The effects of an expert system on novice and professional decision making with application in deception detection

作者: Jay F. Nunamaker , Matthew Lynn Jensen , Judee K. Burgoon

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摘要: One effective way for organizations to capture expert knowledge and experience is encapsulate it within an system (ES) make that available others. While ES users have access the system's knowledge, they shoulder difficult task of appropriately incorporating recommendations into decision-making process. One proposed application in realm deception detection. Humans are inherently poor at recognizing when occurs their confidence judgments poorly calibrated performance. An has potential significantly improve detection; however, joining a human decision maker creates many important questions must be addressed before such will useful field environment. These concern changes outcomes, processes, result from use. To examine these questions, prototype was created implements new unobtrusive methods Kinesic analysis examines body movement deceiver linguistic reviews structure utterances deceiver. This prototype, complete with explanations, utilized two experiments examined effects accuracy level user training detection, novice or professional lie-catcher status users. Use found rates alignment. Training no effect on rates. Accuracy elevated alignment among novices; this improvement imperceptible novices. Novices using performed equivalent professionals prototype. Neither nor exceeded performance alone. Implications findings include emphasizing development computer-based tools detect defining role tools.

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