Nonhuman situational enmeshments—How participants build temporal infrastructures for ChatGPT
Abstract This paper investigates how participants recruit Large Language Models (LLMs) like ChatGPT as interactional co‐participants depending on their temporal enmeshment within an interactional flow. Using Charles Goodwin's co‐operative action framework, we analyze video data of human–AI interaction to trace the temporal structures established by ...
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Tobacco imagery in prime-time television in Spain: A content analysis. [PDF]
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Knowledge of genetic effects of radiation exposure in Fukushima after the nuclear accident in relation to health literacy. [PDF]
Tsuchiya N, Nakayama C, Yasumura S.
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Targeting men to improve maternal and child health and nutrition: A qualitative process evaluation of a mass media campaign in Tanzania's Lake Zone. [PDF]
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Montgomery LI, Krichbaum S, Katz JS.
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Schaller S.
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