Enhancing user wellbeing in augmented reality mHealth apps: The role of TAM and continuance

Ed Cottam

Abstract

The international health community strongly endorses public and patient involvement in healthcare (Charles & DeMaio, 1993; Department Health, 1999; Health Canada, 2000, Neuwelt, 2012). Advances in technology and evolving health legislation have driven the rise of health management applications, or mhealth (Zapata et al., 2015). These mhealth apps facilitate greater levels of patient empowerment by providing easy access to relevant health. However, augmented reality driven mhealth apps are under-researched. This study investigates the antecedents of AR-driven mhealth app continuance, drawing upon the TAM model (Davis, 1989) to highlight the relationship between perceived ease of use, perceived usefulness, continued use and how these ultimately impact user’s subjective wellbeing (Pyke et al., 2016; Smith & Diekmann, 2017).

Original language	English
Publication status	Published - 28 Jun 2018
Event	British Council - NSFC Newton Researcher Links Workshop on Health and Well-being through VR and AR - Jianguo Hotel, Xi’an, China Duration: 28 Jun 2018 → 30 Jun 2018

Conference

Conference	British Council - NSFC Newton Researcher Links Workshop on Health and Well-being through VR and AR
Country/Territory	China
City	Xi’an
Period	28/06/18 → 30/06/18

Keywords

mHealth
Technology acceptance model
Augmented Reality

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Cite this

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abstract = "The international health community strongly endorses public and patient involvement in healthcare (Charles & DeMaio, 1993; Department Health, 1999; Health Canada, 2000, Neuwelt, 2012). Advances in technology and evolving health legislation have driven the rise of health management applications, or mhealth (Zapata et al., 2015). These mhealth apps facilitate greater levels of patient empowerment by providing easy access to relevant health. However, augmented reality driven mhealth apps are under-researched. This study investigates the antecedents of AR-driven mhealth app continuance, drawing upon the TAM model (Davis, 1989) to highlight the relationship between perceived ease of use, perceived usefulness, continued use and how these ultimately impact user{\textquoteright}s subjective wellbeing (Pyke et al., 2016; Smith & Diekmann, 2017). ",

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T2 - British Council - NSFC Newton Researcher Links Workshop on Health and Well-being through VR and AR

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Y1 - 2018/6/28

N2 - The international health community strongly endorses public and patient involvement in healthcare (Charles & DeMaio, 1993; Department Health, 1999; Health Canada, 2000, Neuwelt, 2012). Advances in technology and evolving health legislation have driven the rise of health management applications, or mhealth (Zapata et al., 2015). These mhealth apps facilitate greater levels of patient empowerment by providing easy access to relevant health. However, augmented reality driven mhealth apps are under-researched. This study investigates the antecedents of AR-driven mhealth app continuance, drawing upon the TAM model (Davis, 1989) to highlight the relationship between perceived ease of use, perceived usefulness, continued use and how these ultimately impact user’s subjective wellbeing (Pyke et al., 2016; Smith & Diekmann, 2017).

AB - The international health community strongly endorses public and patient involvement in healthcare (Charles & DeMaio, 1993; Department Health, 1999; Health Canada, 2000, Neuwelt, 2012). Advances in technology and evolving health legislation have driven the rise of health management applications, or mhealth (Zapata et al., 2015). These mhealth apps facilitate greater levels of patient empowerment by providing easy access to relevant health. However, augmented reality driven mhealth apps are under-researched. This study investigates the antecedents of AR-driven mhealth app continuance, drawing upon the TAM model (Davis, 1989) to highlight the relationship between perceived ease of use, perceived usefulness, continued use and how these ultimately impact user’s subjective wellbeing (Pyke et al., 2016; Smith & Diekmann, 2017).

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KW - Technology acceptance model

KW - Augmented Reality

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