HCAICLJan 12, 2024

What should I say? -- Interacting with AI and Natural Language Interfaces

arXiv:2401.06382v12.71 citationsh-index: 1
Originality Synthesis-oriented
AI Analysis

This addresses the challenge of improving human-AI communication for users, but it appears to be an incremental exploration within the HAI field.

The paper tackles the problem of how humans interact with AI through natural language interfaces, focusing on the lack of understanding regarding theory of mind representations in these interactions, but it does not report any specific results or concrete numbers.

As Artificial Intelligence (AI) technology becomes more and more prevalent, it becomes increasingly important to explore how we as humans interact with AI. The Human-AI Interaction (HAI) sub-field has emerged from the Human-Computer Interaction (HCI) field and aims to examine this very notion. Many interaction patterns have been implemented without fully understanding the changes in required cognition as well as the cognitive science implications of using these alternative interfaces that aim to be more human-like in nature. Prior research suggests that theory of mind representations are crucial to successful and effortless communication, however very little is understood when it comes to how theory of mind representations are established when interacting with AI.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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