TY - GEN
T1 - Exploring the Impact of User and System Factors on Human-AI Interactions in Head-Worn Displays
AU - Lu, Feiyu
AU - Xu, Yan
AU - Xu, Xuhai
AU - Jones, Brennan
AU - Malamed, Laird
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Empowered by the rich sensory capabilities and the advancements in artificial intelligence (AI), head-worn displays (HWD) could understand the user's contexts and provide just-in-time assistance to users' tasks to augment their everyday lives. However, there has been limited understanding of how users perceive interacting with AI services, and how different factors impact the user experience in HWD applications. In this research, we investigated broadly what user and system factors play important roles in human-AI experiences during an AI-assisted spatial task. We conducted a user study to simulate an everyday scenario where augmented reality (AR) glasses could provide suggestions/assistance. We researched three AI system factors (performance, initiation, transparency) with multiple user factors (personality traits, trust propensity, and prior trust with AI). We not only identified the impact of user traits such as the levels of conscientiousness and prior trust with the AI, but also found interesting interactions between them and system factors such as AI's performance and initiation strategy. Based on the findings, we suggest that future AI assistance on HWD needs to take users' individual characteristics into account and customize the system design accordingly.
AB - Empowered by the rich sensory capabilities and the advancements in artificial intelligence (AI), head-worn displays (HWD) could understand the user's contexts and provide just-in-time assistance to users' tasks to augment their everyday lives. However, there has been limited understanding of how users perceive interacting with AI services, and how different factors impact the user experience in HWD applications. In this research, we investigated broadly what user and system factors play important roles in human-AI experiences during an AI-assisted spatial task. We conducted a user study to simulate an everyday scenario where augmented reality (AR) glasses could provide suggestions/assistance. We researched three AI system factors (performance, initiation, transparency) with multiple user factors (personality traits, trust propensity, and prior trust with AI). We not only identified the impact of user traits such as the levels of conscientiousness and prior trust with the AI, but also found interesting interactions between them and system factors such as AI's performance and initiation strategy. Based on the findings, we suggest that future AI assistance on HWD needs to take users' individual characteristics into account and customize the system design accordingly.
KW - Human-centered computing
KW - Interaction paradigms
KW - Interaction techniques
KW - Mixed/augmented reality
UR - https://www.scopus.com/pages/publications/85180369315
U2 - 10.1109/ISMAR59233.2023.00025
DO - 10.1109/ISMAR59233.2023.00025
M3 - Conference Proceeding
AN - SCOPUS:85180369315
T3 - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2023
SP - 109
EP - 118
BT - Proceedings - 2023 IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2023
A2 - Bruder, Gerd
A2 - Olivier, Anne-Helene
A2 - Cunningham, Andrew
A2 - Peng, Evan Yifan
A2 - Grubert, Jens
A2 - Williams, Ian
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2023
Y2 - 16 October 2023 through 20 October 2023
ER -