Intended use of smartwatches and pedometers in the university environment: an empirical analysis
Intended use of smartwatches and pedometers in the university environment: an empirical analysis
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智能手表和计步器在大学环境中的预期使用：实证分析
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
J. Porras
中科院分区：
文献类型：
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作者：
Jayden Khakurel;Antti Knutas;M. Immonen;J. Porras
在这项工作中，我们通过可穿戴接受模型（WAM）实证研究了影响大学环境中使用可穿戴设备（如智能手表或计步器）意图的因素。WAM结合了UTAUT模型和其他变量，如可穿戴特性（如可穿戴性、设计和物理特性）、态度和隐私。WAM对129所大学的教职员工和学生进行了在线调查。采用偏最小二乘（PLS）路径模型对14个假设进行分析，验证WAM结果。根据WAM，耐磨性和态度倾向于直接影响使用意图，而表现和努力期望只对态度有直接影响，对使用意图没有直接影响。同样，隐私关注、社会影响也通过态度直接和间接地对使用意向产生积极影响。然而，设计和物理特性对使用意图没有影响。本研究为可穿戴研究做出了独特的实证贡献，扩展了对大学用户对可穿戴设备的健康行为的认识。
In this work, we empirically examine factors that influence the intention to use wearables e.g. smartwatch or pedometer, in the university environment through a Wearable Acceptance Model (WAM). WAM incorporates UTAUT model and additional variables like wearable characteristics (e.g. wearability, design and physical characteristics), attitude and privacy. WAM was used with an online survey of 129 university faculty, staff and students. Further, partial least square (PLS) path modeling was applied in analysis of 14 hypotheses to validate WAM results. In accordance to WAM, wearability and attitude tend to have a direct effect on intention to use, whereas performance and effort expectancy had only a direct influence on attitude and no direct influence on usage intention. Similarly, privacy concern, social influence had a positive influence on the intention to use both directly and indirectly through attitude. However, design and physical characteristics had no effect on intention to use. This study makes a unique empirical contribution to wearable research by extending knowledge on university users' behavior regarding wearables for well-being.