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Conjoint Measurement for assessing the contributions of different stimulus dimensions within a signal detection framework.

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I will present several experiments demonstrating how conjoint measurement can be used to assess the contributions of multiple dimensions to stimulus choices, wherein the underlying response contributions are estimated through maximum likelihood. Examples will include the stimulus cues that control a color filling-in illusion, interactions between vision and emotion and the contributions of voice and face information to gender perception.

This talk is part of the Craik Club series.

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