WAVE: Anticipatory Movement Visualization for VR Dancing

被引:1
作者
Laattala, Markus [1 ]
Piitulainen, Roosa [2 ]
Ady, Nadia M. [3 ]
Tamariz, Monica [4 ,5 ]
Hamalainen, Perttu [1 ]
机构
[1] Aalto Univ, Espoo, Finland
[2] IT Univ Copenhagen, Copenhagen, Denmark
[3] Aalto Univ, Helsinki Inst Informat Technol, Espoo, Finland
[4] Edinburgh Napier Univ, Edinburgh, Midlothian, Scotland
[5] Heriot Watt Univ, Edinburgh, Midlothian, Scotland
来源
PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2024 | 2024年
基金
欧盟地平线“2020”;
关键词
VR; dance instruction; dance game;
D O I
10.1145/3613904.3642145
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Dance games are one of the most popular game genres in Virtual Reality (VR), and active dance communities have emerged on social VR platforms such as VR Chat. However, effective instruction of dancing in VR or through other computerized means remains an unsolved human-computer interaction problem. Existing approaches either only instruct movements partially, abstracting away nuances, or require learning and memorizing symbolic notation. In contrast, we investigate how realistic, full-body movements designed by a professional choreographer can be instructed on the fly, without prior learning or memorization. Towards this end, we describe the design and evaluation of WAVE, a novel anticipatory movement visualization technique where the user joins a group of dancers performing the choreography with different time offsets, similar to spectators making waves in sports events. In our user study (N=36), the participants more accurately followed a choreography using WAVE, compared to following a single model dancer.
引用
收藏
页数:9
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