Studies and Analyses of Aided Adversarial Decision Making. Phase 2: Research on Human Trust in Automation

@inproceedings{Llinas1998StudiesAA,
  title={Studies and Analyses of Aided Adversarial Decision Making. Phase 2: Research on Human Trust in Automation},
  author={James Llinas and Ann M. Bisantz and Colin G. Drury and Younho Seong and Jiun-Yin Jian},
  year={1998}
}
Abstract : This report describes the second phase of work conducted at the Center for Multi-source Information Fusion at the State University of New York at Buffalo. This work focused on Aided Adversarial Decision Making (AADM) in Information Warfare (IW) environments. Previous work examined informational dependencies and vulnerabilities in AADM to offensive IW operations. In particular, human trust in automated, information warfare environments was identified as a factor which may contribute… 
On the Study of Performance and Trust in Aided, Adversarial Decision Making
TLDR
Ongoing research and experimentation in the Center for Multi-source Information Fusion at the University at Buffalo has been addressing concerns that trust can affect how much people accept and rely on increasingly automated systems.
Making Adversary Decision Modeling Tractable with Intent Inference and Information Fusion 1
TLDR
This paper presents a preliminary composite theory of adversary intent and its descriptive models, to provide a coherent conceptual foundation for addressing adversary decision processes, tasks, and functions, and introduces notional computational models that automatically generate hypotheses about the adversary's intent.
The Effect of Culture on Trust in Automation
TLDR
This is the first set of studies that deal with cultural factors across all the cultural syndromes identified in the literature by comparing trust in the Honor, Face, Dignity cultures and a validated cross-cultural trust measure for measuring trust in automation, and these experiments are the first to study the dynamics of trust across cultures.
Effect of Error Severity on Human Trust in Hybrid Systems
Computerized systems are often employed to support control and decision-making tasks in complex and dynamic environments. Trust or mistrust in these systems has been demonstrated to significantly
Knowledge Acquisition for Adversary Course of Action Prediction Models
TLDR
This paper presents the approaches that the authors are adopting to acquire the knowledge necessary to build models to assist decision makers determine adversary intent, and discusses how the IPB process can assist with knowledge acquisition.
Judgment and Trust in Conjunction with Automated Decision Aids: A Theoretical Model and Empirical Investigation
The importance of understanding and supporting human operators' judgment and decision-making has been recognized in a variety of contexts. Of interest in these systems is the extent to which
A MODEL FOR PREDICTING HUMAN TRUST IN AUTOMATED SYSTEMS
As a result of recent advancements in computer technology, hybrid inspection systems, those in which humans and computers work cooperatively, have found increasing application in quality control
Low-Level Automation as a Pathway to Appropriate Trust in the PED Enterprise : Design of a Collaborative Work Environment
TLDR
This work presents a Collaborative Work Environment for PED operations that includes decisioncentered analytics automation and low-level task automation designed to establish the human-machine dialogue that engenders trust.
Low-level Automation as a Pathway to Appropriate Trust in an Intelligent PED Enterprise: Design of a Collaborative Work Environment
TLDR
This work presents a Collaborative Work Environment for PED operations that includes decisioncentered analytics automation and low-level task automation designed to establish the human-machine dialogue that engenders trust.
...
...