Affiliation:
1. University of Alabama in Huntsville, Huntsville, AL, USA
Abstract
Few advancements in Artificial Intelligence (AI) have seemed to be quite as captivating for the public as was the release of ChatGPT by OpenAI. This chatbot has been able to provide remarkably accurate answers to factual questions, write workable code in a variety of programming languages, and generate human-like text passages on any number of topics. Because, at the time of writing, this technology is so new, there is a need to understand the capabilities and limitations of the system. This includes understanding the nature of collaborative and iterative writing. This paper reviews an attempt to write a conference proceedings paper on the ways in which to use ChatGPT to study human-AI interaction. Evaluation of output and the iterative processes required shows the strengths of ChatGPT’s context awareness, while highlighting its limitations in attempts to provide academic references. Additionally, metrics of passage similarity to prior passages is assessed.
Subject
General Medicine,General Chemistry
Reference22 articles.
1. Learning and development of trust, acceptance and the mental model of ACC. A longitudinal on-road study
2. My AI Friend: How Users of a Social Chatbot Understand Their Human–AI Friendship
3. chatGPT [@openaicommunity]. (2022, December 8). The server is currently not performing optimally due to the exponential growth of users in recent days. [Tweet]. Twitter. https://twitter.com/openaicommunity/status/1600988761197715462?cxt=HHwWjICpifiy7bcsAAAA
4. Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献