Title | Toward Interactional Trust for Humans and Automation: Extending Interdependence |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Razin, Yosef, Feigh, Karen |
Conference Name | 2019 IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computing, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) |
Date Published | aug |
Keywords | automated future, Automation, composability, compositionality, Computer Theory and Trust, human computer interaction, human factors, human-automation interaction, human-automation trust, human-robot interaction, integrated interactional approach, interactional trust, interdependence theory, Matrix decomposition, Nash equilibrium, outcome-based trust, psychology, pubcrawl, security of data, social exchange, social psychology, team working, Tools, trust-related concepts, Trusted Computing, trusted teammates, trustworthiness machines |
Abstract | Trust in human-automation interaction is increasingly imperative as AI and robots become ubiquitous at home, school, and work. Interdependence theory allows for the identification of one-on-one interactions that require trust by analyzing the structure of the potential outcomes. This paper synthesizes multiple, formerly disparate research approaches by extending Interdependence theory to create a unified framework for outcome-based trust in human-automation interaction. This framework quantitatively contextualizes validated empirical results from social psychology on relationship formation, stability, and betrayal. It also contributes insights into trust-related concepts, such as power and commitment, which help further our understanding of trustworthy system design. This new integrated interactional approach reveals how trust and trustworthiness machines from merely reliable tools to trusted teammates working hand-in-actuator toward an automated future. |
DOI | 10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00247 |
Citation Key | razin_toward_2019 |