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2007
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Aiding Human Reliance Decision Making Using Computational Models of Trust

11 years 11 months ago
Aiding Human Reliance Decision Making Using Computational Models of Trust
This paper involves a human-agent system in which there is an operator charged with a pattern recognition task, using an automated decision aid. The objective is to make this human-agent system operate as effectively as possible. Effectiveness is gained by an increase of appropriate reliance on the operator and the aid. We studied whether it is possible to contribute to this objective by, apart from the operator, letting the aid as well calibrate trust in order to make reliance decisions. In addition, the aid’s calibration of trust in reliance decision making capabilities of both the operator and itself is also expected to contribute, through reliance decision making on a metalevel, which we call metareliance decision making. In this paper we present a formalization of these two approaches: a reliance (RDMM) and metareliance decision making model (MetaRDMM), respectively. A combination of laboratory and simulation experiments shows significant improvements compared to reliance deci...
Peter-Paul van Maanen, Tomas Klos, Kees van Dongen
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where IAT
Authors Peter-Paul van Maanen, Tomas Klos, Kees van Dongen
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