LIFE-LOGGING TECHNOLOGY (SENSECAM): STATE-OF-THE-ART IN STUDYING AUTOBIOGRAPHICAL MEMORY Muhammad Salim Hossain Lecturer, Department of Psychology University of Dhaka, Bangladesh ABSTRACT Unlike other memory categories, autobiographical memories are not recalled but rather reconstructed because of its association with the self. The reconstructive nature of autobiographical memory was first revealed in the works of Bartlett (1932) but systematic study on this topic started in the last quarter of the previous century (Conway, 1996; Linton, 1975; Neisser, 1981; Wagenaar, 1986). However, most of these studies had methodological flaws because of their dependence on single participants. This paper critically reviews all the techniques used in studying autobiographical memory. Hence it also discusses the role of life-logging technology (SenseCam) in studying autobiographical memory. Keywords: Life-logging, SenseCam, Autobiographical memory 1.0 Early studies on AM Autobiographical memory (AM) refers to the memory of significant life events that are declarative and explicit in nature, recalled from the unique perspective of the self in relation to others (Nelson & Fivush, 2004). The importance of AM has long been acknowledged but systematic studies of AM have started recently. A variety of methods have been used to study AM (Galton 1879a, 1879b; Crovitz & Schiffman, 1974; Linton, 1975). However, these early methods suffer from great deal of inaccuracies. The evidence of such inaccuracies was found in several studies. In a study, subjects were exposed to an event and received misleading information about the event afterwards. Some subjects come to believe information that was merely suggested to them under this condition (Loftus, 1979; Crombag, Wagenaar, & Van Koppen, 1996). In another study, the strategy of repeated interviews about non-events to create pseudomemories in subjects was employed. It was found that children as well as adults tend to develop pseudo-memories in response to such interviews (Ceci, Crotteau Huffman, Smith, & Loftus, 1994). In another approach Barcley and Wellman (1986) instructed subjects to record autobiographical events over an extended period of time and the subjects underwent recognition tests in which they had to differentiate between original records and foils fabricated by the authors. The results of this study indicate that people are good at recognizing original autobiographical fragments, but relatively poor at rejecting pseudo-memories (i.e. foils). 2.0 Traditional methods of studying AM Galton (1879a, 1879b) started a technique for studying AM (later modified by Crovitz & Schiffman, 1974), which used experimenter-chosen probe words to elicit participants’ associated memories. This method suffers from unrepresentative sampling of memory and inconsistency in retrieval and response strategies across participants. Another approach to the study of AM used the contents of long-running daily [1] diaries to cue and assess memory (Linton, 1975; Wagenaar, 1986), but this method suffers from biased selection of experiences by the participants themselves and great deal of time consumed. The accuracy of autobiographical memories is thus unclear by employing such methods because people often forget or confuse everyday happenings, especially if similar episodes are encountered repeatedly. From this realization a more typical and sensitive test of recognition of AM introduced two types of items: actual and foils (Barcley & Wellman, 1986). Memory accuracy was assessed by looking jointly at the relative differences in recognition performance for actual events and the false recognition of foils. Moreover, advances in technology enabled the advent of experience sampling methods (Conner, Barrett, Tugade, & Tennen, 2007), such as Brewer’s (1988) experiments in which participants carried small electronic devices that prompted them at random intervals to record certain aspects of their current experience on paper response cards. Portions of these cards were later used to test memory. However, this method suffers the weakness of frequently and actively involving participants in capturing information, potentially altering the very memories it sets out to measure. 3.0 Life-logging technologies like SenseCam (SC), as a state-of-the-art in studying AM Serious methodological challenges were posed by the study of AM employing traditional methods, as people’s everyday experiences are not experimentally controlled, can span decades, and are largely unknowable to others (Brewer, 1986, 1996; Conway, 1990). Hence, life-logging technologies like SC are opening a new route to the investigation of AM. Life-logging is the term used to describe recording different aspects of your daily life, in digital form, for your own exclusive personal use. Life-logging technologies like SC (a small digital camera designed to take photographs, without user intervention, often triggered by the sensors) can produce a wealth of durable personal memory that can be used for assessing AM. Loveday and Conway (2011) found that SC cues powerfully facilitate recall of episodic memories and allow autobiographical memories to become specific and detailed than diary cues. Additionally, the subject also has more Proustian Memory (PM) to SC than to diary cues. Their study clearly shows the superiority of SC in studying AM than traditional techniques. Neuroimaging studies indicate that viewing SC images of personally experienced events activates parts of the brain involved in normal AM in both healthy and impaired subjects (Berry et al., 2009; Loveday & Conway, 2011). SenseCam also has potential for augmenting human cognition: as a cognitive prosthetic for people with memory impairments (Berry et al., 2007) or a memory aid for those with unimpaired memory (Sellen, Fogg, Hodges, & Wood, 2007). High cognitive compatibility and great deal of visual information (cues) obtained from SC are the possible reasons for such augmented AM. 4.0 Horizons are open for studying AM SenseCam is proving to be remarkable tool for studying memory of everyday events. It provides a degree of control that memory researchers have not had before both in collection of photographs and their later presentation as memory cues. SenseCam imagery with physiological measures could be used within standard cognitive behavioural therapy settings to treat a range of psychological disorders such as depression, anxiety, and psychosis (Hodges, Berry, & Wood, 2011). Despite the wide range of research already undertaken, there are many outstanding questions about SC and its role on cognition to be addressed. These include the role of frequency and interval of SC image viewing on the memories to be consolidated, duration of retention of AM events, importance of first-person image capture, role of important vs. trivial images on AM construction, effect of improved AM recollection on a person’s well-being, role of SC in improving semantic memory, prospective memory or executive functioning etc. Given the potential implications and possibilities of life-logging technologies like SC, it can breach the privacy of the individual. 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