Muller, SR;
Matz, S;
Mascolo, C;
Harari, GM;
Khambatta, P;
Gosling, SD;
Mehrotra, A;
... Rentfrow, PJ; + view all
(2017)
Using Human Raters to Characterize the Psychological Characteristics of GPS-based Places.
In:
(Proceedings) UbiComp '17 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP) / ACM International Symposium on Wearable Computers (ISWC).
(pp. pp. 157-160).
Association for Computing Machinery (ACM)
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Abstract
This paper showcases an approach to combining smart-phone sensing technology, web mapping services, and psychological assessments to enhance our understanding of the psychological characteristics of places. For two weeks, twenty-six students used a smartphone app that passively collected GPS sensor data. Human raters then characterized their most frequently visited places on a number of psychological characteristics, such as ambience (e.g. how safe, urban, lively a place was perceived) and personality (e.g. a place's perceived extroversion and conscientiousness). We explored the relationship between these place characteristics and participants own personality traits, showing how the personality traits of the average visitor to a location can be similar or different from the place's characteristics. We conclude with a discussion of how this approach can be used in future research on places.
| Type: | Proceedings paper |
|---|---|
| Title: | Using Human Raters to Characterize the Psychological Characteristics of GPS-based Places |
| Event: | UbiComp '17 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UBICOMP) / ACM International Symposium on Wearable Computers (ISWC) |
| Location: | Maui, HI |
| Dates: | 11 September 2017 - 15 September 2017 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3123024.3123135 |
| Publisher version: | https://doi.org/10.1145/3123024.3123135 |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Cybernetics, Telecommunications, Computer Science, Mobile sensing, Mobility, GPS location, Affective place associations, Personality traits |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10051297 |
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