About
6
Publications
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Introduction
Stefanie Klein works as a research associate and doctoral student at IWM Tübingen in the Everyday Media Lab. Within the research network Human-Agent Interaction she is working on the project "Automated Interaction with Consumers". She investigates how users perceive their interactions with automated agents, particularly text-based dialog systems ("chatbots").
Skills and Expertise
Current institution
Additional affiliations
October 2020 - present
Publications
Publications (6)
People increasingly use large language model (LLM)-based conversational agents to obtain information. However, the information these models provide is not always factually accurate. Thus, it is critical to understand what helps users adequately assess the credibility of the provided information. Here, we report the results of two preregistered expe...
As educational organizations increasingly consider supporting or replacing human chat advisors with chatbots, it is crucial to examine if users perceive a chatbot differently from a human. Chatbots’ conversational features may signal responsiveness and thus improve user responses. To explore this, we conducted three online experiments using a study...
As more and more people regularly interact with chatbots in their everyday lives, it is crucial to understand how users perceive and evaluate them. This study examined whether free text (vs. button) interaction with and social (vs. neutral) error responses of chatbots effectively improve user responses. Using an online experiment (N = 416) in which...
People increasingly use large language model (LLM)-based conversational agents to obtain information. However, the information these models provide is not always factually accurate. Thus, it is critical to understand what helps users adequately assess the credibility of the provided information. Here, we report the results of two preregistered expe...
Communication scholars are increasingly concerned with interactions between humans and communicative agents. These agents, however, are considerably different from digital or social media: They are designed and perceived as life-like communication partners (i.e., as “communicative subjects”), which in turn poses distinct challenges for their empiri...
As conversational user interfaces (CUIs) are increasingly integrated into daily life, ethical and societal concerns about integrated content filtering algorithms emerge. In addressing these concerns, it is essential to know how aware and knowledgeable society is of the algorithms it encounters using CUIs and the extent to which this impacts the att...
