UCLIC Research Seminar Series
The Quantified Self (QS) vision argues for collecting and analysing rich collections of personal data. According to the vision, such personal data facilitate greater self-insight promoting behaviour change. But although self quantification is important, quantified self technologies show poor rates of adoption. This talk explores reasons for this failure. I will revisit the QS vision, identifying its flaws, arguing that its overly analytic, overly rational and overly authoritative. I will present deployments of 3 new QS systems, that address these problems, proposing a new design approach to personal data systems.
Technology is transforming our everyday lives, how we think, interact and feel. I work at the intersection of Psychology and Computer Science. I study how technology is affecting fundamental aspects of our everyday lives, and use insights from Cognitive and Social Science to design new digital tools to support memory and collaboration and to help manage personal information. My past research was funded by the EU, NSF, EPSRC (UK), Google and Microsoft. I currently have an NSF grant to research Technology Mediation for Emotion Regulation, and a Google grant looking at collaborative file sharing.
I am Editor of Human Computer Interaction 1 of 2 top HCI journals. Recently I had the huge honour of being awarded a Lifetime Research Achievement Award from SIGCHI, the society of Human Computer Interaction professionals. I am also a Fellow of the Association of Computational Machinery (ACM).