Evidence map›Paper›PMID 27293489›Full record

ArticleEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2016

Exploring user experience and technology acceptance for a fall prevention system: results from a randomized clinical trial and a living lab.

Daryoush D Vaziri, Konstantin Aal, Corinna Ogonowski, Thomas Von Rekowski, Michael Kroll, Hannah R Marston, Rakel Poveda, Yves J Gschwind, Kim Delbaere, Rainer Wieching and 1 more

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In one paragraph

Article in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 4 pooled it
33.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 4 syntheses or guidelines pooled it, 103 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 4 institutions in 3 countries.

Daryoush D VaziriInstitute for Information Systems, University of Siegen, Kohlbettstr. 15, 57072 Siegen, Germany.
Konstantin AalInstitute for Information Systems, University of Siegen, Kohlbettstr. 15, 57072 Siegen, Germany.
Corinna OgonowskiInstitute for Information Systems, University of Siegen, Kohlbettstr. 15, 57072 Siegen, Germany.
Thomas Von RekowskiInstitute for Information Systems, University of Siegen, Kohlbettstr. 15, 57072 Siegen, Germany.
Michael KrollInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, 50933 Cologne, Germany.
Hannah R MarstonInstitute of Movement and Sport Gerontology, German Sport University Cologne, Am Sportpark Muengersdorf 6, 50933 Cologne, Germany.
Rakel PovedaInstitute of Biomechanics of Valencia, University Polytechnic of Valencia, Edificio 9C Camino de Vera s/n, 46022 Valencia, Spain.
Yves J GschwindNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, 2031 New South Wales, Australia.
Kim DelbaereNeuroscience Research Australia, University of New South Wales, Barker Street, Randwick, Sydney, 2031 New South Wales, Australia.
Rainer WiechingInstitute for Information Systems, University of Siegen, Kohlbettstr. 15, 57072 Siegen, Germany.
Volker WulfInstitute for Information Systems, University of Siegen, Kohlbettstr. 15, 57072 Siegen, Germany.
University of Siegen · DEGerman Sport University Cologne · DEUNSW Sydney · AUBiomechanics Institute of Valencia · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFalls are common in older adults and can result in serious injuries. Due to demographic changes, falls and related healthcare costs are likely to increase over the next years. Participation and motivation of older adults in fall prevention measures remain a challenge. The iStoppFalls project developed an information and communication technology (ICT)-based system for older adults to use at home in order to reduce common fall risk factors such as impaired balance and muscle weakness. The system aims at increasing older adults' motivation to participate in ICT-based fall prevention measures. This article reports on usability, user-experience and user-acceptance aspects affecting the use of the iStoppFalls system by older adults.

methodsIn the course of a 16-week international multicenter study, 153 community-dwelling older adults aged 65+ participated in the iStoppFalls randomized controlled trial, of which half used the system in their home to exercise and assess their risk of falling. During the study, 60 participants completed questionnaires regarding the usability, user experience and user acceptance of the iStoppFalls system. Usability was measured with the System Usability Scale (SUS). For user experience the Physical Activity Enjoyment Scale (PACES) was applied. User acceptance was assessed with the Dynamic Acceptance Model for the Re-evaluation of Technologies (DART). To collect more detailed data on usability, user experience and user acceptance, additional qualitative interviews and observations were conducted with participants.

resultsParticipants evaluated the usability of the system with an overall score of 62 (Standard Deviation, SD 15.58) out of 100, which suggests good usability. Most users enjoyed the iStoppFalls games and assessments, as shown by the overall PACES score of 31 (SD 8.03). With a score of 0.87 (SD 0.26), user acceptance results showed that participants accepted the iStoppFalls system for use in their own home. Interview data suggested that certain factors such as motivation, complexity or graphical design were different for gender and age.

conclusionsThe results suggest that the iStoppFalls system has good usability, user experience and user acceptance. It will be important to take these along with factors such as motivation, gender and age into consideration when designing and further developing ICT-based fall prevention systems.

Indexed as

ExergamesFall preventionGame designOlder adultsTechnology acceptanceUsabilityUser experience

Identifiers

PMID27293489
PMCPMC4902990
OpenAlexW2416484848

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.