Signals Beyond Text: Understanding How Accessing Peer Concept Mapping and Commenting Augments Reflective Mind for High-Stake Videos

要旨

In high-stakes domains, deep analytical processing of online videos is essential for decision-making and knowledge acquisition. However, individuals may lack sufficient cognitive resources and triggers to engage in such processes. To address this, we introduce DeepThinkingMap, a collaborative video mapping system with affordances designed to leverage peers' thoughts and comments to promote reflective and critical thinking. Thee design supports collaborative mapping of video concepts and supports open deliberations of personal thoughts over concepts as "thinking nudges" to foster deeper thinking for themselves and others. Through two experimental studies, we investigated the potential of deeper thinking by accessing peers' thoughts in standalone and collaborative information work respectively. Results illustrated that accessing peers' comments enhances personal engagement in reflective and critical thinking, and reinforces their confidence in their correct beliefs toward the video topics. This work contributes to understanding the socio-technical-cognitive mechanism of thinking while accessing peer comments, and presents design implications for information and knowledge work.

著者
Jingxian Liao
UC Davis, Davis, California, United States
Fu-Yin Cherng
National Chung Cheng University, Chiayi, Taiwan
Mrinalini Singh
University of California, Davis, Davis, California, United States
Hao-Chuan Wang
UC Davis, Davis, California, United States
DOI

10.1145/3706598.3713426

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713426

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: High-Stake Situations

G302
7 件の発表
2025-04-28 23:10:00
2025-04-29 00:40:00
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