Tell Me What I Missed: Interacting with GPT during Recalling of One-Time Witnessed Events

Fuente: arXiv
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Autores principales: Zhou, Suifang, Gong, Qi, Shen, Ximing, LC, Ray
Formato: Preprint
Publicado: 2026
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author Zhou, Suifang
Gong, Qi
Shen, Ximing
LC, Ray
author_facet Zhou, Suifang
Gong, Qi
Shen, Ximing
LC, Ray
contents LLM-assisted technologies are increasingly used to support cognitive processing and information interpretation, yet their role in aiding memory recall, and how people choose to engage with them, remains underexplored. We studied participants who watched a short robbery video (approximating a one-time eyewitness scenario) and composed recall statements using either a default GPT or a guided GPT prompted with a standardized eyewitness protocol. Results show that, in the default condition, participants who believed they had a clearer understanding of the event were more likely to trust GPT's output, whereas in the guided condition, participants showed stronger alignment between subjective clarity and actual recall. Additionally, participants evaluated the legitimacy of the individuals in the incident differently across conditions. Interaction analysis further revealed that default-GPT users spontaneously developed diverse strategies, including building on existing recollections, requesting potentially missing details, and treating GPT as a recall coach. This work shows how GPT-user interplay can subconsciously shape beliefs and perceptions of remembered events.
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id arxiv_https___arxiv_org_abs_2601_21460
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Tell Me What I Missed: Interacting with GPT during Recalling of One-Time Witnessed Events
Zhou, Suifang
Gong, Qi
Shen, Ximing
LC, Ray
Human-Computer Interaction
LLM-assisted technologies are increasingly used to support cognitive processing and information interpretation, yet their role in aiding memory recall, and how people choose to engage with them, remains underexplored. We studied participants who watched a short robbery video (approximating a one-time eyewitness scenario) and composed recall statements using either a default GPT or a guided GPT prompted with a standardized eyewitness protocol. Results show that, in the default condition, participants who believed they had a clearer understanding of the event were more likely to trust GPT's output, whereas in the guided condition, participants showed stronger alignment between subjective clarity and actual recall. Additionally, participants evaluated the legitimacy of the individuals in the incident differently across conditions. Interaction analysis further revealed that default-GPT users spontaneously developed diverse strategies, including building on existing recollections, requesting potentially missing details, and treating GPT as a recall coach. This work shows how GPT-user interplay can subconsciously shape beliefs and perceptions of remembered events.
title Tell Me What I Missed: Interacting with GPT during Recalling of One-Time Witnessed Events
topic Human-Computer Interaction
url https://arxiv.org/abs/2601.21460