Surveying the Social Comfort of Body, Device, and Environment-Based Augmented Reality Interactions in Confined Passenger Spaces Using Mixed Reality Composite Videos

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Pub Date : 2023-09-27 DOI:10.1145/3610923
Daniel Medeiros, Romane Dubus, Julie Williamson, Graham Wilson, Katharina Pöhlmann, Mark McGill
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Abstract

Augmented Reality (AR) headsets could significantly improve the passenger experience, freeing users from the restrictions of physical smartphones, tablets and seatback displays. However, the confined space of public transport and the varying proximity to other passengers may restrict what interaction techniques are deemed socially acceptable for AR users - particularly considering current reliance on mid-air interactions in consumer headsets. We contribute and utilize a novel approach to social acceptability video surveys, employing mixed reality composited videos to present a real user performing interactions across different virtual transport environments. This approach allows for controlled evaluation of perceived social acceptability whilst freeing researchers to present interactions in any simulated context. Our resulting survey (N=131) explores the social comfort of body, device, and environment-based interactions across seven transit seating arrangements. We reflect on the advantages of discreet inputs over mid-air and the unique challenges of face-to-face seating for passenger AR.
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使用混合现实合成视频调查在受限乘客空间中基于身体、设备和环境的增强现实交互的社会舒适度
增强现实(AR)耳机可以显著改善乘客体验,将用户从实体智能手机、平板电脑和座椅靠背显示器的限制中解放出来。然而,公共交通的有限空间和与其他乘客的不同距离可能会限制AR用户认为可接受的交互技术,特别是考虑到目前消费者耳机对空中交互的依赖。我们为社会可接受性视频调查贡献并利用了一种新颖的方法,采用混合现实合成视频来呈现真实用户在不同虚拟交通环境中进行交互。这种方法允许对感知到的社会可接受性进行控制评估,同时释放研究人员在任何模拟环境中呈现互动。我们的调查结果(N=131)探讨了七种交通座位安排中身体、设备和基于环境的互动的社会舒适度。我们反思了相对于空中的谨慎输入的优势,以及面对面座位对乘客AR的独特挑战。
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来源期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Computer Science-Computer Networks and Communications
CiteScore
9.10
自引率
0.00%
发文量
154
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