Touche: Data-Driven Interactive Sword Fighting in Virtual Reality

被引:7
|
作者
Dehesa, Javier [1 ]
Vidler, Andrew [2 ]
Lutteroth, Christof [1 ]
Padget, Julian [1 ]
机构
[1] Univ Bath, Bath, Avon, England
[2] Ninja Theory Ltd, Cambridge, England
来源
PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20) | 2020年
基金
英国工程与自然科学研究理事会;
关键词
virtual reality; sword fighting; machine learning; animation; gesture recognition; CONTINUOUS GESTURE RECOGNITION; SYSTEM; COGNITION;
D O I
10.1145/3313831.3376714
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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 handcrafted interaction logic, while supporting a controllable and understandable behaviour design.
引用
收藏
页数:14
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