The science and detection of tilting

Xingjie Wei, Jussi Palomäki, Jeff Yan, Peter Robinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationICMR 2016 - Proceedings of the 2016 ACM International Conference on Multimedia Retrieval
Pages79-86
Number of pages8
ISBN (Electronic)9781450343596
DOIs
Publication statusPublished - 6 Jun 2016
Event6th ACM International Conference on Multimedia Retrieval, ICMR 2016 - New York, United States
Duration: 6 Jun 20169 Jun 2016

Publication series

NameICMR 2016 - Proceedings of the 2016 ACM International Conference on Multimedia Retrieval

Conference

Conference6th ACM International Conference on Multimedia Retrieval, ICMR 2016
Country/TerritoryUnited States
CityNew York
Period6/06/169/06/16

Keywords

  • affective computing
  • facial expression
  • poker
  • tilting
  • negative emotions

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