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Design and initial evaluation of visual-based intuitive aids for dietary food size description on mobile devices
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Journal of Nursing & Care

ISSN: 2167-1168

Open Access

Design and initial evaluation of visual-based intuitive aids for dietary food size description on mobile devices


6th World Nursing and Healthcare Conference

August 15-17, 2016 London, UK

Ying-Chieh Liu and Yung-Yi Huang

Chang Gung University, Taiwan

Posters & Accepted Abstracts: J Nurs Care

Abstract :

One critical issue in effective intake record is the prescriptive report of the amount of food. This process is frequently subjected to errors which can negate the effect of dietary control. Food size description can be conducted timely with the use of app where the food or the unfinished food presented in front of the user, mental activities in user�s recall on the amount of food eaten are thus avoided. To come up with an intuitive dietary food size description on mobile devices, the user-centered innovative design of SBI (sketching-based interface) is proposed. SBI does not require the use of predetermined photos or the process of photos taking. The user simply describes the regular food shape e.g., round, and square by shading comparator (e.g., credit card) through clicking, dragging, or scribbling to scale. Three design alternatives based on different user-interactions are designed. The initial usability evaluation upon the accuracy of size description and time cosumed for each design alternative are presented. Discussions include the further enhancement of SBI and whether or not SBI strengthens the user�s awareness and conceptualization of food items through long-term use.

Biography :

Ying-Chieh Liu, PhD, is an Assistant Professor in the Department of Industrial Design at Chang Gung University. He received his PhD in Engineering Department, Cambridge University, UK. He is familiar with nutrition informatics and new product design.

Yung-Yi Huang is a Master’s student in the Department of Industrial Design, Chang Gung University, Taiwan.

Email: ycl30@mail.cgu.edu.tw

Google Scholar citation report
Citations: 4230

Journal of Nursing & Care received 4230 citations as per Google Scholar report

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