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Title:Insights on an automated fall detection device designed for older adult wheelchair and scooter users: a qualitative study
Author(s):Fliflet, Alexander Michael
Advisor(s):Rice, Laura A
Contributor(s):Rogers, Wendy A
Department / Program:Kinesiology & Community Health
Discipline:Kinesiology
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:M.S.
Genre:Thesis
Subject(s):fall detection device
assistive technology
wheelchair user
qualitative
Abstract:This study examined the desired specifications, perceived ease of use and perceived usefulness of a fall detection device (FDD) among 15 older adults who use wheelchairs and scooters through remote semi-structured interviews. Participants (mean age: 67.5  4.7 years) lived with a variety of disabilities including multiple sclerosis, cerebral palsy, spinal cord injury, stroke, osteoarthritis and spina bifida. Participants were asked about certain design features of a potential FDD. The interview examined features such as charging specifications, device use, who will be notified when a fall occurs (notification settings), the functionality of the sensor, and what instructions are provided on how to use the FDD. Participants were also asked to provide feedback on the form of the device, such as a watch, necklace (pendant), pin, or another form of their preference. Additionally, researchers examined the challenges participants had with their current technology (such as difficulty don/doffing wearable technology, charging the device, etc.). Participant responses were analyzed through thematic analysis and reported upon categories of device features, perceived ease of use, and perceived usefulness. Results indicated that participants prefer a wireless charger, watch model, and the option to toggle between which contacts are notified in the events of a fall. Participants identified challenges in charging devices due to limited fine motor skills and the difficulties of plugging in a wired charger. Participants preferred a watch model as it may not draw attention and go unnoticed as an FDD. Participants wanted to be able to change who is notified in the event of a fall, depending on the availability of the contact. Overall, participants believed an automated FDD would be useful and easy to use. Participants’ insights will inform the design of an FDD to increase usability and prevent technology abandonment. Future research should focus on user system usability to determine the effectiveness and benefits of an automated FDD.
Issue Date:2021-04-23
Type:Thesis
URI:http://hdl.handle.net/2142/110507
Rights Information:Copyright 2021 Alexander Fliflet
Date Available in IDEALS:2021-09-17
Date Deposited:2021-05


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