Collaborative Upstanding: Exploring Conversational Strategies for Cyberbullying Upstanding Education

要旨

Bystander intervention, or upstanding, is an effective antidote to cyberbullying, but entails many challenges (e.g. self-efficacy, not knowing what to do or how to upstand). Through two studies, this paper investigates collaborative upstanding, examining how a conversational partner (human or AI) can guide bystanders through these challenges in-situ. In a paired role-play study (n=24), we found that bystanders faced significant challenges in how to intervene. Even after deciding to act, how-to challenges often reignited doubts about their self-efficacy and responsibility. Using these insights, we designed ConCUR, a chatbot that (1) encourages bystanders to co-author an upstanding message, leading them to confront how-to challenges sooner, and (2) addresses how-to challenges simultaneously with other challenges that are introduced through a flexible process. Our second study (n=20) suggests such a chatbot is effective in promoting upstanding behavior in the lab setting. We discuss the implications of in-situ collaborative upstanding to upstanding education research, framing upstanding as an iterative and flexible process rather than sequential.

著者
Haesoo Kim
Cornell University, Ithaca, New York, United States
Nader Akoury
Cornell University, Ithaca, New York, United States
Julia A. Sebastien
Cornell College of Agriculture and Life Sciences, Ithaca, New York, United States
S. Isabelle McLeod Daphnis
Cornell University, Ithaca, New York, United States
Ryun Shim
Cornell University, Ithaca, New York, United States
Natalie Bazarova
Cornell University, Ithaca, New York, United States
Qian Yang
Cornell University, Ithaca, New York, United States

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Social Media Discourse and Online Harms

P1 - Room 119
7 件の発表
2026-04-17 20:15:00
2026-04-17 21:45:00