This paper examines how individuals perceive the credibility of content originating from human authors versus content generated by large language models, like the GPT language model family that powers ChatGPT, in different user interface versions. Surprisingly, our results demonstrate that … Continued
Humans anthropomorphize: as a result of our evolved ultrasociality, we see the world through person-colored glasses. In this review, I suggest that an interesting proportion of the extraordinary tool-using abilities shown by humans results from our mistakenly anthropomorphizing and forming … Continued
We live in the age polarization, where conversations on matters of sustainability more often produce acrimony or stalemate than productive action. Better understanding conversation features and their impacts may lead to better innovation, solution-design, and ongoing collaboration. We describe a … Continued
Training Towards Critical Use: Learning to Situate AI Predictions Relative to Human Knowledge arxiv.org A growing body of research has explored how to support humans in making better use of AI-based decision support, including via training and onboarding. Existing research … Continued
Large language models (LLMs) are increasingly capable and prevalent, and can be used to produce creative content. The quality of content is influenced by the prompt used, with more specific prompts that incorporate examples generally producing better results. On from … Continued
The New Book Burners: Academic Tribalism psyarxiv.com In this chapter, we review evidence and examples reflecting an embrace of modern manifestations of book burning among academics. We use the term “book burning” as did Bradbury: both descriptively and metaphorically to … Continued
arxiv.org Recent advancements in large-scale models, such as GPT-4, have showcased remarkable capabilities in addressing standard queries. However, when facing complex problems that require multi-step logical reasoning, their accuracy dramatically decreases. Current research has explored the realm of prompting engineering … Continued
With the increased sophistication of AI technology, humans have the possibility to offload a variety of tasks to algorithms (e.g., to Siri or ChatGPT). Whether and to what extent people engage in such cognitive offloading depends on various factors. In … Continued
Abstract: Understanding code is challenging, especially when working in new and complex development environments. Code comments and documentation can help, but are typically scarce or hard to navigate. Large language models (LLMs) are revolutionizing the process of writing code. Can … Continued
While AI-assisted individual qualitative analysis has been substantially studied, AI-assisted collaborative qualitative analysis (CQA)-a process that involves multiple researchers working together to interpret data-remains relatively unexplored. After identifying CQA practices and design opportunities through formative interviews, we designed and implemented … Continued