Innovation diffusion of wearable mobile computing: Pervasive computing perspective

S. Taib, R. De Coster, J. Nyamu
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引用次数: 11

Abstract

Wearable technology has become mainstream in this information age, it is needed to understand how the potential users of this emerging technology gain value from the innovation of the technology, consequently increasing users' diffusion. Extant literature on the acceptance of mobile computing has been developing such as in mobile banking services and in healthcare service, however, the study of users' acceptance about the emergence of wearable mobile computing is still at the early stages. This paper examines the development of a conceptual framework to understand the technology adoption factors for wearable mobile computing utilizing the Technology Acceptance Model (TAM), the Diffusion of Innovation Theory (DOI) and related factors on mobility and pervasive computing. Data of 272 respondents were collected using quantitative approach of survey based questionnaires conducted in Malaysia. The findings of this research revealed the factors of mobility (MOB), personalization (PN) and perceived enjoyment (PE) achieved the highest average score by respondents, followed by perceived usefulness (PU) and perceived ease of use (PEU), observability (OBS), facilitating condition (FC) and social influence (SI). As wearable technology is perceived to be pervasive, mobility (MOB) and perceived enjoyment (PE) contribute the dominant factor for usage acceptance, while Perceived Usefulness (PU) from established model TAM, still plays an important factors in predicting innovation adoption of wearable mobile computing.
可穿戴移动计算的创新扩散:普适计算视角
可穿戴技术在这个信息时代已经成为主流,需要了解这种新兴技术的潜在用户如何从技术的创新中获得价值,从而增加用户的扩散。关于移动计算接受度的现有文献一直在发展,例如在移动银行服务和医疗保健服务中,然而,关于用户对可穿戴移动计算出现的接受度的研究仍处于早期阶段。本文利用技术接受模型(TAM)、创新扩散理论(DOI)以及移动性和普适计算的相关因素,研究了一个概念框架的发展,以理解可穿戴移动计算的技术采用因素。272名受访者的数据收集使用基于调查问卷的定量方法在马来西亚进行。调查结果显示,被调查者的平均得分最高的是移动性(MOB)、个性化(PN)和感知享受(PE),其次是感知有用性(PU)和感知易用性(PEU)、可观察性(OBS)、促进条件(FC)和社会影响(SI)。由于可穿戴技术被认为是普遍的,移动性(MOB)和感知享受(PE)是使用接受度的主要因素,而从已建立的模型TAM中获得的感知有用性(PU)仍然是预测可穿戴移动计算创新采用的重要因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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