Design and Usability Evaluation of Mobile Voice-Added Food Reporting for Elderly People: Randomized Controlled Trial
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Abstract
Background: Advances 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. Objective: We 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. Methods: The 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. Results: For 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). Conclusions: Experimental 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 Registration: International Standard Randomized Controlled Trial Registry ISRCTN17335889; http://www.isrctn.com/ISRCTN17335889.
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Older adults prefer voice interfaces over text-based ones.
“highlighting their preference for voice interfaces over text-based ones [30, 34, 61].”
From Situated Understanding of Errors in Older Adults' Interactions with Voice Assistants: A Month-Long, In-Home Study (2026) · cites this paper as [34]
The Abstract Conclusions say the voice-only food-reporting app outperformed the voice-button app, suggesting it was preferable for elderly users. But the comparison was not with a text-based interface, and the Results section reports no significant difference in overall usability ratings between the two apps. The paper therefore does not establish the stated preference for voice over text. (LLM, conf=0.88)
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Usability evaluation of mHealth Apps for the elderly: A scoping review (Preprint)Preprint
Wang, Q., Liu, J., Chen, X., Zhang, W., Tian, J., Wang, H., Zhou, W., Gao, Y., & Zhou, L. (2021) · doi:10.2196/preprints.34557
Förster, M., Happe, L., Quinten, V., & Diekmann, R. (2026) · BMC Geriatrics · doi:10.1186/s12877-025-06950-1 · Cited by 1 · see citing works
“The vast majority of technologies developed for older adults are mobile applications for smart-phones or tablets that support for example, the regular intake of medication [13, 14] or the self-monitoring of nutrition [15, 16].”
Zhou, C., & Zhao, H. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2508306 · Cited by 1 · see citing works
“…of VUI use (Nguyen et al., 2019; Poushneh, 2021); the exploration of the behavior, attitude, and experience of the elderly using VUIs (Kim, 2021; Liu et al., 2020; Pradhan et al., 2020) and the usability and user experience analysis of digital devices based on VUIs (Du et al., 2018; Guerino &…”
Orban, F., Journeaux, A., Kanehl, P., Stoll, M., Lehmann, M., Schirmann, F., Herzig, D., & Bally, L. (2026) · JMIR Formative Research · doi:10.2196/81112
“…such as the use of computer vision and depth-sensing technologies for quantitative nutrient analysis, enabling 3D reconstruction of food portions (rather than relying on standard serving size assumptions) [38], as well as mobile voice-added apps for food intake reporting [39], are promising.”
Foerster, M., Timper, M., Puhlemann, R., Quinten, V., & Diekmann, R. (2026) · JMIR Formative Research · doi:10.2196/89681
“In addition, the cognitive load can be very high for older adults, as they have to keep several navigation steps in mind to make entries in the diary [12,13].”
ВИКЛИКИ ЩОДО ВПРОВАДЖЕННЯ ШТУЧНОГО ІНТЕЛЕКТУ В СИСТЕМІ ОХОРОНИ ЗДОРОВ’Я
Панченко, О. А., & Оніщенко, В. О. (2026) · Medical Informatics and Engineering · doi:10.11603/mie.1996-1960.2025.1-2.16051
Khandpekar, S. G., Singh, R., Summerour, C. E., Schwoebel, J., Liang, X., & Batsis, J. (2025) · Digital Health · doi:10.1177/20552076251393342
“10 – 12 One study aimed to create an AI-powered assistant to provide caregivers of older adults with dementia a tool that can give instructions on cooking and nutritional advice for their residents.”
- Authors
- Liu, Y.-C., Chen, C.-H., Lin, Y.-S., Chen, H.-Y., Irianti, D., Jen, T.-N., Yeh, J.-Y., & Chiu, S. Y.-H.
- Affiliations
- Chang Gung University (TW)
- Institute for Information Industry (TW)
- Chang Gung Memorial Hospital (TW)
- Corresponding author
- Chiu, Sherry Yueh-Hsia
- ORCID
- Venue
- JMIR mHealth and uHealth
- Publisher
- JMIR Publications Inc.
- Published
- 2020-09-28
- Volume
- 8
- Issue
- 9
- Pages
- e20317
- ISSN
- 2291-5222 (ISSN-L)
- PMC
- PMC7551114
- OpenAlex
- W3088002417
- Cited by
- 41
- References
- 42
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 7 · 2023: 5 · 2022: 12 · 2021: 8 · 2020: 1
- FWCI
- 9.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR mhealth and uhealth (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Keywords
- voice user interface, dietary self-management, older adults, usability, speech recognition errors, user-centered design, mobile health apps, System Usability Scale, interaction design, retirement community residents
- MeSH terms
- Aged, Aged, 80 and over, Eating, Female, Humans, Male, Middle Aged, Mobile Applications
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