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SmileTracker

Author(s)
Picard, Rosalind W.; Jaques, Natasha Mary; Chen, Weixuan
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DownloadPicard_Smiletracker.pdf (1.608Mb)
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Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/
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Abstract
This paper presents a system prototype designed to capture naturally occurring instances of positive emotion during the course of normal interaction with a computer. A facial expression recognition algorithm is applied to images captured with the user's webcam. When the user smiles, both a photo and a screenshot are recorded and saved to the user's profile for later review. Based on positive psychology research, we hypothesize that the act of reviewing content that led to smiles will improve positive affect, and consequently, overall wellbeing. We conducted a preliminary user study to test this hypothesis, as well as to gather feedback on the initial design.
Date issued
2015-04
URI
http://hdl.handle.net/1721.1/109047
Department
Massachusetts Institute of Technology. Media Laboratory; Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Journal
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '15
Publisher
Association for Computing Machinery (ACM)
Citation
Jaques, Natasha, Weixuan “Vincent” Chen, and Rosalind W. Picard. “SmileTracker.” Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA ’15 (2015).
Version: Author's final manuscript
ISBN
9781450331463

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