This paper is in the following e-collection/theme issue:

Design and Formative Evaluation of Mobile Apps (664) Human Factors and Usability Case Studies (748) Voice Assistants (42) Instruments and Questionnaires for Nutrition and Food Intake (159)

Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/20317, first published .
Design and Usability Evaluation of Mobile Voice-Added Food Reporting for Elderly People: Randomized Controlled Trial

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

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

Authors of this article:

Ying-Chieh Liu1, 2 Author Orcid Image ;   Chien-Hung Chen3 Author Orcid Image ;   Yu-Sheng Lin2 Author Orcid Image ;   Hsin-Yun Chen4 Author Orcid Image ;   Denisa Irianti1 Author Orcid Image ;   Ting-Ni Jen5 Author Orcid Image ;   Jou-Yin Yeh6 Author Orcid Image ;   Sherry Yueh-Hsia Chiu7, 8 Author Orcid Image
Article Authors Cited by (22) Tweetations (1) Metrics

Journals

  1. Yamada Y, Shinkawa K, Kobayashi M, Takagi H, Nemoto M, Nemoto K, Arai T. Using Speech Data From Interactions With a Voice Assistant to Predict the Risk of Future Accidents for Older Drivers: Prospective Cohort Study. Journal of Medical Internet Research 2021;23(4):e27667 View
  2. Schwab J, Schobel J, Werle S, Furstberger A, Ikonomi N, Szekely R, Thiam P, Huhne R, Jahn N, Schuler R, Kuhn P, Holderried M, Steger F, Reichert M, Kaisers U, Kestler A, Seufferlein T, Kestler H. Perspective on mHealth Concepts to Ensure Users’ Empowerment–From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment. IEEE Access 2021;9:83863 View
  3. Zager Kocjan G, Špes T, Svetina M, Plohl N, Smrke U, Mlakar I, Musil B. Assistive digital technology to promote quality of life and independent living for older adults through improved self-regulation: a scoping review. Behaviour & Information Technology 2023;42(16):2832 View
  4. Tan R, Goh E, Wang D, Chan R, Zeng Z, Yeo A, Pek K, Kua J, Wong W, Shen Z, Lim W. Effectiveness and usability of the system for assessment and intervention of frailty for community-dwelling pre-frail older adults: A pilot study. Frontiers in Medicine 2022;9 View
  5. Dodd C, Adam M, Rollo M. Speech Recording for Dietary Assessment: A Systematic Literature Review. IEEE Access 2022;10:37658 View
  6. Chen Z, Qi H, Wang L. Study on the Types of Elderly Intelligent Health Management Technology and the Influencing Factors of Its Adoption. Healthcare 2021;9(11):1494 View
  7. Yamada Y, Shinkawa K, Nemoto M, Arai T. Automatic Assessment of Loneliness in Older Adults Using Speech Analysis on Responses to Daily Life Questions. Frontiers in Psychiatry 2021;12 View
  8. Liu Y, Onthoni D, Mohapatra S, Irianti D, Sahoo P. Deep-Learning-Assisted Multi-Dish Food Recognition Application for Dietary Intake Reporting. Electronics 2022;11(10):1626 View
  9. Deniz-Garcia A, Fabelo H, Rodriguez-Almeida A, Zamora-Zamorano G, Castro-Fernandez M, Alberiche Ruano M, Solvoll T, Granja C, Schopf T, Callico G, Soguero-Ruiz C, Wägner A. Quality, Usability, and Effectiveness of mHealth Apps and the Role of Artificial Intelligence: Current Scenario and Challenges. Journal of Medical Internet Research 2023;25:e44030 View
  10. Wang Q, Liu J, Zhou L, Tian J, Chen X, Zhang W, Wang H, Zhou W, Gao Y. Usability evaluation of mHealth apps for elderly individuals: a scoping review. BMC Medical Informatics and Decision Making 2022;22(1) View
  11. Liu N, Yin J, Tan S, Ngiam K, Teo H. Mobile health applications for older adults: a systematic review of interface and persuasive feature design. Journal of the American Medical Informatics Association 2021;28(11):2483 View
  12. Hopstock L, Medin A, Skeie G, Henriksen A, Lundblad M. Evaluation of a Web-Based Dietary Assessment Tool (myfood24) in Norwegian Women and Men Aged 60-74 Years: Usability Study. JMIR Formative Research 2022;6(3):e35092 View
  13. Zangirolami-Raimundo J, Noll P, Raimundo R, Gonçalves G, Urso E, Bech G, Frank Y, Abreu L, Baracat E, Sorpreso I, Soares Júnior J. Use of interventions involving virtual reality tasks during the climacteric: a systematic review. Climacteric 2022;25(6):543 View
  14. KAZUMYAN S, DEGTEV I, BORISOV V, ERSHOV K. VIRTUAL TECHNOLOGIES IN DENTISTRY. AVICENNA BULLETIN 2020;22(4):606 View
  15. Chikwetu L, Daily S, Mortazavi B, Dunn J. Automated Diet Capture Using Voice Alerts and Speech Recognition on Smartphones: Pilot Usability and Acceptability Study. JMIR Formative Research 2023;7:e46659 View
  16. Kuoppamäki S, Jaberibraheem R, Hellstrand M, McMillan D. Designing Multi-Modal Conversational Agents for the Kitchen with Older Adults: A Participatory Design Study. International Journal of Social Robotics 2023;15(9-10):1507 View
  17. Happe L, Sgraja M, Hein A, Quinten V, Diekmann R. Usability and feasibility of a tablet-based e-coach for older adults in rehabilitation units to improve nutrition and physical activity: a prospective pilot study. BMC Geriatrics 2023;23(1) View
  18. Shah R, Dixon C, Fowler M, Driesse T, Liang X, Summerour C, Gross D, Spangler H, Lynch D, Batsis J. Using Voice Assistant Systems to Improve Dietary Recall among Older Adults: Perspectives of Registered Dietitians. Journal of Nutrition in Gerontology and Geriatrics 2024:1 View
  19. Wang Y, Zhou Y, Chen X, Fang H. Operational Performance and Subjective Preferences of Elderly Users in Intelligent Interactive Interfaces: A Systematic Review. International Journal of Human–Computer Interaction 2024:1 View

Books/Policy Documents

  1. Liu Y, Verma R, Theng Y. Aging. View
  2. Roig-Maimó M, Mas-Sansó R, Arbós-Berenguer M, Salinas-Bueno I. Computers Helping People with Special Needs. View