Empirical model-building and response surface
Empirical model-building and response surface
interactions
Persuasive computers: perspectives and research directions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
Making by making strange: Defamiliarization and the design of domestic technologies
ACM Transactions on Computer-Human Interaction (TOCHI)
Proceedings of the 4th decennial conference on Critical computing: between sense and sensibility
Subjective objectivity: negotiating emotional meaning
Proceedings of the 7th ACM conference on Designing interactive systems
A stage-based model of personal informatics systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pensieve: supporting everyday reminiscence
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Know thyself: monitoring and reflecting on facets of one's life
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Gamification. using game-design elements in non-gaming contexts
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Understanding how visual representations of location feeds affect end-user privacy concerns
Proceedings of the 13th international conference on Ubiquitous computing
Understanding my data, myself: supporting self-reflection with ubicomp technologies
Proceedings of the 13th international conference on Ubiquitous computing
See friendship, sort of: how conversation and digital traces might support reflection on friendships
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Adversarial Design
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We present an alternative approach to the design of personal informatics systems: instead of motivating people to examine their own behaviors, this approach promotes awareness of and reflection on the infrastructures behind personal informatics and the modes of engagement that they promote. Specifically, this paper presents an interface that displays personal web browsing data. The interface aims to reveal underlying infrastructure using several methods: drawing attention to the scope of mined data by displaying deliberately selected sensitive data, using purposeful malfunction as a way to encourage reverse engineering, and challenging normative expectations around data mining by displaying information in unconventional ways. Qualitative results from a two-week deployment show that these strategies can raise people's awareness about data mining, promote efficacy and control over personal data, and inspire reflection on the goals and assumptions embedded in infrastructures for personal data analytics.