Jump to ContentJump to Main Navigation
Adaptive Perspectives on Human–Technology InteractionMethods and Models for Cognitive Engineering and Human-Computer Interaction$
Users without a subscription are not able to see the full content.

Alex Kirlik

Print publication date: 2009

Print ISBN-13: 9780195374827

Published to Oxford Scholarship Online: March 2012

DOI: 10.1093/acprof:oso/9780195374827.001.0001

Show Summary Details
Page of

PRINTED FROM OXFORD SCHOLARSHIP ONLINE (www.oxfordscholarship.com). (c) Copyright Oxford University Press, 2019. All Rights Reserved. Under the terms of the licence agreement, an individual user may print out a PDF of a single chapter of a monograph in OSO for personal use (for details see www.oxfordscholarship.com/page/privacy-policy).date: 21 July 2019

Trust, Automation, and Feedback: An Integrated Approach

Trust, Automation, and Feedback: An Integrated Approach

Chapter:
(p.105) 8 Trust, Automation, and Feedback: An Integrated Approach
Source:
Adaptive Perspectives on Human–Technology Interaction
Author(s):

Younho Seong

Ann M. Bisantz

Gordon J. Gattie

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780195374827.003.0010

This chapter reviews research in which an integrative framework, based on the lens model, was developed. The framework characterizes aspects of automated systems that affect human trust in those systems and allows assessment of aspects of human trust through the application of lens modeling outcomes. Implications are drawn from an empirical study that relied on this integrative framework and are provided for the design of training systems and displays. Specifically, the chapter addresses the situation in which human judgments are not only made in concert with automation but also in part on the basis of the information provided by an automated decision aid. It is shown that the developed framework along with the companion experiment demonstrate both theoretically and empirically how outcomes from the lens model can be expanded beyond their traditional applications toward improving judgment performance in a single-judge system. In particular, meta-information based on concepts of cognitive feedback can be used in a feedforward manner to provide information about an agent's judgment policies and performance to other agents in a multiagent judgment system. This framework also has particular implications for systems composed of humans and automated judgment agents.

Keywords:   integrative framework, lens model, automation, human trust, cognitive feedback, human judgments

Oxford Scholarship Online requires a subscription or purchase to access the full text of books within the service. Public users can however freely search the site and view the abstracts and keywords for each book and chapter.

Please, subscribe or login to access full text content.

If you think you should have access to this title, please contact your librarian.

To troubleshoot, please check our FAQs , and if you can't find the answer there, please contact us .