Evidence map›Paper›PMID 32985999›Full record

Trial reportJMIR mHealth and uHealth2020

Design and Usability Evaluation of Mobile Voice-Added Food Reporting for Elderly People: Randomized Controlled Trial.

Ying-Chieh Liu, Chien-Hung Chen, Yu-Sheng Lin, Hsin-Yun Chen, Denisa Irianti, Ting-Ni Jen, Jou-Yin Yeh, Sherry Yueh-Hsia Chiu

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
13.7field-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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 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

8 authors at 3 institutions in 1 country.

Ying-Chieh LiuDepartment of Industrial Design, College of Management, Chang Gung University, Taoyuan City, Taiwan.ORCID 0000-0003-1876-7632
Chien-Hung ChenCybersecurity Technology Institute, Institute for Information Industry, Taipei, Taiwan.ORCID 0000-0002-7087-733X
Yu-Sheng LinDepartment of Internal Medicine, Health Promotion Center, Chang Gung Memorial Hospital, Taoyuan, Taiwan.ORCID 0000-0002-7654-6558
Hsin-Yun ChenDepartment of Nutrition Therapy, Chang Gung Memorial Hospital, Taoyuan, Taiwan.ORCID 0000-0002-5256-4559
Denisa IriantiDepartment of Industrial Design, College of Management, Chang Gung University, Taoyuan City, Taiwan.ORCID 0000-0002-2272-9666
Ting-Ni JenDepartment of Chemical and Materials Engineering, College of Engineering, Chang Gung University, Taoyuan, Taiwan.ORCID 0000-0003-1445-2377
Jou-Yin YehDepartment of Health Care Management, College of Management, Chang Gung University, Taoyuan, Taiwan.ORCID 0000-0002-5403-6362
Sherry Yueh-Hsia ChiuDepartment of Health Care Management and Healthy Aging Research Center, College of Management, Chang Gung University, Taoyuan, Taiwan.ORCID 0000-0002-7207-7088
Chang Gung University · TWChang Gung Memorial Hospital · TWInstitute for Information Industry · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in voice technology have raised new possibilities for apps related to daily health maintenance. However, the usability of such technologies for older users remains unclear and requires further investigation.

objectiveWe designed and evaluated two innovative mobile voice-added apps for food intake reporting, namely voice-only reporting (VOR) and voice-button reporting (VBR). Each app features a unique interactive procedure for reporting food intake. With VOR, users verbally report the main contents of each dish, while VBR provides both voice and existing touch screen inputs for food intake reporting. The relative usability of the two apps was assessed through the metrics of accuracy, efficiency, and user perception.

methodsThe two mobile apps were compared in a head-to-head parallel randomized trial evaluation. A group of 57 adults aged 60-90 years (12 male and 45 female participants) was recruited from a retirement community and randomized into two experimental groups, that is, VOR (n=30) and VBR (n=27) groups. Both groups were tested using the same set of 17 food items including dishes and beverages selected and allocated to present distinct breakfast, lunch, and dinner meals. All participants used a 7-inch tablet computer for the test. The resulting data were analyzed to evaluate reporting accuracy and time efficiency, and the system usability scale (SUS) was used to measure user perception.

resultsFor eight error types identified in the experiment, the VBR group participants were significantly (P<.001) more error prone owing to the required use of button-tapping actions. The highest error rates in the VOR group were related to incomprehensible reporting speech (28/420, 6.7%), while the highest error rates in the VBR group were related to failure to make required button taps (39/378, 10.3%). The VOR group required significantly (P<.001) less time to complete food reporting. The overall subjective reactions of the two groups based on the SUS surpassed the benchmark and were not significantly different (P=.20).

conclusionsExperimental results showed that VOR outperformed VBR, suggesting that voice-only food input reporting is preferable for elderly users. Voice-added apps offer a potential mechanism for the self-management of dietary intake by elderly users. Our study contributes an evidence-based evaluation of prototype design and selection under a user-centered design model. The results provide a useful reference for selecting optimal user interaction design.

trial registrationInternational Standard Randomized Controlled Trial Registry ISRCTN17335889; http://www.isrctn.com/ISRCTN17335889.

Indexed as

Mobile ApplicationsAgedAged, 80 and overEatingFemaleHumansMaleMiddle Agedautomatic speech recognitionelderlyfood reportmHealthrandomized trialusability evaluationvoice-added design

Identifiers

PMID32985999
PMCPMC7551114
OpenAlexW3088002417

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.