End-User Research in the Informatics Process An Overview and Demonstration n Don Rickert, Ph.D. n 4/8/03 What do I mean by “Research?” n Any set of activities where data are collected and analyzed for the purpose of making generalizations beyond the study (Hughes, 1999) 2 What Is User Research in the Technology Development Context? n The discipline that is concerned with… n n Translating end user or other consumer insights into the development of new systems (or improving legacy systems) Who does this research?—much interdisciplinary cross-fertilization, especially among— n Psychology n Human Factors n Information & Decision Systems n Market/Consumer Research n Industrial Design n Anthropology 3 Fundamental Foci of End-User Research in a Technology Context n Figuring out who the target users are n Understanding the motivations of these target users n Uncovering their unmet needs and desires (what is appealing?) n Using the insights gained to support intelligent business decisions 4 Typical Pragmatic Research Questions n Will anybody care about this product? n Why should they care? n Who are these people who will care? n What should the product look like? n How should it behave? n Will people (the ones who care) pay enough for the product for us to make money? n Bottom line: Should we build it at all? 5 Faith in Reason n Historically, the practice of Research involving people tends to be characterized by— n A rational view of human motivation n Faith in linguistic measures (the “Voice of the Consumer”) 6 Risks to Gaining Useful Insights From People n Asking irrelevant questions n Not asking the right questions n Asking questions in such a way as to create attitudes and opinions where none previously existed n Assuming that what happens in a formal research setting applies in the “real world” n Confusing what people are willing to say in a group interview with what they really think 7 More Risks n Observing people doing things that they would not really do n NOT observing them doing the things that they really would do n Confounding people’s remembered or imagined beliefs, attitudes, intentions or experiences with actual beliefs, attitudes, intentions and experiences. n Talking to, surveying or observing the wrong people 8 Reality Check n Beliefs, attitudes and intensions expressed by people (i.e. “Voice of the Consumer”) are notoriously unsuccessful at predicting actual behavior. n What people say and what they do are very often different. 9 Why Is This So? n People are not consciously aware of all of their beliefs, attitudes and intensions. n People don't really know what they want or need or how to articulate it. n Motivation is not completely rational. n n Our thought process is different in different emotional states. People’s memory about an experience is a VERY different thing than the experience itself. 10 The Role of Science n Science is— n n • Discover what is so • Explain it Science myths n n A form of inquiry that is capable of revealing to us the structure of the world and explaining what the world is really like. It seeks to— It IS possible to measure the all of the key variables and thus explain people’s behavior n Science is always deductive and involves hypothesis testing n Good science is always quantitative n Statistical significance is the same as importance Beyond that, there are MAJOR debates on what makes for inquiry that can be suitably called Science. 11 The Common Concerns on Which Most Scientists Agree n The notion of Error and the importance of avoiding it n Reliability n Validity 12 Error n Type I Error n n Type II Error n n Failing to observe something that really is true Concluding that something is true when it really isn’t Type III Error n Asking the wrong questions 13 Reliability n Are your measurements good? n E.g. can you repeat your study and consistently get the same results? 14 Validity n Are you measuring what you think you are measuring? n Internal Validity n n Is the effect you observe due to I stimulus that you have identified or something else entirely (that you don’t know about)? External Validity n Do the conclusions based on your observations apply in the real world? 15 Good Science boils down to … n n Avoiding error; i.e.— n Failing to observe something that really is true n Concluding that something is true when it really isn’t n Asking the wrong questions By… n Developing reliable measures n Observing the effects of stimuli on outcomes n Ruling out threats to validity 16 All of the methodology stuff that researchers argue about… n …is really about tactics for controlling error furthering reliability and validity, such as— n Representative samples n Qualitative vs. Quantitative n Response bias n Degrees of freedom n Experimental control n Situational biases n Repeatability 17 “Convergence of Method” n No research method is perfect. n No method, by itself, can ensure reliability and validity n Scientists always employ multiple methods, using the strengths of one or more methods to compensate for the weaknesses of each. n The process is called— n “Convergence of method” n Or “Triangulation 18 The Most Common Methods Employed by End-User Researchers n Questionnaires n Focus Groups n Interviews n Usability Testing n Real World Observation, such as… n Ethnography n Analysis of Artifacts 19 Questionnaires n Key Points n n Acceptable for “getting a pulse” on gross opinions • “I like this.” • “I hate that.” Easy way to collect data for quantitative analysis 20 Questionnaires n Typical purpose n n n n n To measure people’s experiences to assess their satisfaction with experiences of products To obtain “factual” information about people, such as their income or age. Why researchers use them n Easy way to collect data for quantitative analysis n Easy to get large sample sizes for “statistical significance” The risks n n To measure people’s beliefs, attitudes, intentions in order to make inferences about their behavior They measure people’s remembered or imagined beliefs, attitudes, intentions or experiences The possibility n A questionnaire with a well-documented relationship with actual behavior outcomes makes powerful quantitative analyses possible. 21 Focus Groups n Typical purpose n n Same as questionnaires: measure beliefs, attitudes, intentions and experiences Why researchers use them n n An assumption that, somehow, group discussion of attitudes, beliefs, intentions and experiences “draws out” the truth. Convenience • n n They look rigorous The risks n n Focus groups are a big business and there are lots of facilities. They measure what people are willing to say in a group about their remembered or imagined beliefs, attitudes, intentions or experiences The possibility n The discussion that occurs in focus groups can give researchers many insights to better explain actual consumer behavior that they observe in companion studies. 22 Interviews n Key Points n n Can be… • In a facility or • In the field or • Over the telephone Do not generate easy to analyze data. 23 Interviews n Typical purpose n n Why researchers use them n n n Probing by a good interview can draw out much more information than questionnaires Convenience—can even be done over the telephone or online The risks n n n You guessed it—measure beliefs, attitudes, intentions and experiences Same as questionnaires and focus groups, plus Asking questions can create attitudes and opinions where none existed before. The possibility n Hearing what consumers say can add to insights gained from actual observation of behavior. 24 Usability Testing n Key Points n n n What people do in a controlled setting When you are asking the questions Relatively unobstrusive observation of semi-realistic behaviors 25 Usability Testing n Typical things that researchers want to measure with usability tests n n Why researchers use them n n n n Problems with ease of use and other conventional quality problems A notion of scientific rigor—controlled setting with well-defined usage scenarios They can allow relatively unobtrusive observation of semi-realistic behaviors They do a good job of uncovering egregious problems with conventional quality The risks n “Type III” error • n the type of error arising from asking the wrong questions Observing people doing things that they would not really do and NOT observing them doing the things that they really would do. 26 The possibility for usability tests n When the right research questions are identified, usability testing really can help in identifying unforseen problems with a product. n When combined with other methods such as questionnaires, interviews, real-world observation, etc. usability testing provides compelling data. 27 Ethnography n Key Points n n n n n n On people’s own turf Observation of what they really do Often supplemented by field interviews and quantitative Expensive Data analysis is timeconsuming. High external validity (generalizable conclusions) 28 Analysis of Artifacts n Usually— n Customer Service logs n Complaint emails n Provide good context for understanding actual observations of customer behaviors n Can lead to wrong conclusions if interpreted ‘standalone’ (not in the context of actual observation). n I.e. should be done in concert with ethnography or other observational research 29 Ethics in End-User Research n The following slides are exerpted from a refereed paper entitled The Ethics Problem in Technology Companies and What Can Be Done About It presented by Don Rickert and Alycen Whiddon at the— n The eighth annual Ethics & Technology Conference, June 24-25, 2005 at Saint Louis University • http://205.240.10.101/denver.ethicstech/past_conference.html 30 Happy workplaces are a prerequisite for becoming ethical workplaces. n This is all about creating workplaces that are conducive to the type of reflection and responsibility needed on the part of every individual in the making of an ethics-driven company. n See Mihaly Csikszentmihalyi’s recent book, Good Business: Leadership, Flow and the Making of Meaning (2003) 31 Good workplaces don’t have… n Periodic staff reductions, especially when outsourcing is used to fill the deleted positions n Mergers (culture clashes and staff reductions are almost always a result) n Too few staff combined with aggressive development schedules n Vague and ever changing goals n Frequent reorganizations and reshuffling of staff n Dysfunctional politics 32 Human-Centered Product Design n Human-centered design is all about attempting to meet the real needs of consumers, not the development of new and improved manufactured desires. n What is important is that all companies, especially technology companies, need an organized and empowered group, whose duty it is to focus on the actual needs of customers. 33 The Belmont Report n Prescribes the essential responsibilities of researchers working with human beings, including informed consent, assessment of risks and benefits and selection of research participants. n Three key ethical principles n n Respect for Persons n Beneficence n Justice A copy of the Belmont Report is inclduded with this presentation 34 Focus Responsibility (Making ethical considerations everyone’s problem) n While the Belmont Report is a tool for focusing ethical decision-making for researchers, The Social Impact Statement helps engineers and others involved in the design of new products. 35 The Social Impact Statement n Attributed to Ben Shneiderman n Its explicit purpose is to provide a framework for designers to investigate the social impact of the systems they are responsible for. n Every product development team should prepare a detailed Social Impact Statement for whatever it is they produce. The report includes the following sections— n Executive summary n Description of the system n Analysis of the ethical issues (stakeholders, principles, risks, etc.) n Recommendations for actions, with analysis of the possible outcomes n Reader's guide to literature on the issues in more depth n Appendix that describes the methods used to collect data and prepare the analysis. 36 Education n What we need is true education in ethical principles. n Such education happens in university programs, not in two-day workshops. n The real hope is with the next generations. n Beacons of light n Online Ethics Center for Engineering and Science at Case Western Reserve (http://onlineethics.org/). 37
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