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sensors Article The Impacts of Attitudes and Engagement on Electronic Word of Mouth (eWOM) of Mobile Sensor Computing Applications Yu Zhao 1 , Yide Liu 1, *, Ivan K. W. Lai 2, *, Hongfeng Zhang 3 and Yi Zhang 4 1 School of Business, Macau University of Science and Technology, Taipa, Macau 999078, China; [email protected] 2 School of Business and Hospitality Management, Caritas Institute of Higher Education, Tseung Kwan O, New Territories, Hong Kong 999077, China 3 Management Board Office, Macao Polytechnic Institute, Macau 999078, China; [email protected] 4 Department of Mathematics, Tongji University, Shanghai 200092, China; [email protected] * Correspondence: [email protected] (Y.L.); [email protected] (I.K.W.L.); Tel.: +853-8897-2862 (Y.L.); +852-3653-6665 (I.K.W.L.); Fax: +853-2882-3281 (Y.L.) Academic Editor: Leonhard M. Reindl Received: 31 December 2015; Accepted: 3 March 2016; Published: 18 March 2016 Abstract: As one of the latest revolutions in networking technology, social networks allow users to keep connected and exchange information. Driven by the rapid wireless technology development and diffusion of mobile devices, social networks experienced a tremendous change based on mobile sensor computing. More and more mobile sensor network applications have appeared with the emergence of a huge amount of users. Therefore, an in-depth discussion on the human–computer interaction (HCI) issues of mobile sensor computing is required. The target of this study is to extend the discussions on HCI by examining the relationships of users’ compound attitudes ( i.e. , affective attitudes, cognitive attitude), engagement and electronic word of mouth (eWOM) behaviors in the context of mobile sensor computing. A conceptual model is developed, based on which, 313 valid questionnaires are collected. The research discusses the level of impact on the eWOM of mobile sensor computing by considering user-technology issues, including the compound attitude and engagement, which can bring valuable discussions on the HCI of mobile sensor computing in further study. Besides, we find that user engagement plays a mediating role between the user’s compound attitudes and eWOM. The research result can also help the mobile sensor computing industry to develop effective strategies and build strong consumer user—product (brand) relationships. Keywords: mobile sensor computing; human–computer interaction (HCI); WeChat 1. Introduction As a two-way personal device, mobile helps users create and consume huge of data every day. Beyond sending/receiving SMS, mobile users could create a “virtual world” by using instant messengers (WhatsApp, WeChat, and other applications), wikis, blogs, social networking platforms and podcasts to access and share information. With the development of sensor computing recently, mobile users could get more benefit, including ubiquitous availability, fast response, and context-aware ability. Mobile sensor computing could help users share information while walking, driving or even sleeping can provide plenty of extremely useful applications, such as personal service (m-commerce,
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