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Title:      LEVERAGING VOICE ASSISTIVE TECHNOLOGY TO ENHANCE HEALTH MONITORING OF OLDER ADULTS
Author(s):      Swaraj Rath and Swati Chandna
ISBN:      978-989-8704-31-3
Editors:      Katherine Blashki
Year:      2021
Edition:      Single
Keywords:      mHealth for Older Adults, VUI, Elder Healthcare
Type:      Full
First Page:      100
Last Page:      107
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      With the growing population of older adults, the need for mHealth to address specific aging features is also increasing. However, various research and usability studies on those mHealth applications indicate that mHealth is still not planned with older adults and their needs in mind. It is critical to gain insight into aging obstacles that affect the usability of mHealth as encountered by older adults in order to improve mHealth designs targeted at this demographic. Voice as a new interaction modality has been heavily emphasized in recent product launches such as Apple's Siri and Google's Voice Search. A user-centered design methodology was used to create a mobile health application to help independent living older adults keep track of their health and routine in this research. To help these individuals, I have designed CORE-Energy, a conceptual context-aware assistive application by integrating a language-technology-driven interface into mHealth. First, a Survey on mHealth was conducted to gather the opinion of various stakeholders. The functional design criteria used to direct the design were identified through an analysis of the data collected during this process. Integration of VUI, keeping track of Blood pressure, blood sugar, body temperature, and fitness tracking functionality was explored using a rapid prototyping method. The ease of use and perceived usefulness of the final prototype produced in this study were assessed. After conducting usability testing on 5 users, this application received a System Usability Scale (SUS) score of 75.4%, which indicates that the interface was found to be user-friendly in general. The application created during the research work can be extended to create a more diversified set of voice input to make the user experience even smoother.
   

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