@inproceedings{mcduff2012affectaura, author = {McDuff, Daniel and Karlson, Amy and Kapoor, Ashish and Roseway, Asta and Czerwinski, Mary}, title = {AffectAura: An Intelligent System for Emotional Memory}, booktitle = {Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI '12)}, year = {2012}, month = {May}, abstract = {We present AffectAura, an emotional prosthetic that allows users to reflect on their emotional states over long periods of time. We designed a multimodal sensor set-up for continuous logging of audio, visual, physiological and contextual data, a classification scheme for predicting user affective state and an interface for user reflection. The system continuously predicts a user's valence, arousal and engagement, and correlates this with information on events, communications and data interactions. We evaluate the interface through a user study consisting of six users and over 240 hours of data, and demonstrate the utility of such a reflection tool. We show that users could reason forward and backward in time about their emotional experiences using the interface, and found this useful.}, publisher = {ACM}, url = {http://approjects.co.za/?big=en-us/research/publication/affectaura-an-intelligent-system-for-emotional-memory/}, pages = {849-858}, }