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 |
| Summary: | 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. |
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