WAVE : Anticipatory Movement Visualization for VR Dancing

Markus Laattala, Roosa Piitulainen, Nadia Ady, Monica Tamariz, Perttu Hämäläinen

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

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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.
Original languageEnglish
Title of host publicationCHI '24: Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems
EditorsFlorian Floyd Mueller, Penny Kyburz, Julie R. Williamson, Corina Sas, Max L. Wilson, Phoebe Toups Dugas, Irina Shklovski
ISBN (Electronic)979-8-4007-0330-0
Publication statusPublished - 11 May 2024
MoE publication typeA4 Conference publication
EventACM SIGCHI Annual Conference on Human Factors in Computing Systems - Honolulu, USA, Honolulu, United States
Duration: 11 May 202416 May 2024


ConferenceACM SIGCHI Annual Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI
Country/TerritoryUnited States
Internet address


  • dance game
  • dance instruction
  • VR


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    Hämäläinen, P.


    Project: EU: Framework programmes funding

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