Regrets, I\u27ve Had a Few: When Regretful Experiences Do (and Don\u27t) Compel Users to Leave Facebook

Previous work has explored regretful experiences on social media. In parallel, scholars have examined how people do not use social media. This paper aims to synthesize these two research areas and asks: Do regretful experiences on social media influence people to (consider) not using social media? How might this influence differ for different sorts of regretful experiences? We adopted a mixed methods approach, combining topic modeling, logistic regressions, and contingency analysis to analyze data from a web survey with a demographically representative sample of US internet users (n=515) focusing on their Facebook use. We found that experiences that arise because of users\u27 own actions influence actual deactivation of their Facebook account, while experiences that arise because of others\u27 actions lead to considerations of non-use. We discuss the implications of these findings for two theoretical areas of interest in HCI: individual agency in social media use and the networked dimensions of privacy

Double Binds and Double Blinds: Evaluation Tactics in Critically Oriented HCI

Critically oriented researchers within Human-Computer Interaction (HCI) have fruitfully intersected design and critical analysis to engage users and designers in reflection on underlying values, assumptions and dominant practices in technology. To successfully integrate this work within the HCI community, critically oriented researchers have tactically engaged with dominant practices within HCI in the design and evaluation of their work. This paper draws attention to the ways that tactical engagement with aspects of HCI evaluation methodology shapes and bears consequences for critically oriented research. We reflect on three of our own experiences evaluating critically oriented designs and trace challenges that we faced to the ways that sensibilities about generalizable knowledge are manifested in HCI evaluation methodology. Drawing from our own experiences, as well as other influential critically oriented design projects in HCI, we articulate some of the trade-offs involved in consciously adopting or not adopting certain normative aspects of HCI evaluation. We argue that some forms of this engagement can hamstring researchers from pursuing their intended research goals and have consequences beyond specific research projects to affect the normative discourse in the field as a whole

Supporting Accurate Interpretation of Self-Administered Medical Test Results for Mobile Health: Assessment of Design, Demographics, and Health Condition

Background: Technological advances in personal informatics allow people to track their own health in a variety of ways, representing a dramatic change in individuals’ control of their own wellness. However, research regarding patient interpretation of traditional medical tests highlights the risks in making complex medical data available to a general audience. Objective: This study aimed to explore how people interpret medical test results, examined in the context of a mobile blood testing system developed to enable self-care and health management. Methods: In a preliminary investigation and main study, we presented 27 and 303 adults, respectively, with hypothetical results from several blood tests via one of the several mobile interface designs: a number representing the raw measurement of the tested biomarker, natural language text indicating whether the biomarker’s level was low or high, or a one-dimensional chart illustrating this level along a low-healthy axis. We measured respondents’ correctness in evaluating these results and their confidence in their interpretations. Participants also told us about any follow-up actions they would take based on the result and how they envisioned, generally, using our proposed personal health system. Results: We find that a majority of participants (242/328, 73.8%) were accurate in their interpretations of their diagnostic results. However, 135 of 328 participants (41.1%) expressed uncertainty and confusion about their ability to correctly interpret these results. We also find that demographics and interface design can impact interpretation accuracy, including false confidence, which we define as a respondent having above average confidence despite interpreting a result inaccurately. Specifically, participants who saw a natural language design were the least likely (421.47 times, P=.02) to exhibit false confidence, and women who saw a graph design were less likely (8.67 times, P=.04) to have false confidence. On the other hand, false confidence was more likely among participants who self-identified as Asian (25.30 times, P=.02), white (13.99 times, P=.01), and Hispanic (6.19 times, P=.04). Finally, with the natural language design, participants who were more educated were, for each one-unit increase in education level, more likely (3.06 times, P=.02) to have false confidence. Conclusions: Our findings illustrate both promises and challenges of interpreting medical data outside of a clinical setting and suggest instances where personal informatics may be inappropriate. In surfacing these tensions, we outline concrete interface design strategies that are more sensitive to users’ capabilities and conditions

Ghosts in the Smart Home

We are in the midst of a ‘post-anthropocentric’ turn in design, research and technology. The term refers to a renewed interest in a wide range of concepts, theoretical perspectives, and methodologies. Ghosts in the Smart Home is a post-anthropocentric experiment which manifests as a film whose cast of characters are all internet connected ‘smart’ devices. The motivation is to prototype and establish new ways to see, to be, and to know, which respond to the 21st century’s complex socio-technical system

Self-Obviating Systems and their Application to Sustainability

Most research in computing and information science reinforces the premise that information and communications technology (ICT) can be productively applied even more broadly than it is at present. A recent thread of research in sustainable HCI, however, has focused on the possibility that there are many situations where less ICT, not more, may be desirable. We envision an adaptation of this premise, where the goal is not just to consciously omit or remove ICT systems, but rather to create systems explicitly designed to make themselves superfluous through their use. Such a system—one in which the successful operation of the system in the short term renders it superfluous in the long term—could be called a “self-obviating system”. We present a case study in the sustainable food domain for a context in which self-obviating systems could be useful, and a typology of self-obviating systems that could be relevant to other domains. Self-obviating systems could be an important part of a sustainable future, and could be applied more broadly in ICT design.ye

The seven year glitch:Unpacking beauty and despair in malfunction

I(am)MEI: 013709002488246. I was born in many countries - my accelerometer came from Germany, my battery from China, the lithium in my battery was mined in Chile, my gyroscope from Switzerland, my camera... from Japan. I was assembled carefully from these component parts, and had two less than careful owners before R picked me up from a reseller, and brought me back to his house in London, UK. We had a good time together - at first: he revelled in my speed and ability to find things, we viewed the world via a lens with infinite options. But I was not built to last. This is my story