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The science and detection of tilting

The science and detection of tilting
The science and detection of tilting

Tilting refers to losing control due to negative emotions, behaving erratically, and thereby suffering adverse con- sequences. The term tilt originated in poker playing communities, where it is often a consequence of so called bad beats, i.e. losing with an unlikely-to-lose poker hand. Often resulting in devastating monetary losses, tilting is ubiquitous and well known in poker, but rarely studied despite its significance. In this paper, we argue that tilting is a fertile topic for interdisciplinary research both for psychologists and computer scientists. Specifically, we propose to study the manifestation of tilting via facial emotion expressions, and motivate the development of an automatic tilt-detection system. The scientific understanding of the psychology of tilting can be increased via a computing approach, which has not been previously attempted. Automatic tilting detection will lead to a practical technology that reduces poker players' monetary losses and improves their well being through reduced tilting. We also argue that while tilting is best known as a poker phenomenon, it also exists in other contexts. Thus, the idea we suggest is a novel application of computer vision, affective computing and multimedia technologies in the real world, across many domains.

Affective computing, Facial expression, Poker, Tilting
79-86
Association for Computing Machinery
Wei, Xingjie
dfc66874-e1b1-4898-bf19-3c4cb9d639ae
Palomäki, Jussi
255358f0-7a18-4d5d-8fc5-e13f4cf62b30
Yan, Jeff
a2c03187-3722-46c8-b73b-439eb9d1a10e
Robinson, Peter
705fb6ca-9923-41e2-89d4-96dc5e9ea0cb
Wei, Xingjie
dfc66874-e1b1-4898-bf19-3c4cb9d639ae
Palomäki, Jussi
255358f0-7a18-4d5d-8fc5-e13f4cf62b30
Yan, Jeff
a2c03187-3722-46c8-b73b-439eb9d1a10e
Robinson, Peter
705fb6ca-9923-41e2-89d4-96dc5e9ea0cb

Wei, Xingjie, Palomäki, Jussi, Yan, Jeff and Robinson, Peter (2016) The science and detection of tilting. In ICMR 2016 - Proceedings of the 2016 ACM International Conference on Multimedia Retrieval. Association for Computing Machinery. pp. 79-86 . (doi:10.1145/2911996.2912019).

Record type: Conference or Workshop Item (Paper)

Abstract

Tilting refers to losing control due to negative emotions, behaving erratically, and thereby suffering adverse con- sequences. The term tilt originated in poker playing communities, where it is often a consequence of so called bad beats, i.e. losing with an unlikely-to-lose poker hand. Often resulting in devastating monetary losses, tilting is ubiquitous and well known in poker, but rarely studied despite its significance. In this paper, we argue that tilting is a fertile topic for interdisciplinary research both for psychologists and computer scientists. Specifically, we propose to study the manifestation of tilting via facial emotion expressions, and motivate the development of an automatic tilt-detection system. The scientific understanding of the psychology of tilting can be increased via a computing approach, which has not been previously attempted. Automatic tilting detection will lead to a practical technology that reduces poker players' monetary losses and improves their well being through reduced tilting. We also argue that while tilting is best known as a poker phenomenon, it also exists in other contexts. Thus, the idea we suggest is a novel application of computer vision, affective computing and multimedia technologies in the real world, across many domains.

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More information

Published date: 6 June 2016
Additional Information: Publisher Copyright: © 2016 ACM.
Venue - Dates: 6th ACM International Conference on Multimedia Retrieval, ICMR 2016, , New York, United States, 2016-06-06 - 2016-06-09
Keywords: Affective computing, Facial expression, Poker, Tilting

Identifiers

Local EPrints ID: 500866
URI: http://eprints.soton.ac.uk/id/eprint/500866
PURE UUID: e7247bf6-b84f-4c1f-aa81-7770c7a63966

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Date deposited: 14 May 2025 16:51
Last modified: 14 May 2025 16:51

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Contributors

Author: Xingjie Wei
Author: Jussi Palomäki
Author: Jeff Yan
Author: Peter Robinson

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