Integrating persuasive technology to telemedical applications for type 2 diabetes

Jalil, Sakib, and Orji, Rita (2016) Integrating persuasive technology to telemedical applications for type 2 diabetes. In: CEUR Workshop Proceedings (1582) pp. 92-100. From: PPT 2016: Personalization in Persuasive Technology, 5 April 2016, Salzburg, Austria.

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Type 2 Diabetes (T2D) patients need constant monitoring of food, exercise and insulin level. Telemedical systems aid the patients in monitoring and sending their regular blood glucose to nurses and in receiving suggestions on food, exercise and insulin dosage, especially on food choices. This paper presents a qualitative inquiry aimed at investigating the possibility of integrating Persuasive Technology (PT) into existing telemedical system for T2D to promote desirable dietary and physical activity among T2D patients and how T2D patients perceive the role of such PTs in comparison to a human persuader. The findings show that T2D patients prefered to receive dietary recommendation and suggestions or restrictions from a PT. The T2D patients prefer to be told what they can or cannot eat by a PT than hearing it from a human. Thus, PTs hold significant promise of complementing existing telemedical applications to achieve desirable health outcome for T2D. However, since the motivational needs of T2D patients may differ from those of non-diabetic individuals [12], there is a need to understand them and tailor the PT to reflect the needs and beliefs of the T2D patients.

Item ID: 49338
Item Type: Conference Item (Research - E1)
ISSN: 1613-0073
Keywords: clinical trial, health, model-driven persuasive technology, tailoring, telemedicine, type 2 diabetes
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Funders: James Cook University
Date Deposited: 22 Jun 2017 01:41
FoR Codes: 46 INFORMATION AND COMPUTING SCIENCES > 4608 Human-centred computing > 460806 Human-computer interaction @ 100%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970108 Expanding Knowledge in the Information and Computing Sciences @ 50%
97 EXPANDING KNOWLEDGE > 970111 Expanding Knowledge in the Medical and Health Sciences @ 50%
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