Personal Informatics Workshop at CHI 2010 (Poster)

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People strive to gain better knowledge of themselves by collecting information about their behaviors, habits, and thoughts. Personal informatics systems facilitates the collection and reflection on …

People strive to gain better knowledge of themselves by collecting information about their behaviors, habits, and thoughts. Personal informatics systems facilitates the collection and reflection on personal information. This workshop brought together researchers in a wide range of disciplines to discuss challenges and explore opportunities for HCI in the field of personal informatics. We identified technical and design issues. We discussed the benefits of reflecting on information about different facets of one's life, such as increased self-awareness, holistic engagement with life, and achievement of life balance. Key research areas include: ubiquitous computing, life logging, visualizations, persuasive technologies, interaction design, and the psychology of self-knowledge and self-awareness.

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  • 1. CHI 2010 WORKSHOP Personal Informatics and HCI Ian Li Anind Dey Know Thyself: Monitoring and Reflecting on Facets of One’s Life Jodi Forlizzi Introduction People strive to gain better knowledge of themselves by collecting information about their behaviors, habits, and thoughts. Personal informatics systems facili- tates the collection and reflection on personal information. This workshop brought together researchers in a wide range of disciplines to discuss challenges and ex- plore opportunities for HCI in the field of personal informatics. We identified tech- nical and design issues. We discussed the benefits of reflecting on information about different facets of one's life, such as increased self-awareness, holistic en- gagement with life, and achievement of life balance. Key research areas include: Web http://personalinformatics.org/chi2010/ ubiquitous computing, life logging, visualizations, persuasive technologies, interac- tion design, and the psychology of self-knowledge and self-awareness. Blog http://blog.personalinformatics.org/ Forum http://personalinformatics.ning.com/ Personal Informatics Challenges Collection Reflection Collection–Reflection Perceived cost/benefits for the user Cheaper configurable hardware Active vs. passive Creating narratives from data Recording everything & filtering Accuracy of sensory input User vs designer perspective Motivation for collection How to use collection tools Reliability of sensors What is the value of reflection? Difficulty of aggregating data What is your target group? Lifetime of battery Reflection to express oneself Uses of data (e.g., productivity) Viewing content for digital artifacts Easy to use, wearable, non-intrusive Authenticity and confrontation Experts vs. novices Managing different data formats Real-time vs delayed Social aspects and sharing of data Creating readable visualizations? Generalization from different inputs Local vs. remote log Going beyond personal reflection What would drive self-reflection Differences in interest in data Brainstorming Personal Informatics Systems Idea 1 Idea 3 Knowing yourself through the mirror of others Watch your Google searches along changing context Collection: Manual vs automatic, anonymous, collection of photos, tags, notes, Watch the searches and derive higher-level context from what is searched environmental and context sensors (sound, gaze, smells, light) that enable recon- struct world as seen from my point of view Reflection: Health? starting conversation with somebody else sharing same Idea 4 point of view as me, public displays, enabling self-discovery and strengthening Quantifying user-generated metrics and sharing with relationships in community (neighbors, family, friends) social network Idea 2 Enable user to abstract from (raw) data Watching my media consumption as a reflection User defines metrics on my social life Selective granularities of information with selected groups of people Score everything with points (user-defined); make it a game TV / live / recorded / different genres Who? On which devices? With whom? Where? When? Normalize metrics across users (maybe with help from others) We may need different levels of metadata collected during consumption: explicit Facilitate comparison of performance info, tagged by producer, by system, re-blogged in channels Make applications in different domains (e.g., energy consumption, nutrition tracking, stress level tracking) We may need different pattern recognition techniques to derive sensible metadata Identify possible ‘changes’ (action points), face challenges to score points! We may derive novel information about ourselves e.g. media consumption anxiety Implement system as a continuos loop of collection-reflection Participants Visitors Dominikus Baur Sudheendra Hangal Zachary Pousman Edison Thomaz Matthias Betz Youn-kyung Lim Thorsten Prante Katarzyna Wac Joshua B. Gross Zhicheng Liu Reza Rawassizadeh Norbert Gyorbiro Yevgeniy Medynskiy Pedro Sanches Jonna Hakkila Brennan Moore Nathan Yau