Abstract
Recent advances in interactive large language models like ChatGPT have revolutionized various domains; however, their behavior in natural and role-play conversation settings remains underexplored. In our study, we address this gap by deeply investigating how ChatGPT behaves during conversations in different settings by analyzing its interactions in both a normal way and a role-play setting. We introduce a novel dataset of broad range of human-AI conversations annotated with user motives and model naturalness to examine (i) how humans engage with the conversational AI model, and (ii) how natural are AI model responses. Our study highlights the diversity of user motives when interacting with ChatGPT and variable AI naturalness, showing not only the nuanced dynamics of natural conversations between humans and AI, but also providing new avenues for improving the effectiveness of human-AI communication.
Abstract (translated)
近年来，像ChatGPT这样的交互式大型语言模型在各种领域都取得了重大进展。然而，它们在自然和角色扮演对话场景中的行为仍然没有被充分探讨。在我们的研究中，我们通过深入研究ChatGPT在不同场景中的交互，来填补这一空白。我们引入了一个新的数据集，该数据集包含了人类和AI之间广泛范围的人机对话，并对其进行了用户动机和模型自然性的标注，以研究（i）人类如何与对话AI模型互动，（ii）AI模型的回答是否自然。我们的研究突出了用户在接触ChatGPT时的动机多样性，以及模型自然性的变异性。这不仅揭示了人类和AI之间自然对话的细微动态，而且为提高人类-AI通信的有效性提供了新的途径。
URL
https://arxiv.org/abs/2403.18121
