{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T22:42:26Z","timestamp":1726440146958},"reference-count":25,"publisher":"Association for Computing Machinery (ACM)","issue":"2","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Comput. Graph. Interact. Tech."],"published-print":{"date-parts":[[2023,8,12]]},"abstract":"Wheelchair dance is an important form of disability art that is still subject to significant levels of ableism and art exclusion. Wheelchair dancers face challenges finding teachers and choreographers who can accommodate their needs, documenting and sharing choreographies that suit their body shapes and their assistive technologies. In turn, this hinders their ability to share creative expressions. Accessible resources and communication tools could help address these challenges. The goal of this research is the development of a visualization system grounded on Laban Movement Analysis (LMA) that notates movement quality while opening new horizons on perceptions of disabled bodies and the artistic legitimacy of wheelchair dance. The system uses video to identify the body landmarks of the dancer and wheelchair and extracts key features to create visualizations of expressive qualities from LMA basic effort. The current evaluation includes a pilot study with the general public and an online questionnaire targeting professionals to gain feedback supporting practical implementation and real-world deployment. Results from the general public evaluation showed that the visualization was effective in conveying basic effort movement qualities even to a novice audience. Expert consulted via questionnaire stated that the tool could be employed for reflective evaluation, as well as performance augmentation. The LMA visualization tool can support the artistic legitimization of wheelchair dancing through education, communication, performance, and documentation.<\/jats:p>","DOI":"10.1145\/3597628","type":"journal-article","created":{"date-parts":[[2023,8,16]],"date-time":"2023-08-16T18:31:43Z","timestamp":1692210703000},"page":"1-12","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Movement Quality Visualization for Wheelchair Dance"],"prefix":"10.1145","volume":"6","author":[{"ORCID":"http:\/\/orcid.org\/0000-0001-6461-9820","authenticated-orcid":false,"given":"Yurui","family":"Xie","sequence":"first","affiliation":[{"name":"Keio University Graduate School of Media Design, Keio University, Hiyoshi Kohoku-ku, Yokohama-city Kanagawa, Japan, Yokohama, Japan"}]},{"ORCID":"http:\/\/orcid.org\/0000-0001-9036-3566","authenticated-orcid":false,"given":"Giulia","family":"Barbareschi","sequence":"additional","affiliation":[{"name":"Keio University Graduate School of Media Design, Keio University, Hiyoshi Kohoku-ku, Yokohama-city Kanagawa, Japan, Yokohama, Japan"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3178-1634","authenticated-orcid":false,"given":"Ayesha","family":"Nabila","sequence":"additional","affiliation":[{"name":"Keio University Graduate School of Media Design, Keio University, Hiyoshi Kohoku-ku, Yokohama-city Kanagawa, Japan, Yokohama, Japan"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2294-3774","authenticated-orcid":false,"given":"Kai","family":"Kunze","sequence":"additional","affiliation":[{"name":"Keio University Graduate School of Media Design, Keio University, Hiyoshi Kohoku-ku, Yokohama-city Kanagawa, Japan, Yokohama, Japan"}]},{"ORCID":"http:\/\/orcid.org\/0000-0003-2959-0705","authenticated-orcid":false,"given":"Masa","family":"Inakage","sequence":"additional","affiliation":[{"name":"Keio University Graduate School of Media Design, Keio University, Hiyoshi Kohoku-ku, Yokohama-city Kanagawa, Japan, Yokohama, Japan"}]}],"member":"320","published-online":{"date-parts":[[2023,8,16]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. 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