Attitudinal Change

Attitudinal change research explores how and why opinions shift, focusing on factors influencing this process within individuals and groups. Current investigations utilize diverse methodologies, including computational modeling with large language models (LLMs) to simulate opinion dynamics and virtual reality experiments to study human responses to autonomous vehicles. These studies highlight the impact of factors like social influence, perceived trustworthiness, and contextual cues on attitude formation and modification, offering valuable insights into human behavior and informing the design of more effective communication strategies and technologies. The findings have implications for fields ranging from social psychology and marketing to human-computer interaction and the development of safer and more user-friendly autonomous systems.