Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/105017
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Title: A human-machine interaction solution for household medical furniture design
Authors: Li, Y
Luo, J
Jing, Q
Luximon, Y 
Issue Date: 2021
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2021, v. 12787, p. 260-276
Abstract: In the current situation of covid-19 pandemic, the supply and demand relationship of medical resources in various hospitals is unstable. However, people's needs for understanding their health status are increasing. The purpose of this project is to assist telemedicine so that people can check their health at home. So, we proposed a civilian medical furniture solution. In the solution, we took the chair design as an example. First, we found out the user’s needs and pain points via observation and interview. Based on this, we analyzed the characteristics of chair design and developed a prototype using a flexible contact sensor technology. In a follow-up evaluation experiment, we also added the details of the product according to ergonomic design principles of sitting posture. Moreover, after obtaining the heath data of users, we improved the product quality by visualizing the data. Finally, we tested the interactive effects of data visualization and then received positive feedback from users. The results of this project could help the design and development of civilian medical furniture.
Keywords: Flexible bionic tactile sensing technology
Health
Human-machine interaction
Medical furniture
Visualization
Publisher: Springer
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
ISBN: 978-3-030-78110-1 (Softcover)
978-3-030-78111-8 (eBook)
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-030-78111-8_18
Description: 7th International Conference, ITAP 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Virtual Event, July 24–29, 2021
Rights: © Springer Nature Switzerland AG 2021
This version of the proceeding paper has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-78111-8_18.
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