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Exploring the Acceptance of mHealth Applications - Do Acceptance Patterns Vary Depending on Context?

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Advances in Human Factors in Wearable Technologies and Game Design (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 795))

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Abstract

In the present study, we investigate influencing factors on the acceptance of mHealth smartphone apps, using an extended UTAUT model. N = 165 participants evaluated use intention, performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), as well as privacy concerns for a fitness app (lifestyle context) and a diabetes app (medical context). Structural equation modeling is used to assess the relevance of influences on adoption intention in these contexts. Results show that acceptance factors indeed differ strongly between lifestyle and medical contexts. For the latter, only PE and SI determine intention to use, although privacy concerns are higher than in the lifestyle context. In contrast, intention to use the fitness app is predicted by PE, SI, FA, and privacy concerns. The extended UTAUT model showed very good predictive relevance for use intention in both contexts. These findings reveal that technology acceptance needs to be examined depending on context.

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Acknowledgements

The authors thank all participants for sharing their thoughts and opinions and Niklas Kunstleben for research support. This research was funded by the German Ministry of Education and Research (BMBF) under the project MyneData (KIS1DSD045).

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Authors and Affiliations

  1. Human-Computer Interaction Center, RWTH Aachen University, Campus Boulevard 57, 52074, Aachen, Germany

    Eva-Maria Schomakers, Chantal Lidynia & Martina Ziefle

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  1. Eva-Maria Schomakers
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  2. Chantal Lidynia
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  3. Martina Ziefle
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Correspondence to Eva-Maria Schomakers .

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  1. University of Central Florida, Orlando, Florida, USA

    Tareq Z. Ahram

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Schomakers, EM., Lidynia, C., Ziefle, M. (2019). Exploring the Acceptance of mHealth Applications - Do Acceptance Patterns Vary Depending on Context?. In: Ahram, T. (eds) Advances in Human Factors in Wearable Technologies and Game Design. AHFE 2018. Advances in Intelligent Systems and Computing, vol 795. Springer, Cham. https://doi.org/10.1007/978-3-319-94619-1_6

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  • DOI: https://doi.org/10.1007/978-3-319-94619-1_6

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