Closed-loop adaptive decision support based on automated trust assessment
other
This paper argues that it is important to study issues concerning trust and reliance when developing systems that are intended to augment cognition. Operators often under-rely on the help of a support system that provides advice or that performs certain cognitive tasks autonomously. The decision to rely on support seems to be largely determined by the notion of relative trust. However, this decision to rely on support is not always appropriate, especially when support systems are not perfectly reliable. Because the operators reliability estimations are typically imperfectly aligned or calibrated with the support systems true capabilities, we propose that the aid makes an estimation of the extent of this calibration (under different circumstances) and intervenes accordingly. This system is intended to improve overall performance of the operator-support system as a whole. The possibilities in terms of application of these ideas are explored and an implementation of this concept in an abstract task environment has been used as a case study.
Topics
TNO Identifier
19128
Publisher
Springer
Source title
Proceedings of the Third International Conference on Augmented Cognition (ACI) and 12th International Conference on Human-Computer Interaction (HCI'07), Beijing, P.R. China
Editor(s)
Schmorrow, D.D.
Reeves, L.M.
Reeves, L.M.
Pages
266-275
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