Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Advertisement

Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: May 19, 2020
Open Peer Review Period: May 19, 2020 - Jul 1, 2020
Date Accepted: Jul 26, 2020
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Liu Y, Chen C, Lin Y, Chen H, Irianti D, Jen T, Yeh J, Chiu SY

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

JMIR Mhealth Uhealth 2020;8(9):e20317

DOI: 10.2196/20317

PMID: 32985999

Design and Usability Evaluation of Mobile Voice-added Food Reporting for the Elderly: 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

ABSTRACT

Background:

Advances in voice technology have raised new possibilities for applications 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 fifty-seven adults aged 60-90 (male=12; female=45) was recruited from a retirement community and randomized into two experimental groups, i.e., VOR (n=30) and VBR (n=27). Both groups were tested using the same set of seventeen 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 system usability scale (SUS) was used to measure user perception.

Results:

For the eight error types identified in the experiment, the VBR group participants were significantly more error-prone, related to the tasks required in use of screen-touch buttons. The highest error rates in the VOR group were due to incomprehensible reporting speech (6.7%), while the highest error rates in the VBR group were related to failure to make required button taps (10.3%). The VOR group required significantly less time to complete food reporting. The overall subjective reaction of the two groups based on SUS surpassed the benchmark and were not significantly different.

Conclusions:

Experimental results show that VOR outperformed VBR, suggesting that voice-only food input reporting is preferable for elderly users. The voice-added apps offer a potential mechanism for the self-management of dietary intake tool by elderly users. Our study contributes an evidence-based evaluation of prototype design and selection under a user-centered design (UCD) model. The results provide a useful reference for selecting optimal user interaction design. Clinical Trial: International Standard Randomized Controlled Trial Registry ISRCTN36710750; http://www.controlled-trials.com/ISRCTN17335889/17335889.


 Citation

Please cite as:

Liu Y, Chen C, Lin Y, Chen H, Irianti D, Jen T, Yeh J, Chiu SY

Design and Usability Evaluation of Mobile Voice-added Food Reporting for the Elderly: Randomized Controlled Trial

JMIR mHealth and uHealth. 26/07/2020:20317 (forthcoming/in press)

DOI: 10.2196/20317

URL: https://preprints.jmir.org/preprint/20317

PMID: 32985999

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.