Marto Anabela, Gonçalves Alexandrino, Melo Miguel, Bessa Maximino, Silva Rui
Computer Science and Communication Research Centre (CIIC), School of Technology and Management (ESTG), Polytechnic of Leiria, 2411-901 Leiria, Portugal.
Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal.
J Imaging. 2023 Mar 21;9(3):73. doi: 10.3390/jimaging9030073.
The expansion of augmented reality across society, its availability in mobile platforms and the novelty character it embodies by appearing in a growing number of areas, have raised new questions related to people's predisposition to use this technology in their daily life. Acceptance models, which have been updated following technological breakthroughs and society changes, are known to be great tools for predicting the intention to use a new technological system. This paper proposes a new acceptance model aiming to ascertain the intention to use augmented reality technology in heritage sites-the Augmented Reality Acceptance Model (ARAM). ARAM relies on the use of the Unified Theory of Acceptance and Use of Technology model (UTAUT) model's constructs, namely performance expectancy, effort expectancy, social influence, and facilitating conditions, to which the new and adapted constructs of trust expectancy, technological innovation, computer anxiety and hedonic motivation are added. This model was validated with data gathered from 528 participants. Results confirm ARAM as a reliable tool to determine the acceptance of augmented reality technology for usage in cultural heritage sites. The direct impact of performance expectancy, facilitating conditions and hedonic motivation is validated as having a positive influence on behavioural intention. Trust expectancy and technological innovation are demonstrated to have a positive influence on performance expectancy whereas hedonic motivation is negatively influenced by effort expectancy and by computer anxiety. The research, thus, supports ARAM as a suitable model to ascertain the behavioural intention to use augmented reality in new areas of activity.
增强现实在社会中的扩展、其在移动平台上的可用性以及它在越来越多领域出现所体现的新颖性，引发了与人们在日常生活中使用这项技术的倾向相关的新问题。随着技术突破和社会变革而更新的接受模型，被认为是预测使用新技术系统意图的有效工具。本文提出了一种新的接受模型，旨在确定在遗产地使用增强现实技术的意图——增强现实接受模型（ARAM）。ARAM依赖于技术接受与使用统一理论模型（UTAUT）的构建要素，即绩效期望、努力期望、社会影响和促进条件，并在此基础上增加了信任期望、技术创新、计算机焦虑和享乐动机等新的和经过调整的构建要素。该模型通过从528名参与者收集的数据进行了验证。结果证实，ARAM是确定增强现实技术在文化遗产地使用接受度的可靠工具。绩效期望、促进条件和享乐动机的直接影响被验证对行为意图有积极影响。信任期望和技术创新被证明对绩效期望有积极影响，而享乐动机受到努力期望和计算机焦虑的负面影响。因此，该研究支持ARAM作为确定在新活动领域使用增强现实行为意图的合适模型。
