Neighbor-Environment Observer: An Intelligent Agent for Immersive Working Companionship

Fuente: arXiv
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Hauptverfasser: Sun, Zhe, Liang, Qixuan, Wang, Meng, Zhang, Zhenliang
Format: Preprint
Veröffentlicht: 2024
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author Sun, Zhe
Liang, Qixuan
Wang, Meng
Zhang, Zhenliang
author_facet Sun, Zhe
Liang, Qixuan
Wang, Meng
Zhang, Zhenliang
contents Human-computer symbiosis is a crucial direction for the development of artificial intelligence. As intelligent systems become increasingly prevalent in our work and personal lives, it is important to develop strategies to support users across physical and virtual environments. While technological advances in personal digital devices, such as personal computers and virtual reality devices, can provide immersive experiences, they can also disrupt users' awareness of their surroundings and enhance the frustration caused by disturbances. In this paper, we propose a joint observation strategy for artificial agents to support users across virtual and physical environments. We introduce a prototype system, neighbor-environment observer (NEO), that utilizes non-invasive sensors to assist users in dealing with disruptions to their immersive experience. System experiments evaluate NEO from different perspectives and demonstrate the effectiveness of the joint observation strategy. A user study is conducted to evaluate its usability. The results show that NEO could lessen users' workload with the learned user preference. We suggest that the proposed strategy can be applied to various smart home scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2403_18331
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Neighbor-Environment Observer: An Intelligent Agent for Immersive Working Companionship
Sun, Zhe
Liang, Qixuan
Wang, Meng
Zhang, Zhenliang
Human-Computer Interaction
Human-computer symbiosis is a crucial direction for the development of artificial intelligence. As intelligent systems become increasingly prevalent in our work and personal lives, it is important to develop strategies to support users across physical and virtual environments. While technological advances in personal digital devices, such as personal computers and virtual reality devices, can provide immersive experiences, they can also disrupt users' awareness of their surroundings and enhance the frustration caused by disturbances. In this paper, we propose a joint observation strategy for artificial agents to support users across virtual and physical environments. We introduce a prototype system, neighbor-environment observer (NEO), that utilizes non-invasive sensors to assist users in dealing with disruptions to their immersive experience. System experiments evaluate NEO from different perspectives and demonstrate the effectiveness of the joint observation strategy. A user study is conducted to evaluate its usability. The results show that NEO could lessen users' workload with the learned user preference. We suggest that the proposed strategy can be applied to various smart home scenarios.
title Neighbor-Environment Observer: An Intelligent Agent for Immersive Working Companionship
topic Human-Computer Interaction
url https://arxiv.org/abs/2403.18331