or simply, IFTTT, was installed in the smartwatches, which enables the programming of the smartwatches so that if the experimenter sends the messages through paired smartphones, then the messages would be displayed on the smartwatches. In the text-only condition, participants received the information in plain-text format, whereas participants in the text + image condition received the same messages but with additional graphics that illustrated their health condition (Figure 1). The size and color of the messages were identical across all conditions, and the picture embedded in the multimodal messages was also identical in the text + image condition. Procedure After signing an informed consent form, participants were randomly assigned to one of the eight experimental conditions until each of them had 20 participants. The true purpose of the experiment was not explicitly revealed; instead, participants were told that they were going to try a newly developed wearable device and tell the experimenter about their overall experience and satisfaction with the device. That is, no particular task designed to motivate participants to engage in a goal-driven action was given; the hands-on experience was left up to them. After being informed of the experimental procedure, participants were asked to wear the smartwatch and were given several minutes to become familiar with it. They were then asked to leave the lab, walk along a specified path (designed and explained by the experimenter) around the lab building for 15 minutes, and use the smartwatch freely while walking. When participants returned to the lab, the experimenter sent the health messages to their smartwatches remotely either in text-only or text + image format and asked them to access and review the messages. After finishing the task, participants completed an online questionnaire on a desktop computer that elicited their assessment of the measured variables discussed in the following section. Measures Participants responded to each questionnaire item by indicating their agreement on a 7-point Likert scale ranging from 1 (strongly disagree/not at all) to 7 (strongly agree/very much so). All of the items were adapted from validated studies and finessed to reflect the context of the current study. A team of coders translated the items from English to the participants’ native language, and then another team of coders back-translated the items to English to confirm that the first coders had not altered the intended meaning of the original items. Internal consistency of the items was verified by calculating Figure 1 Stimuli messages in text-only and text + image formats presented on round-screen and square-screen smartwatches. Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 7 the values of Cronbach’s alphas, which were all above the recommended value of .70, as indicated below. Perceived attractiveness (Cronbach’s 𝛼 = .87) was measured using an index composed of five items adapted from Sundar, Tamul, and Wu (2014). Participants indicated the extent to which the smartwatch they used was “stylish,” “hip,” “sexy,” “hot,” and “on the cutting edge.” Perceived control (𝛼 = .90) was measured using four items adapted from Kang and Sundar (2016): “I was able to control my interaction with the smartwatch,” “I was able to influence how the smartwatch worked,” “I felt in charge of my experience with the smartwatch,” and “During my interaction with the smartwatch, I was able to make choices freely.” These items were summed to assess the degree to which participants felt that they had control over the smartwatches. Information quality (𝛼 = .87) was measured by the news perception scale developed by Sundar (2000). Participants indicated the extent to which they felt the given information was “believable,” “informative,” “accurate,” “objective,” “comprehensive,” and “clear.” Amount of content-relevant thoughts was operationalized as the total number of thoughts specifically relevant to the given messages (Chaiken & Maheswaran, 1994). Adopting the steps described in Kim and Sundar (2016), participants were given three minutes and asked to list all the thoughts they had while accessing the information via the smartwatches. Two graduate students then analyzed the lists by counting the content (message)-relevant thoughts (e.g., “I burned 10 calories”) and excluding thoughts irrelevant to the information (e.g., “the smartwatch was cool”). The two coders achieved satisfactory intercoder agreement with regard to the number of content-relevant thoughts (Krippendorff ’s 𝛼 = .90). Results Normality tests were conducted to verify the normal distribution of the data by examining the values of skewness and kurtosis. In sum, the results indicated no significant deviation from normality. Three-way analyses of variance (ANOVAs) were then conducted to examine the effects of screen size, screen shape, and presentation mode. Next, Hayes’s (2013) PROCESS macro for SPSS was employed to examine the mediating effects of perceived attractiveness and perceived control. Effects of Screen Size Consistent with H1 and H3, the ANOVA results indicated that the large-screen smartwatches were perceived to be more attractive, F(1, 152) = 49.97, p < .001, 𝜂 p 2 = .25, and easier to control, F(1, 152) = 9.54, p < .01, 𝜂 p 2 = .06, than the small-screen smartwatches. The results also indicated that the messages delivered via the large screens, compared to small screens, were rated higher in quality, F(1, 152) = 31.28, p < .001, 𝜂 p 2 = .17. As predicted in H5, the large screens inhibited participants from generating thoughts about the specific contents of the given information, such that the messages presented on the large screens elicited fewer content-relevant thoughts than the messages presented on the small screens, F(1, 152) = 12.31, p < .001, 𝜂 p 2 = .08. H2 and H4 were also supported. The results of the mediation analyses showed that the indirect effects of large screens on information quality through perceived attractiveness, B = .22, SE = .10, LLCI = .04, ULCI = .44, and through perceived control, B = .12, SE = .05, LLCI = .03, ULCI = .26, were both significant. Effects of Screen Shape With regard to the first research question, the ANOVA results showed that the round-screen smartwatches were perceived to be more attractive than the square-screen smartwatches, 8 Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association F(1, 152) = 5.19, p < .05, 𝜂 p 2 = .03. However, the reverse pattern was observed for perceived control: the square screens were perceived to provide a greater sense of control than the round screens, F(1, 152) = 10.54, p < .01, 𝜂 p 2 = .07. In addition, the messages presented on the round screens were rated higher in quality, F(1, 152) = 4.57, p < .05, 𝜂 p 2 = .03, and although statistically nonsignificant, generally elicited fewer content-relevant thoughts than the messages presented on the square screens. The results of the mediation analyses indicated that the indirect effect of round screens on information quality through perceived attractiveness was significant, B = .11, SE = .06, LLCI = .01, ULCI = .25. In addition, the sense of control heightened by the square screens had mediating effects on information quality, B = .19, SE = .07, LLCI = .07, ULCI = .36. Effects of Presentation Mode Presentation mode significantly influenced the level of information quality and processing. The messages presented in the image + text format were rated as higher in quality, F(1, 152) = 9.10, p < .01, 𝜂 p 2 = .06, and generated fewer content-relevant thoughts, F(1, 152) = 27.21, p < .001, 𝜂 p 2 = .15, than the messages in text-only format. Presentation mode, however, had no main effect on the perceived attractiveness and control of smartwatches. The interaction between screen size and presentation mode on information quality was significant, F(1, 152) = 35.33, p < .001, 𝜂 p 2 = .19. When participants used the large-screen smartwatches, the messages in the image + text format elicited perceptions of higher information quality than did messages in the text-only format. However, presentation mode made no difference to information quality when the messages were delivered on the small screens (Figure 2). A significant three-way interaction among screen size, screen shape, and presentation mode predicting information quality was found, F(1, 152) = 4.82, p < .05, 𝜂 p 2 = .03. When the messages were presented in the image + text format, both the large/round and large/square screens elicited higher perceptions of information quality than did the small/round and small/square screens (Figure 3, left). However, when the messages appeared in text-only format, variations in both screen size and screen shape made no difference to information quality (Figure 3, right). Figure 2 Two-way interaction between screen size and presentation mode predicting information quality. Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 9 Figure 3 Three-way interaction among screen size, screen shape, and presentation mode predicting information quality. Discussion One of the most divisive debates in the smartwatch market has originated from simple questions about design features: Should smartwatches be round or square? Should they be big or small? The current study empirically addresses these questions by demonstrating that screen shape and screen size are salient structural features of smartwatches that can make significant differences not only to the hedonic and pragmatic qualities of the devices, but also to the depth of information processing via smartwatches. Specifically, large screens are found to be more effective in promoting both the hedonic (perceived attractiveness) and pragmatic (perceived control) qualities of smartwatches than small screens. Similar to previous studies (e.g., Lombard, 1995; Hou et al., 2012; Kim & Sundar, 2014, 2016) that found positive effects of large screens in both the stationary and mobile contexts, the large-screen smartwatches induced a greater sense of attractiveness and control than did the small-screen smartwatches, which, in turn, led users to rate information provided by the smartwatches more favorably. Therefore, this study extends the existing screen size literature to wearable media technology by validating that a marginal difference in screen size as small as a few tenths of an inch can, in fact, result in notable psychological differences in user perception. This reconfirms the critical role of screen size in determining the quality of the media experience and suggests that the relevant literature is applicable to future wearable technology. However, screen size cannot be too large in the wearable context; thus, one challenge for future research is determining the optimal screen size that befits the wearable nature of the technology, guaranteeing the anywhere–anytime access to information (Kim & Sundar, 2014). Regarding screen shape, a different pattern was discovered: Round screens were positively associated with hedonic quality, whereas square screens were positively associated with the pragmatic quality of smartwatches. Theoretically, round screens may serve as an aesthetic or novelty cue that triggers the coolness heuristic, i.e., “a conscious acknowledgment of the hipness of the digital device suggested by its newer modalities” (Sundar, 2008). Given that most earlier smartwatches manufactured by the industry leaders (e.g., Samsung, LG, Sony, Pebble, Nike) predominantly had square screens, the sense of attractiveness and originality associated with round screens might have evoked the coolness heuristic (Sundar, Tamul, & Wu, 2014) and provided users with a more positive experience compared to the conventional square-screen smartwatches. Further, as Leland (2004) points out, coolness is more likely to facilitate symbolic and identity-related goals than utilitarian and pragmatic goals; hence, the sense of coolness 10 Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association Figure 4 Research model examined by the phantom model analysis. triggered by round screens might have led users to feel unique and different from others, allowing them to express their identity via an attractive, cool device. On the other hand, users might have attributed a higher pragmatic value to the square screens due to their greater controllability and ease of use and perceived that they were more practical for completing the experimental task efficiently than the round screens. Together, these findings also validate the generally accepted psychology regarding shapes, that circles signify affection, comfort, and sensuality, whereas rectangles reflect logic, order, and regularity (Pinna, 2012; Bradley, 2013). To further explicate this two-dimensional conceptualization of the effects of screen shape and size, the current study conducted a supplemental mediation analysis utilizing the phantom model approach (Rindskopf, 1984; Macho & Ledermann, 2011), which enables examination of the simultaneous effects of multiple independent and mediating variables on a dependent variable in a single analysis. In other words, the indirect effects of round screens and large screens, via the hedonic and pragmatic qualities of smartwatches, on information assessments were examined in the same model (Figure 4) in order to ascertain which mediation paths were statistically valid. The results of the phantom model analysis (Table 1) indicated that the proposed mediation paths were significant except for Path 4 (round screen → perceived control → information quality), such that large screens enhanced the quality of information by simultaneously boosting both the hedonic and pragmatic qualities of the smartwatch, whereas the effects of round screens on information quality were mediated only by the hedonic quality of the medium. This not only supplements the earlier finding that round screens are more closely associated with the hedonic, rather than pragmatic, quality of smartwatches, but also demonstrates that such an association holds even when an additional structural feature (i.e., screen size) is introduced to play a role in the communication process. Another noteworthy finding from the mediation analysis is that the overall magnitude of the hedonic routes (Path 1 and Path 3) was larger than that of the pragmatic routes (Path 2 and Path 4), despite the task-oriented nature of the assignment (i.e., accessing and reviewing health information), suggesting that the “what is beautiful is good” (Dion, Berscheid, & Walster, 1972) phenomenon prevails even in the wearable technology context. This is consistent with previous studies (e.g., Kim & Sundar, 2014, 2016) revealing that users place greater emphasis on the hedonic dimension of mobile communication technology than on its pragmatic dimension, even when they engage in practical and purposeful tasks. Kim and Sundar (2016) argue that the robust effects of hedonic factors in mobile communication are largely due to the medium’s mobility providing a sense of availability, expediency, and immediacy; the sense of mobility is likely to be strengthened in wearable communication and induce similar positive effects on the hedonic quality of smartwatches, even more so when Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 11 Table 1 Simultaneous Mediation Effects of Perceived Attractiveness and Perceived Control Underlying The Effects of Screen Size and Screen Shape on Information Quality Confidence interval Mediation path Path 1 Path 2 Path 3 Path 4 Large screen → Perceived attractiveness → Information quality∗∗ Large screen → Perceived control → Information quality∗ Round screen → Perceived attractiveness → Information quality∗∗ Round screen → Perceived control → Information quality B SE Lower CI Upper CI .28 .10 .10 .50 .09 .05 .01 .22 .13 .06 .02 .27 .02 .01 -.01 .03 ∗ p < .05, ∗∗ p < .01. information is presented on large and round screens compared with small and square screens. Another explanation is that hedonic qualities of a technology, such as beauty, tend to be regarded as the central characteristics of that technology (Forgas, 1995) because they are easily accessible through the technology’s visual presentation while pragmatic qualities are revealed through the interaction with the technology (Hassenzahl & Monk, 2010). That being said, the practical implication of the study findings is that those interested in maximizing the persuasive potential of a message (e.g., advertisers and e-health service providers) would do well to fully utilize the positive effects of large and round screens as one effective way to increase the quality of information by enhancing the hedonic quality of the medium that delivers it. With regard to information processing, screen size is found to influence the level of message elaboration. Consistent with the understanding that individuals initially engage in heuristic processing of conveyed information by resorting to easily accessible cognitive heuristics (Chaiken, 1980; Chaiken, Liberman, & Eagly, 1989), participants in the current study demonstrated the tendency to inhibit message elaboration when given information via large screens, theoretically because this modality cue might have triggered strong mental shortcuts such as “the bigger the better” and realism heuristics. In other words, participants might have effortlessly relied on such heuristics to assess the conveyed information via heuristic processing, whereas participants who received the same information on small screens were more likely to engage in systematic processing because the modality cue (i.e., large screen) was not available to trigger the aforementioned heuristics. More importantly, the fact that participants showed such differences, even though they received relatively short messages during the experiment, suggests that the structural features of media technology such as screen size can be equally as influential as, if not more than, the length, type, and content of information (i.e., message effects) and individual differences in motivation and ability to process information. In addition to screen shape and size, the role played by presentation mode helps to further understand how users perceive information in wearable communication. The significant main effects of multimodal presentation (image + text) on information quality and content-relevant thoughts (but not for perceived attractiveness and perceived control) indicate that presentation mode is more closely 12 Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association associated with the processing of communicated contents than it is with the quality of the communication medium itself. One possible explanation is that enriching the presentation mode, from text only to image + text, might have increased the number of perceptual systems involved in information processing, enabling the messages to be more easily decoded and translated with a higher resemblance to reality (Sundar, 2008; Kim & Sundar, 2016). The enhanced realism of the conveyed messages might have evoked a more peripheral processing of the given information with reduced cognitive elaboration. Furthermore, the moderating effects of presentation mode overall show that the messages in the image + text format generally boost the positive effects of large screens and round screens on information quality. The two-way interaction between screen size and presentation mode predicting information quality demonstrates that presentation mode plays a limited role when the messages are presented on small screens, but the multimode (image + text) enhances the information quality when the messages are presented on large screens. This pattern is consistent with the cue-cumulation effect suggested by Sundar, Knobloch-Westerwick, and Hastall (2007), indicating that the presence of the two positive modality cues (i.e., large screen and multimode) induces stronger additive effects on promoting the information quality compared to one modality cue. Similarly, the three-way interaction among screen size, screen shape, and presentation mode predicting information quality also suggests an interplay of the three positive modality cues (i.e., large screen, round screen, and multimode) inducing the cue-cumulation effect, such that the positive effect of large screens and round screens on information quality is further enhanced in multimodal message presentation. However, the messages presented on large screens and round screens play a limited role when the messages are delivered in the text-only format. One possible explanation is that the text mode alone requires greater cognitive elaboration for processing the messages because, in reality, human perceptual systems are used to processing multimodal information (Paivio, 1991; Sundar, 2008). Consequently, the greater cognitive effort invested in processing the messages in the text-only format might have inhibited the additive effect of large screens and round screens on promoting information quality. A key limitation of this study may arise from the question of whether the observed effects could be attributed solely to variations in screen shape and size. Methodologically, it would have been ideal to use smartwatches of the same brand, with identical structural and interface features. However, no one manufacturer currently produces smartwatches with all four screen variations (i.e., large/round, small/round, large/square, and small/square); hence, the experimenter selected smartwatches from three different brands that were likely to show a perceptible (and ecologically valid) difference in their shape and size. This leaves open the possibility that unexplored, uncontrolled hardware and interface features (e.g., processing power, screen resolution, display panel, wristband material) of the smartwatches could have played a role in influencing the effects of screen shape and size. Another methodological limitation involves the absence of investigations into the potential moderating effects of different levels of exposure to health information and types of experimental tasks. For example, prior studies have yielded two competing results pertaining to the message exposure frequency (Tellis, 1997): the repetitionist perspective, demonstrating that repeated exposure to message stimuli increases the accessibility and retrievability of the relevant information; and the minimalist perspective, positing that marginal exposure is sufficient to elicit optimal responses from message recipients. Similarly, the type of experimental tasks, or mode (e.g., action-driven vs. goal-driven) of using an object (i.e., smartwatch, as in this study), is found to influence how users perceive the hedonic and pragmatic values of the object (van Schaik & Ling, 2009). Therefore, incorporating such variations in exposure frequency and task type into the experiment could have further enhanced the explanatory strength of this study. Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 13 The limited generalizability of the study’s findings should also be noted. Given that the current experiment was conducted in the context of processing health information, other types of information available through smartwatches (e.g., entertainment and advertising) may be processed and evaluated differently when the size and shape of the devices vary, suggesting that the findings of this study may not be applicable to all types of information conveyed via wearable devices. Similarly, the sample consisting only of college students also limits the generalizability of the findings. The exponential growth of the smartwatch market suggests that they are likely to be used by diverse demographic groups; therefore, the homogeneous sample of students participating in this study may not represent the entire range of current and potential smartwatch users. Further, this sampling issue raises a question about the potential moderating effect of issue involvement. Given that younger populations tend to have relatively low involvement in health-related issues compared with elderly users who constantly track and monitor their health, this study’s suggestion that large and round screens be utilized may be effective only for the youth or those for whom health issues are of low personal relevance. Therefore, future studies should recruit a more representative, diverse sample and probe the moderating effects of information type and personal relevance to ensure greater generalizability and explanatory strength. Acknowledgments The work described in this article was fully supported by a grant from City University of Hong Kong (Project No. 7200509). References Arefin Shimon, S. S., Lutton, C., Xu, Z., Morrison-Smith, S., Boucher, C., & Ruiz, J. (2016). Exploring non-touchscreen gestures for smartwatches. In Proceedings of CHI’16 (pp. 3822–3833). Aoyama, S., Shizuki, B., & Tanaka, J. (2016). ThumbSlide: An interaction technique for smartwatches using a thumb slide movement. In Proceedings of CHI’16 (pp. 2403–2409). Bajarin, T. (2014). 3 things smartwatches need to be ready for prime time. Time. Retrieved from http:// time.com/6545/3-things-smartwatches-need-to-be-ready-for-prime-time Bandura, A. (1997). Self-efficacy: The exercise of control. New York: WH Freeman. Blakeway, L. (2014). A growing role in health care for smartwatches. The New York Times. Retrieved from http://www.nytimes.com/2014/01/21/fashion/a-growing-role-in-health-care-forsmartwatches.html?_r=2 Bradley, S. (2013). Design fundamentals: Elements, attributes, and principles. Boulder, CO: Vanseo Design. Briñol, P., & Petty, R. E. (2011). Source factors in persuasion: A self-validation approach. European Review of Social Psychology, 20(1), 49–96. Bruce, V., & Green, P. R. (1985). Visual perception: Physiology, psychology and ecology. London: Lawrence Erlbaum Associates. Campbell, B. G. (1976). Humankind emerging. Boston, MA: Little, Brown, & Co. Chaiken, S., Liberman, A., & Eagly, A. H. (1989). Heuristic and systematic information processing within and beyond the persuasion context. In J. S. Uleman & J. A. Bargh (Eds.), Unintended thought (pp. 212–252). New York: Guilford Press. Chaiken, S., & Maheswaran, D. (1994). Heuristic processing can bias systematic processing: Effects of source credibility, argument ambiguity, and task importance on attitude judgment. Journal of Personality and Social Psychology, 66(3), 460–473. 14 Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association de Angeli, A., Hartmann, J., & Sutcliffe, A. (2009). The effect of brand on the evaluation of websites. Lecture Notes in Computer Science, 5727, 638–651. DeFleur, M. K., Davenport, L., Cronin, M., & DeFleur, M. (1992). Audience recall of news stories presented by newspaper, computer, television and radio. Journalism Quarterly, 69(4), 1010–1022. Dion, K., Berscheid, E., & Walster, E. (1972). What is beautiful is good. Journal of Personality and Social Psychology, 24(3), 285–290. Eveland, W. P., & Dunwoody, S. (2002). An investigation of elaboration and selective scanning as mediators of learning from the Web versus print. Journal of Broadcasting & Electronic Media, 46(1), 34–53. Fogg, B. J., & Tseng, H. (1999). The elements of computer credibility. In Proceedings of CHI’99 (pp. 80–87). Forgas, J. P. (1995). Mood and judgment: The Affect Infusion Model (AIM). Psychological Bulletin, 117(1), 39–66. Gibson, E. J. (1969). Principles of perceptual learning and development. Englewood Cliffs, NJ: Prentice-Hall, Inc. Gordon, M., Ouyang, T., & Zhai, S. (2016). WatchWriter: Tap and gesture typing on a smartwatch miniature keyboard with statistical decoding. In Proceedings of CHI’16 (pp. 3817–3821). Hailman, J. P. (1977). Optical signals: Animal communication and light. Bloomington, IN: Indiana University Press. Hassenzahl, M., & Monk, A. (2000). The inference of perceived usability from beauty. Human–Computer Interaction, 25(3), 235–260. Hou, J., Nama, Y., Peng, W., & Lee, K. M. (2012). Effects of screen size, viewing angle, and players’ immersion tendencies on game experience. Computers in Human Behavior, 28(2), 617–623. Johnson, B. B. (2005). Testing and expanding a model of cognitive processing of risk information. Risk Analysis, 25(3), 631–650. Josephs, R. A, Giesler, R. B., & Silvera, D. H. (1994). Judgment by quantity. Journal of Experimental Psychology: General, 123(1), 21–32. Kang, H., & Sundar, S. S. (2016). When self is the source: Effects of media customization on message processing. Media Psychology, 19(4), 561–588. Kim, K. J., & Shin, D. (2015). An acceptance model for smart watches: Implications for the adoption of future wearable technology. Internet Research, 25(4), 527–541. Kim, K. J., & Sundar, S. S. (2014). Does screen size matter for smartphones? Utilitarian and hedonic effects of screen size on smartphone adoption. Cyberpsychology, Behavior, and Social Networking, 17(7), 466–473. Kim, K. J., & Sundar, S. S. (2016). Mobile persuasion: Can screen size and presentation mode make a difference to trust? Human Communication Research, 42(1), 45–70. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205–223. Lalley, J. P. (1998). Comparison of text and video as forms of feedback during computer assisted learning. Journal of Educational Computing Research, 18(4), 323–338. Lang, A. (2000). The limited capacity model of mediated message processing. Journal of Communication, 50(1), 46–70. Langdon, P., Lewis, T., & Clarkson, J. (2007). The effects of prior experience on the use of consumer products. Universal Access in the Information Society, 6(2), 179–191. Lee, T. M., & Park, C. (2008). Mobile technology usage and B2B market performance under mandatory adoption. Industrial Marketing Management, 37(7), 833–840. Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 15 Leland, J. (2004). Hip, the history. New York: Ecco. Lombard, M. (1995). Direct responses to people on the screen: Television and personal space. Communication Research, 22(3), 288–324. Macho, S., & Ledermann, T. (2011). Estimating, testing, and comparing specific effects in structural equation models: The phantom model approach. Psychological Methods, 16(1), 34–43. Paivio, A. (1991). Dual coding theory: Retrospect and current status. Canadian Journal of Psychology, 45(3), 255–287. Pinna, B. (2012). What is the meaning of shape? Gestalt Theory, 33(3/4), 383–422. Raghubir, R., & Greenleaf, E. A. (2006) Ratios in proportion: What should the shape of the package be? Journal of Marketing, 70(2), 95–107. Raphael, M. A., & Wagner, E. E., (1974). Training via text, audio tape or TV makes a difference. Training and Development Journal, 28(12), 3–5. Rindskopf, D. (1984). Using phantom and imaginary latent variables to parameterize constraints in linear structural models. Psychometrika, 49(1), 37–47. Roberson, D., Davidoff, J., & Shapiro, L. (2002). Squaring the circle: The cultural relativity of ‘good’ shape. Journal of Cognition and Culture, 2(1), 29–51. Rock, I., & Palmer, S. (1990). The legacy of Gestalt psychology. Scientific American, 263(6), 84–90. Rosch, E. H. (1973). Natural categories. Cognitive Psychology, 4(3), 328–350. Shin, D. H. (2009). Determinants of customer acceptance of multi-service network: An implication for IP-based technologies. Information & Management, 46(1), 16–22. Silvera, D. H, Josephs, R. A, & Giesler, R. B. (2002). Bigger is better: The influence of physical size on aesthetic preference judgments. Journal of Behavioral Decision Making, 15(3), 189–202. Sundar, S. S, Tamul, D., & Wu, M. (2014). Capturing “cool”: Measures for assessing coolness of technological products. International Journal of Human-Computer Studies, 72(2), 169–180. Sundar, S. S. (2000). Multimedia effects on processing and perception of online news: A study of picture, audio, and video downloads. Journalism & Mass Communication Quarterly, 77(3), 480–499. Sundar, S. S. (2008). The MAIN Model: A heuristic approach to understanding technology effects on credibility. In M. J. Metzger & A. J. Flanagin (Eds.), Digital media, youth, and credibility (pp. 72–100). Cambridge, MA: The MIT Press. Sundar, S. S., Knobloch-Westerwick, S., & Hastall, M. R. (2007). News cues: Information scent and cognitive heuristics. Journal of the American Society for Information Science and Technology, 58(3), 366–378. Tellis, G. J. (1997). Effective frequency: One exposure or three factors? Journal of Advertising Research, 37(4), 75–80. Thomas, D., & Meglino, B. (1997). Causal attribution in an intercultural interaction: The effect of stimulus presentation mode. Journal of Cross-Cultural Psychology, 28(5), 554–568. Tractinsky, N., Katz, A. S., & Ikar, D. (2000). What is beautiful is usable. Interacting with Computers, 13(2), 127–145. Unnava, H. R., & Burnkrant, R. E. (1991). An imagery-processing view of the role of pictures in printed advertisements. Journal of Marketing Research, 28(2), 226–231. van Schaik, P., & Ling, J. (2009). The role of context in perceptions of the aesthetics of web pages over time. International Journal of Human-Computer Studies, 67(1), 79–89. 16 Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association About the Author Ki Joon Kim is an assistant professor in the Department of Media and Communication at City University of Hong Kong, where he investigates how technological affordances of digital communication media influence the behavioral and psychological outcomes of technology–mediated communication. His works have appeared in international journals such as the Journal of Computer–Mediated Communication, Human Communication Research, Cyberpsychology, Behavior, and Social Networking, Computers in Human Behavior, Internet Research, and the International Journal of Human–Computer Studies. Address: M5084 Run Run Shaw Creative Media Centre, 18 Tat Hong Avenue, Kowloon, Hong Kong Email: [email protected] Journal of Computer-Mediated Communication (2017) © 2017 International Communication Association 17
© Copyright 2026 Paperzz