SmileTracker
Name
Picard_Smiletracker.pdf
Size
1.61 MB
Format
Adobe PDF
Checksum (MD5)
907394e2d90d95b651a23408c49216c0
Author(s)
Picard, Rosalind W.
Jaques, Natasha Mary
Chen, Weixuan
Date Issued
April 2015
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
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.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2702613.2732708
