Towards Dialogic and On-Demand Metaphors for Interdisciplinary Reading

要旨

The interdisciplinary field of Human-Computer Interaction (HCI) thrives on productive engagement with different domains, yet this engagement often breaks due to idiosyncratic writing styles and unfamiliar concepts. Inspired by the dialogic model of abstract metaphors, as well as the potential of Large Language Models (LLMs) to produce on-demand support, we investigate the use of metaphors to facilitate engagement between Science and Technology Studies (STS) and System HCI. Our reflective-style survey with early-career HCI researchers (N=48) reported that limited prior exposure to STS research can hinder perceived openness of the work, and ultimately interest in reading. The survey also revealed that metaphors enhance likelihood to continue reading STS papers, and alternative perspectives can build critical thinking skills to mitigate potential risks of LLM-generated metaphors. We lastly offer a specified model of metaphor exchange (within this generative context) that incorporates alternative perspectives to construct shared understanding in interdisciplinary engagement.

著者
Matin Yarmand
University of California San Diego, La Jolla, California, United States
Courtney N. Reed
Loughborough University London, London, United Kingdom
Udayan Tandon
University of California, San Diego, San Diego, California, United States
Eric B.. Hekler
University of California San Diego, San Diego, California, United States
Nadir Weibel
UC San Diego, La Jolla, California, United States
April Yi. Wang
ETH Zurich, Zurich, Switzerland
DOI

10.1145/3706598.3713698

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713698

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technology in Education

G414+G415
6 件の発表
2025-04-28 23:10:00
2025-04-29 00:40:00
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