Abstract
VR games offer new freedom for players to interact naturally using motion. This makes it harder to design games that react to player motions convincingly. We present a framework for VR sword fighting experiences against a virtual character that simplifies the necessary technical work to achieve a convincing simulation. The framework facilitates VR design by abstracting from difficult details on the lower “physical” level of interaction, using data-driven models to automate both the identification of user actions and the synthesis of character animations. Designers are able to specify the character's behaviour on a higher “semantic” level using parameterised building blocks, which allow for control over the experience while minimising manual development work. We conducted a technical evaluation, a questionnaire study and an interactive user study. Our results suggest that the framework produces more realistic and engaging interactions than simple hand-crafted interaction logic, while supporting a controllable and understandable behaviour design.
Original language | English |
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Title of host publication | CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
Place of Publication | New York, USA |
Publisher | Association for Computing Machinery |
Pages | 1-14 |
Number of pages | 14 |
Volume | 2020-April |
ISBN (Electronic) | 9781450367080 |
DOIs | |
Publication status | Published - 21 Apr 2020 |
Event | ACM Conference on Human Factors in Computing Systems 2020 (CHI 2020) - Hawaii Convention Center, Honolulu, USA United States Duration: 25 Apr 2020 → 30 Apr 2020 Conference number: 2020 https://chi2020.acm.org/ |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | ACM Conference on Human Factors in Computing Systems 2020 (CHI 2020) |
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Abbreviated title | CHI |
Country/Territory | USA United States |
City | Honolulu |
Period | 25/04/20 → 30/04/20 |
Internet address |
Keywords
- virtual reality
- sword fighting
- machine learning
- animation
- gesture recognition
ASJC Scopus subject areas
- Human-Computer Interaction
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Datasets
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Dataset for "Touché: Data-Driven Interactive Sword Fighting in Virtual Reality"
Dehesa, J. (Creator), Vidler, A. (Supervisor), Lutteroth, C. (Supervisor) & Padget, J. (Supervisor), University of Bath, 6 Jan 2020
DOI: 10.15125/BATH-00754
Dataset