mlsanityData to 14 Oct 2026

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

arXiv 2505.20068 ↗First posted 26 May 2025cs.HC cs.AIcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 55 references that are in the map. First posted on arXiv 26 May 2025.

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3 of 55 references.

References · 3

  1. 2022Training language models to follow instructions with human feedbackcited by 15,971
  2. 2022The Debate Over Understanding in AI's Large Language Modelscited by 142
  3. 2017When Will AI Exceed Human Performance? Evidence from AI Expertscited by 41

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