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- Leahu, Lucian, et al.
(author)
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Freaky : Collaborative enactments of emotion
- 2015
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In: Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW. - New York, NY, USA : ACM Digital Library. - 9781450329224 ; , s. 17-20
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Conference paper (peer-reviewed)abstract
- The field of CSCW is increasingly drawing on theories and approaches from feminist philosophy of science. To date such efforts have focused on understanding users and their practices. We present a research prototype showing that feminist theories can lead to novel design solutions. Freaky is a mobile, interactive system that collaborates with its users in the enactment of emotion. Informed by the feminist literature, the system introduces a novel approach to emotion: designing for human-machine co-production of emotion.
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- Leahu, Lucian, et al.
(author)
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Freaky : Performing hybrid human-machine emotion
- 2014
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In: Proceedings of the Conference on Designing Interactive Systems. - New York, NY, USA : ACM. - 9781450329026 ; , s. 607-616
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Conference paper (peer-reviewed)abstract
- This paper explores the possibility of using statistical classification of physiological signals into emotion categories as a resource for open-ended human interpretation of emotion. Typically, design studies for affect assume either that it is possible for computers to objectively identify users' emotions, or that emotion is completely subjective and thus rely solely on human interpretation. By drawing on the feminist concept of performativity, we explain how to conceive of computational representations and human actors as coconstructing emotions. Through a case study of Freaky, a system that uses such models of emotion to support human interpretation, we demonstrate how machine learning models of affect can be constructed and incorporated in systems designed for open-ended user interpretation of affect. Qualitative results from a user deployment show that a performative approach to modeling emotion is possible. We thus demonstrate the potential of performative theories to be generative of new computational and design practices that support hybrid human-machine enactments of emotion.
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- Leahu, Lucian, et al.
(author)
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How categories come to matter
- 2013
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In: Conference on Human Factors in Computing Systems - Proceedings. - New York, NY, USA : ACM. - 9781450318990 ; , s. 3331-3334
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Conference paper (peer-reviewed)abstract
- In a study of users' interactions with Siri, the iPhone personal assistant application, we noticed the emergence of overlaps and blurrings between explanatory categories such as "human" and "machine." We found that users work to purify these categories, thus resolving the tensions related to the overlaps. This "purification work" demonstrates how such categories are always in flux and are redrawn even as they are kept separate. Drawing on STS analytic techniques, we demonstrate the mechanisms of such "purification work." We also describe how such category work remained invisible to us during initial data analysis, due to our own forms of latent purification, and outline the particular analytic techniques that helped lead to this discovery. We thus provide an illustrative case of how categories come to matter in HCI research and design.
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