Doctor Who?: Norms, Care, and Autonomy in the Attitudes of Medical Students Toward AI Pre- and Post-ChatGPT

Andrew Prahl; Kevin Tong Weng Jin

doi:10.30658/hmc.8.8

Doctor Who? Norms, Care, and Autonomy in the Attitudes of Medical Students Toward AI Pre- and Post-ChatGPT

Andrew Prahl^*, Kevin Tong Weng Jin

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

This study adopts the combined TAM-TPB model to investigate attitudes and expectations of machines at a pre-career stage. We study how future doctors (medical students) expect to interact with future AI machinery, what AI usage norms will develop, and beliefs about human and machine autonomy. Semi-structured interviews were conducted. Wave one (N = 20) occurred 6 months prior to the public release of ChatGPT; wave two (N = 25) occurred in the 6 months following. Three themes emerged: AI is tomorrow, wishing for the AI ouvrier, and human contrasts. Two differences were noted preversus post-ChatGPT: (1) participants began to view machinery instead of themselves as the controller of knowledge and (2) participants expressed increased self-confidence if collaborating with a machine. Results and implications for human-machine communication theory are discussed.

Original language	English
Pages (from-to)	163-183
Number of pages	21
Journal	Human-Machine Communication
Volume	8
DOIs	https://doi.org/10.30658/hmc.8.8
Publication status	Published - 2024
Externally published	Yes

Bibliographical note

Publisher Copyright:
Copyright 2024 Authors. Published under a Creative Commons Attribution 4.0 International (CC BY-NC-ND 4.0) license.

ASJC Scopus Subject Areas

Health(social science)
Communication
Social Sciences (miscellaneous)

Keywords

ChatGPT
GenAI
generative artificial intelligence
health care
human-machine communication

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.30658/hmc.8.8

Cite this

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title = "Doctor Who?: Norms, Care, and Autonomy in the Attitudes of Medical Students Toward AI Pre- and Post-ChatGPT",

abstract = "This study adopts the combined TAM-TPB model to investigate attitudes and expectations of machines at a pre-career stage. We study how future doctors (medical students) expect to interact with future AI machinery, what AI usage norms will develop, and beliefs about human and machine autonomy. Semi-structured interviews were conducted. Wave one (N = 20) occurred 6 months prior to the public release of ChatGPT; wave two (N = 25) occurred in the 6 months following. Three themes emerged: AI is tomorrow, wishing for the AI ouvrier, and human contrasts. Two differences were noted preversus post-ChatGPT: (1) participants began to view machinery instead of themselves as the controller of knowledge and (2) participants expressed increased self-confidence if collaborating with a machine. Results and implications for human-machine communication theory are discussed.",

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AU - Prahl, Andrew

AU - Jin, Kevin Tong Weng

PY - 2024

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Doctor Who? Norms, Care, and Autonomy in the Attitudes of Medical Students Toward AI Pre- and Post-ChatGPT

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

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Nanyang Technological University Researchers Have Published New Data on Technology (Doctor Who?: Norms, Care, and Autonomy in the Attitudes of Medical Students Towards AI Pre and Post ChatGPT)

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Doctor Who? Norms, Care, and Autonomy in the Attitudes of Medical Students Toward AI Pre- and Post-ChatGPT

Abstract

Bibliographical note

ASJC Scopus Subject Areas

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Press/Media

Nanyang Technological University Researchers Have Published New Data on Technology (Doctor Who?: Norms, Care, and Autonomy in the Attitudes of Medical Students Towards AI Pre and Post ChatGPT)

Cite this