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Cited by 11Technology Use by Older AdultsContext-Aware Activity Recognition SystemsAssistive Technology in Communication and Mobility

Detecting fall at home: User-centered design of a pervasive technology

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Bobillier Chaumon, Marc-Eric, Cuvillier, Bruno, Body, Salima, Cros, Florence·2016·Human Technology
DOI 10.17011/ht/urn.201611174654
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Abstract

Falling is the main cause of domestic accidents and fatal injuries to seniors at home.In this paper, we describe the design process for a new pervasive technology (CIRDO).The aim of this technology is to detect falls (via audio and video sensors) and to alert the elderly's family or caregivers.Two complementary studies were performed.Firstly, the actual risk situations of older adults were analyzed.Secondly, social acceptance was investigated for the different homecare field stakeholders.Our results highlight the tensions among social actors towards the tool and their impacts on technology acceptance by the elderly.Also, we show a significant change in the fall process due to the device.In actuality, the social functions associated with CIRDO implementation and the necessity of iterative design processes suggest that the CIRDO system should be more flexible and versatile to better fit the risk behaviors of seniors that evolve using this device.

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  • Emergency situations occur often in the living room, where older adults spend a great part of their time.

    “Indeed, emergency situations occur often in the living room (Bobillier-Chaumon et al., 2016; RoSPA, 2016) where older adults spend a great part of their time.”

    From Making Emergency Calls More Accessible to Older Adults Through a Hands-free Speech Interface in the House (2019) · cites this paper as Bobillier-Chaumon et al., 2016

    In “The Characterization of Falling Profiles” (page unavailable), the paper reports that falls occurred most often in the living room (13 of 28) and that many activities take place there. It does not establish how much time older adults spend there, and its location finding concerns falls rather than emergency situations generally. (LLM, conf=0.82)

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Research works printed but not linked: 35

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Authors
Bobillier Chaumon, M.-E., Cuvillier, B., Body, S., & Cros, F.
Affiliations
Université de Lyon (FR)
ORCID
Venue
Human Technology
Publisher
Centre of Sociological Research, NGO
Published
2016-11-30
Volume
12
Issue
2
Pages
165-192
ISSN
1795-6889 (ISSN-L)
DOI
10.17011/ht/urn.201611174654
OpenAlex
W4322387858
Cited by
11
References
0
Citations by year
2026: 1 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 2 · 2019: 1
FWCI
0.82
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Human Technology (publishedVersion, cc-by-nc)
  • HAL (submittedVersion, other-oa)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Demography › Technology Use by Older Adults
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
Keywords
fall detection, home-based elderly care, pervasive technologies, user-centered design, technology acceptance, social acceptance

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