Learned Futility: How Social Learning Can Lead to the Diffusion of Ineffective Strategies
Allgemeines
Art der Publikation: Conference Paper
Veröffentlicht auf / in: Human-Computer Interaction International 2024
Jahr: 2024
Band / Volume: 14705
Veröffentlichungsort: Cham
Verlag (Publisher): Springer
DOI: https://doi.org/10.1007/978-3-031-61312-8_9
Autoren
Veronika Kurchyna
Jan Schneider
Bernd Wurpts
Anastasia Golovin
Jan Ole Berndt
Ingo Timm
Zusammenfassung
When facing a crisis, such as a novel type of disease, individuals need to learn about effective health measures and practices to prevent the spread of illness. They do so both through reflection about their own actions as well as the communal experience of their peers. Here, we present an agent-based model to examine the resulting dynamics in the diffusion of health behaviours and practices. In the model, we employ reinforcement learning and bounded confidence opinion dynamics to model varying degrees of external, e.g. social, and internal knowledge gains in the context of protective measures against a novel disease as use case. Our study shows that social influence is critical for the adoption of potentially effective low-cost strategies, while individual learning modes limit the spread of potentially harmful high-cost strategies. On the downside, social learning also facilitates the spread of ineffective or even harmful health measures and practices. Our findings suggest that cultural variation emerges in times of crisis among learning individuals.