On the Same Page: Dimensions of Perceived Shared Understanding in Human-AI Interaction
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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.
Builds on
3 of 55 references.
References · 3
- 2022Training language models to follow instructions with human feedbackcited by 15,971
- 2022The Debate Over Understanding in AI's Large Language Modelscited by 142
- 2017When Will AI Exceed Human Performance? Evidence from AI Expertscited by 41
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Citing papers per year: 2026: 1.
1 paper.