On the Same Page: Dimensions of Perceived Shared Understanding in Human-AI Interaction

May 26, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Qingyu Liang, Jaime Banks arXiv ID 2505.20068 Category cs.HC: Human-Computer Interaction Cross-listed cs.AI Citations 1 Venue arXiv.org Last Checked 4 months ago
Abstract
Shared understanding plays a key role in the effective communication in and performance of human-human interactions. With the increasingly common integration of AI into human contexts, the future of personal and workplace interactions will likely see human-AI interaction (HAII) in which the perception of shared understanding is important. Existing literature has addressed the processes and effects of PSU in human-human interactions, but the construal remains underexplored in HAII. To better understand PSU in HAII, we conducted an online survey to collect user reflections on interactions with a large language model when it sunderstanding of a situation was thought to be similar to or different from the participant's. Through inductive thematic analysis, we identified eight dimensions comprising PSU in human-AI interactions: Fluency, aligned operation, fluidity, outcome satisfaction, contextual awareness, lack of humanlike abilities, computational limits, and suspicion.
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