Mood meter: counting smiles in the wild
Name
Picard_mood_meter.pdf
Size
1.45 MB
Format
Adobe PDF
Checksum (MD5)
da8c22f58023701a873802e88e4058f2
Author(s)
Hernandez Rivera, Javier
Hoque, Mohammed Ehasanul
Drevo, Will
Picard, Rosalind W.
Date Issued
September 2012
Journal
Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp '12
Publisher
Association for Computing Machinery
Citation
Hernandez, Javier, Mohammed (Ehsan) Hoque, Will Drevo, and Rosalind W. Picard. “Mood Meter.” Proceedings of the 2012 ACM Conference on Ubiquitous Computing - UbiComp ’12 (2012), Sept. 5-8, 2012, Pittsburgh, USA, ACM.
Version
Author's final manuscript
Abstract
In this study, we created and evaluated a computer vision based system that automatically encouraged, recognized and counted smiles on a college campus. During a ten-week installation, passersby were able to interact with the system at four public locations. The aggregated data was displayed in real time in various intuitive and interactive formats on a public website. We found privacy to be one of the main design constraints, and transparency to be the best strategy to gain participants' acceptance. In a survey (with 300 responses), participants reported that the system made them smile more than they expected, and it made them and others around them feel momentarily better. Quantitative analysis of the interactions revealed periodic patterns (e.g., more smiles during the weekends) and strong correlation with campus events (e.g., fewer smiles during exams, most smiles the day after graduation), reflecting the emotional responses of a large community.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/2370216.2370264
