This article presents a conceptual framework for human-robot trust which uses computational representations inspired by game theory to represent a definition of trust, derived from social psychology. This conceptual framework generates several testable hypotheses related to human-robot trust. This article examines these hypotheses and a series of experiments we have conducted which both provide support for and also conflict with our framework for trust. We also discuss the methodological challenges associated with investigating trust. The article concludes with a description of the important areas for future research on the topic of human-robot trust.

Alan R. Wagner

Paul Robinette

Ayanna Howard

ACM Transactions on Interactive Intelligent Systems

ACM TRANSACTIONS ON INTERACTIVE INTELLIGENT SYSTEMS (TIIS) 发表有关包含某种形式的机器智能的交互式系统的设计、实现或评估的研究论文。 TIIS 文章来自广泛的研究领域和社区。一篇文章可以采用交互式智能系统的几种互补观点中的任何一种，重点关注：智能技术、用户与系统的交互，或同时关注这两个方面。

ACM Transactions on Interactive Intelligent Systems (TIIS) publishes research papers on the design, implementation, or evaluation of interactive intelligent systems that incorporate some form of machine intelligence. Articles in TIIS come from a wide range of research fields and communities. Each paper may adopt any of several complementary perspectives on interactive intelligent systems, focusing on intelligent technologies, user-system interaction, or both aspects simultaneously.

《ACM Transactions on Interactive Intelligent Systems》 (TIIS) 发表关于交互式智能系统的设计、实现或评估的研究论文，这些系统包含某种形式的机器智能。TIIS 的文章涵盖广泛的研究领域和社区。每篇文章可以从多个互补的视角探讨交互式智能系统，重点关注智能技术、用户与系统的交互，或同时关注这两个方面。

Modeling the Human-Robot Trust Phenomenon

A conceptual framework for human-robot trust is presented which uses computational representations inspired by game theory to represent a definition of trust, derived from social psychology, which generates several testable hypotheses related to human- robot trust.

Category	Quartile
计算机科学	4
计算机科学, 计算机人工智能	4

Modeling the Human-Robot Trust Phenomenon

ivySCI AI Smartly Parses PDF, Answers Researchers' Questions, and Helps You Understand Papers in Seconds

Journal Info

Category	Quartile
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE	2