All author's publications are listed below.
4 publications found
Two studies, using real-time response measurement and interviews, explore how German recipients assess the trustworthiness of a voice-based communicative AI conveying science-related information with empathic and humorous expressions. In both a laboratory and an online study, humor was associated with short-term declines in trustworthiness, reflecting cultural expectations and appreciation of objectivity and neutrality. In contrast, empathic expressions are rated more trustworthy, but evoke less conspicuous effects. Cluster analysis identified four distinct patterns of evaluation, with two groups largely unaffected by affective cues and two skeptical of humor, underscoring the importance of personalization and adaptation in designing trustworthy communicative AI for science communication.
This study explores the role of ChatGPT in science-related information retrieval, building on research conducted in 2023. Drawing on online survey data from seven countries—Australia, Denmark, Germany, Israel, South Korea, Taiwan, and the United States—and two data collection points (2023 and 2024), the study highlights ChatGPT’s growing role as an information intermediary, reflecting the rapid diffusion of generative AI (GenAI) in general. While GenAI adoption is a global phenomenon, distinct regional variations emerge in the use of ChatGPT for science-related searches. Additionally, the study finds that a specific subset of the population is more likely to use ChatGPT for science-related information retrieval. Across all countries surveyed, science-information seekers report higher levels of trust in GenAI compared to non-users. They also exhibit a stronger understanding of how (Gen)AI works and, with some notable exceptions, show greater awareness of its epistemic limitations.