Knowledge-based authentication methods for Virtual Reality (VR) are typically evaluated using performance metrics such as entry time and recall rate. While this practice creates an appearance of standardization, it may obscure meaningful procedural differences across studies and, more critically, fails to capture the c...
Yuxuan Huang, Qiao Jin· Proceedings of the Second Wo...· 0 citations
We present CollabPEAS, a collaborative system for artificial intelligence (AI) literacy in which pairs of learners come to understand how an AI agent’s behavior is produced by human specification. Working in shared virtual reality (VR), learners jointly specify a virtual cleaning robot using the PEAS framework (Perform...
Wan-Ru Li, Y. Yu, Qiao Jin· Proceedings of the 2026 Comp...· 0 citations
Large language models (LLMs) let users direct heterogeneous multi-robot systems (MRS) through natural language, but make task interpretation, robot assignment, and coordination difficult to inspect and change. Based on a formative study with 12 non-expert users, we developed MRPilot, a mixed reality system organized ar...
Xiao-Ran Yang, Xun Qian, Yang Zhan et al.· 0 citations
Three designs for presenting the hallucination-awareness information (uncertainty and provenance) in ECAs in VR against a no-cue baseline are compared and all three support users in identifying hallucinations.
Xiao-Ran Yang, Yang Zhan, Xie He et al.· 0 citations
A chatbot-building environment with adjustable trust-relevant traits, describing what children believe makes a chatbot trustworthy, is developed, and seven design dimensions describing what children believe makes a chatbot trustworthy are identified.
Deniz Ozturk, Jia-Yu Li, Dakshita Singh et al.· 0 citations
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