Iona Gessinger , Katie Seaborn , Madeleine Steeds , Benjamin R. Cowan
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ChatGPT and me: First-time and experienced users’ perceptions of ChatGPT’s communicative ability as a dialogue partner
Chatbots like ChatGPT have the potential to produce more natural conversational user interface interactions. Yet, we currently know little about perceptions of ChatGPT as a dialogue partner, and if interaction changes these. Through an online, two-stage, mixed methods study conducted in July 2023, in which first-time and experienced users living in the UK or Ireland engaged in tasks with ChatGPT, we show that interaction improves attitudes towards the system for first-time users, while these attitudes are already positive and stable in experienced users. We further show that first-time users’ perceptions of ChatGPT’s communicative ability (competence, human-likeness, and flexibility) are more dynamic than those of experienced users, although the experienced users’ perceptions also peak post-interaction. When reflecting on their interaction experience with ChatGPT, both groups were positive with little mention of limitations. We discuss the implications of these findings for user perceptions of ChatGPT as a dialogue partner, and highlight the potential risks of uncritical adoption of such technology.
期刊介绍:
The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities.
Research areas relevant to the journal include, but are not limited to:
• Innovative interaction techniques
• Multimodal interaction
• Speech interaction
• Graphic interaction
• Natural language interaction
• Interaction in mobile and embedded systems
• Interface design and evaluation methodologies
• Design and evaluation of innovative interactive systems
• User interface prototyping and management systems
• Ubiquitous computing
• Wearable computers
• Pervasive computing
• Affective computing
• Empirical studies of user behaviour
• Empirical studies of programming and software engineering
• Computer supported cooperative work
• Computer mediated communication
• Virtual reality
• Mixed and augmented Reality
• Intelligent user interfaces
• Presence
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