SmileTracker
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 phot...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Association for Computing Machinery (ACM)
2017
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| Online Access: | http://hdl.handle.net/1721.1/109047 https://orcid.org/0000-0002-5661-0022 https://orcid.org/0000-0002-8413-9469 https://orcid.org/0000-0001-9550-2553 |
| _version_ | 1826194793711009792 |
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| author | Picard, Rosalind W. Jaques, Natasha Mary Chen, Weixuan |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Picard, Rosalind W. Jaques, Natasha Mary Chen, Weixuan |
| author_sort | Picard, Rosalind W. |
| collection | MIT |
| description | 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. |
| first_indexed | 2024-09-23T10:01:54Z |
| format | Article |
| id | mit-1721.1/109047 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T10:01:54Z |
| publishDate | 2017 |
| publisher | Association for Computing Machinery (ACM) |
| record_format | dspace |
| spelling | mit-1721.1/1090472022-09-30T18:27:10Z SmileTracker Picard, Rosalind W. Jaques, Natasha Mary Chen, Weixuan Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) Picard, Rosalind W. Jaques, Natasha Mary Chen, Weixuan 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. Robert Wood Johnson Foundation (Wellbeing Initiative) 2017-05-12T17:39:44Z 2017-05-12T17:39:44Z 2015-04 Article http://purl.org/eprint/type/ConferencePaper 9781450331463 http://hdl.handle.net/1721.1/109047 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). https://orcid.org/0000-0002-5661-0022 https://orcid.org/0000-0002-8413-9469 https://orcid.org/0000-0001-9550-2553 en_US http://dx.doi.org/10.1145/2702613.2732708 Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '15 Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Association for Computing Machinery (ACM) MIT web domain |
| spellingShingle | Picard, Rosalind W. Jaques, Natasha Mary Chen, Weixuan SmileTracker |
| title | SmileTracker |
| title_full | SmileTracker |
| title_fullStr | SmileTracker |
| title_full_unstemmed | SmileTracker |
| title_short | SmileTracker |
| title_sort | smiletracker |
| url | http://hdl.handle.net/1721.1/109047 https://orcid.org/0000-0002-5661-0022 https://orcid.org/0000-0002-8413-9469 https://orcid.org/0000-0001-9550-2553 |
| work_keys_str_mv | AT picardrosalindw smiletracker AT jaquesnatashamary smiletracker AT chenweixuan smiletracker |