Paper Type
Complete
Paper Number
1012
Description
Augmented reality has been broadly employed to facilitate collaboration between physically dispersed individuals. Yet augmented reality is not without problems. A high volume of information presented in augmented reality can overwhelm individuals. Drawing from gestalt principles and information processing literature, this study considers how exploratory linkage and explanatory demarcation can facilitate the collaborative diagnosis of an unexpected technical breakdown involving two complete strangers. Furthermore, this study examined confusion cognition and confusion as underlying mechanisms. The proposed research model was tested through a laboratory experiment involving a custom-built augmented reality environment and physiological measurements. The results show that exploratory linkage and explanatory demarcation influence the collaborative diagnosis performance. Confusion cognition and confusion were found to be significant mediators. Overall, this study contributes to the information processing literature and digital collaboration research by unearthing the effects of augmented reality characteristics on collaborative diagnostic performance.
Recommended Citation
Hong, Zeyuan (Stephen); Choi, Ben; and Boh, Waifong, "Overcoming Local Problems with Remote Intelligence: Empowering Next-Generation Diagnosis with Augmented Reality" (2024). PACIS 2024 Proceedings. 10.
https://aisel.aisnet.org/pacis2024/track13_hcinteract/track13_hcinteract/10
Overcoming Local Problems with Remote Intelligence: Empowering Next-Generation Diagnosis with Augmented Reality
Augmented reality has been broadly employed to facilitate collaboration between physically dispersed individuals. Yet augmented reality is not without problems. A high volume of information presented in augmented reality can overwhelm individuals. Drawing from gestalt principles and information processing literature, this study considers how exploratory linkage and explanatory demarcation can facilitate the collaborative diagnosis of an unexpected technical breakdown involving two complete strangers. Furthermore, this study examined confusion cognition and confusion as underlying mechanisms. The proposed research model was tested through a laboratory experiment involving a custom-built augmented reality environment and physiological measurements. The results show that exploratory linkage and explanatory demarcation influence the collaborative diagnosis performance. Confusion cognition and confusion were found to be significant mediators. Overall, this study contributes to the information processing literature and digital collaboration research by unearthing the effects of augmented reality characteristics on collaborative diagnostic performance.
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