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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 operators utilize and trust such systems, particularly where operators do not have any means to access the environment directly. Operators' trust in automated decision aids is the critical component affecting their performance in estimating the environmental states. A model of human operators' judgment with automated decision aids was developed using the Lens Model framework. This model shows not only different characteristics of automated decision aids, but also the representation of operators' judgment policy. An empirical investigation on operators' judgment performance and trust in conjunction with automated decision aids is described in this research. Among the potential characteristics of such systems that may affect operators' judgment performance and trust, three aspects were controlled. Results provide strong support for factors in the theoretical framework and for identification of the types of information to increase the level of operators' understanding.

Visual inspection plays a very important role in ensuring quality in the manufacturing and service industries. Two determinants of inspection performance are visual search and decision-making. Improvement in any one of the components will have an impact on system performance. Job-aids, accompanied by training, have proven to be effective in enhancing accuracy and reducing search time in visual inspection systems. This article aims to investigate the effects of search strategy along with task complexity and pacing on inspection performance using a job-aiding tool. To facilitate the experiments, an enhanced job-aiding tool in a simulated visual inspection environment was developed. This tool enables an inspector to track his or her search path in visual inspection systems. A pilot study and two experiments were conducted using this tool. The pilot study examined the effectiveness of the job-aiding tool. The first experiment studied the effect of search strategy and task complexity on inspection system performance and the second experiment studied the impact of search strategy, task complexity, and pacing on system performance. Results from this research can be used to better design an inspection system. C 2007 Wiley Periodicals, Inc.

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