Affective computing
Emotion & design: attractive things work better
interactions
Evaluating affective interfaces: innovative approaches
CHI '05 Extended Abstracts on Human Factors in Computing Systems
A continuous and objective evaluation of emotional experience with interactive play environments
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The sensual evaluation instrument: developing an affective evaluation tool
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Expressing emotion in text-based communication
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Let's get emotional: emotion research in human computer interaction
CHI '07 Extended Abstracts on Human Factors in Computing Systems
Evaluating emotional algorithms using psychological scales
Proceedings of the International Workshop on Affective-Aware Virtual Agents and Social Robots
Editorial: Modelling user experience - An agenda for research and practice
Interacting with Computers
User experience evaluation methods: current state and development needs
Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries
Love, hate, arousal and engagement: exploring audience responses to performing arts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The measurement of affect in HCI research is a challenging and complex issue. Although a number of techniques for measuring affect have been developed, a systematic discussion of their effectiveness and applicability in different contexts remains lacking, especially in social contexts with multiple users. As computing shifts to increasingly collaborative and ubiquitous models, it is important to discuss affect measurement beyond the individual level. This workshop will provide a forum where designers, practitioners, and researchers can 1) introduce novel methods of affect measurement that go beyond physiological and self-report measures, 2) advance our understanding of existing measurement methods and how they can be expanded, and 3) critically evaluate issues of affect measurement.