M Li, IM Erickson, EV Cross, JD Lee - Human Factors, 2024 - journals.sagepub.com
Objective The objective of this study was to estimate trust from conversations using both lexical and acoustic data. Background As NASA moves to long-duration space exploration …
M Li, IM Erickson, EV Cross… - Proceedings of the …, 2022 - journals.sagepub.com
As NASA moves to long-duration space exploration operations, there is an increasing need for human-agent cooperation that requires real-time trust estimation by virtual agents. Our …
Trust is a fundamental component of human-human and humancomputer interaction. In this work we examine the acousticprosodic features of trust in a corpus of interview dialogues …
The digital revolution births transformation in many facets of today's society. Its adoption in transportation to curb traffic congestion in major cities globally advances smart-city …
Y Yu, SI Levitan - Proc. SpeechProsody 2024, 2024 - isca-archive.org
Trust between conversational partners is critical for effective communication and collaboration. While numerous studies have examined spoken cues to deceptive speech to …
M Belosevic, H Buschmeier - CUI@ CHI 2024: Building Trust in CUIs …, 2024 - cui.acm.org
This paper proposes a linguistic approach to trust in text-based conversational agents, such as LLM-based chatbots like ChatGPT. We argue that linguistic indicators of trust in human …
Artificial Intelligence (AI), with its increasing capability and connectivity, extends beyond limited and well-defined contexts and is integrated into broader societal domains. Examples …