VitalStep: Revitalizing Elderly Health and Connectivity with E-Square-Dance
Authors: 
Jun Huang, Qianwen Tan, Qi FangAuthors Info & Claims
Article No.: 629, Pages 1 - 7
Abstract
In response to the challenges faced by China’s aging population, including mobility restrictions, health concerns, and social isolation, calls for innovative approaches to enhance their physical and mental well-being. Square dancing, or ’Guangchang Wu’, is a communal activity where Chinese elderly gather in public spaces to dance together, combining exercise with social engagement. We developed VitalStep, an online co-dancing app tailored for people aged 45-70 to participate in square dancing virtually. Through collaboration with square dance communities, we ensured our app met the needs and preferences of its target users. Early findings suggest that the app successfully motivates seniors to be more physically active and socially engaged. Our project aligns with the United Nations Sustainable Development Goals 3 (Good Health and Well-Being) and 11 (Sustainable Cities and Communities), demonstrating the potential of technology in fostering healthier, more inclusive urban environments for the middle-aged and elderly.
Supplemental Material
- Download
- 123.00 MB
- Transcript
- Download
- 109.72 MB
- Transcript
- Download
- 4.53 MB
- Transcript
References
[1]
Marybeth Brown, David R Sinacore, Ali A Ehsani, Ellen F Binder, John O Holloszy, and Wendy M Kohrt. 2000. Low-intensity exercise as a modifier of physical frailty in older adults. Archives of physical medicine and rehabilitation 81, 7 (2000), 960–965. https://doi.org/10.1053/apmr.2000.4425
[2]
Ying-Yu Chao, Yvonne K Scherer, and Carolyn A Montgomery. 2015. Effects of using Nintendo Wii™ exergames in older adults: a review of the literature. Journal of aging and health 27, 3 (2015), 379–402. https://doi.org/10.1177/0898264314551171
[3]
J Dang. 2018. Survey Report on the Living Conditions of the Elderly in Urban and Rural Areas of China. Social Sciences Literature Press: Beijing, China (2018).
[4]
Susan M Ferreira, Sergio Sayago, and Josep Blat. 2017. Older people’s production and appropriation of digital videos: an ethnographic study. Behaviour & Information Technology 36, 6 (2017), 557–574. https://doi.org/10.1080/0144929X.2016.1265150
[5]
Shubham Garg, Aman Saxena, and Richa Gupta. 2022. Yoga pose classification: a CNN and MediaPipe inspired deep learning approach for real-world application. Journal of Ambient Intelligence and Humanized Computing (2022), 1–12. https://doi.org/10.1007/s12652-022-03910-0
[6]
Kathrin Gerling, Mo Ray, Vero Vanden Abeele, and Adam B. Evans. 2020. Critical Reflections on Technology to Support Physical Activity among Older Adults: An Exploration of Leading HCI Venues. ACM Trans. Access. Comput. 13, 1, Article 1 (apr 2020), 23 pages. https://doi.org/10.1145/3374660
[7]
Dongfeng Gu, Kristi Reynolds, Xigui Wu, Jing Chen, Xiufang Duan, Paul Muntner, Guanyong Huang, Robert F Reynolds, Shaoyong Su, Paul K Whelton, 2002. Prevalence, awareness, treatment, and control of hypertension in China. Hypertension 40, 6 (2002), 920–927. https://doi.org/10.1161/01.HYP.0000040263.94619.D5
[8]
Jonathan Lazar, Jinjuan Heidi Feng, and Harry Hochheiser. 2017. Research methods in human-computer interaction. Morgan Kaufmann. 317–320 pages. Section11.4.3.2 Reliability.
[9]
Xiaoyan Lei, John Strauss, Meng Tian, and Yaohui Zhao. 2015. Living arrangements of the elderly in China: Evidence from the CHARLS national baseline. China economic journal 8, 3 (2015), 191–214. https://doi.org/10.1080/17538963.2015.1102473
[10]
Stephen Lindsay, Daniel Jackson, Guy Schofield, and Patrick Olivier. 2012. Engaging older people using participatory design. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Austin, Texas, USA) (CHI ’12). Association for Computing Machinery, New York, NY, USA, 1199–1208. https://doi.org/10.1145/2207676.2208570
[11]
Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Guang Yong, Juhyun Lee, 2019. Mediapipe: A framework for building perception pipelines. arXiv preprint arXiv:1906.08172 (2019). https://doi.org/arXiv:1906.08172
[12]
Donald A. Norman and Stephen W. Draper. 1986. User Centered System Design; New Perspectives on Human-Computer Interaction. L. Erlbaum Associates Inc., USA.
[13]
Pavitra Paul, Mihran Hakobyan, and Hannu Valtonen. 2016. The association between self-perceived health status and satisfaction with healthcare services: Evidence from Armenia. BMC health services research 16 (2016), 1–13. https://doi.org/10.1186/s12913-016-1309-6
[14]
James P Smith, John Strauss, and Yaohui Zhao. 2014. Healthy aging in China. The journal of the economics of ageing 4 (2014), 37–43. https://doi.org/10.1016/j.jeoa.2014.08.006
[15]
Tencent ISUX. 2023. Exploration of Digital Entertainment Experience Design for the Older Age Group. https://topd.tencent.com/detail/449806. Accessed: 2023-12-27.
[16]
Yin-Leng Theng, Puay Hoe Chua, and Tan Phat Pham. 2012. Wii as entertainment and socialisation aids for mental and social health of the elderly. In CHI ’12 Extended Abstracts on Human Factors in Computing Systems (Austin, Texas, USA) (CHI EA ’12). Association for Computing Machinery, New York, NY, USA, 691–702. https://doi.org/10.1145/2212776.2212840
[17]
Nick Townsend, Kremlin Wickramasinghe, Julianne Williams, Prachi Bhatnagar, and Mike Rayner. 2015. Physical activity statistics 2015. (2015).
[18]
United Nations Department of Economic and Social Affairs, Population Division. 2019. World Population Prospects 2019. https://population.un.org/wpp/. Accessed: 2023-12-15.
[19]
Jenny Waycott, Frank Vetere, Sonja Pedell, Lars Kulik, Elizabeth Ozanne, Alan Gruner, and John Downs. 2013. Older adults as digital content producers. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13). Association for Computing Machinery, New York, NY, USA, 39–48. https://doi.org/10.1145/2470654.2470662
[20]
Wei Zhao, Ryan M. Kelly, Melissa J. Rogerson, and Jenny Waycott. 2023. Older Adults Using Technology for Meaningful Activities During COVID-19: An Analysis Through the Lens of Self-Determination Theory. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 332, 17 pages. https://doi.org/10.1145/3544548.3580839
Index Terms
- VitalStep: Revitalizing Elderly Health and Connectivity with E-Square-Dance
Recommendations
Understanding Older Adults' Participation in Online Social Activities: Lessons from the COVID-19 Pandemic
CSCWRestrictions arising from the COVID-19 pandemic have limited opportunities for older people to participate in face-to-face organised social activities. Many organisations moved these activities online, but little is known about older adults' experiences ...
Embodied Interaction Design to Promote Creative Social Engagement for Older Adults
Human Aspects of IT for the Aged Population. Technologies, Design and User ExperienceAbstractThis paper presents an embodied interactive system designed for older adults to promote creative and social engagement, called Move and Paint. We performed a study to investigate the engagement and behavior patterns of older adults as they used ...
Proactive TV Gamification: Engaging Older Adults Socially
Design, User Experience, and UsabilityAbstractThis study explores the capabilities of television as a tool to promote social relationships among older adults, considering that these relationships are vital for an active and healthy ageing process. Physical changes, encompassing sensory and ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
May 2024
4761 pages
ISBN:9798400703317
DOI:10.1145/3613905
Copyright © 2024 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 11 May 2024
Check for updates
Author Tags
Qualifiers
- Extended-abstract
- Research
- Refereed limited
Funding Sources
- Special Funds for the Cultivation of Guangdong College Students' Scientific and Technological Innovation
- Special Funds for the Cultivation of Guangdong College Students' Scientific and Technological Innovation ðððððððððððððððð
Conference
Acceptance Rates
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%
Upcoming Conference
CHI 2025
- Sponsor:
- sigchi
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 236Total Downloads
- Downloads (Last 12 months)236
- Downloads (Last 6 weeks)37
Reflects downloads up to 12 Dec 2024
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderFull Text
View this article in Full Text.
Full TextHTML Format
View this article in HTML Format.
HTML Format