Paul A. Luce, Ph.D.
Summary of Research Interests
Work in our laboratory is aimed at understanding the processes and representations involved in the human’s remarkable capacity to recognize spoken language so rapidly and accurately. In particular, we are interested in the processes and representations that support spoken word recognition.
Our work on processing focuses primarily on two models of spoken word recognition: The Neighborhood Activation Model and PARSYN. These models attempt to account for the nature of lexical activation and competition, as well as the role of probabilistic phonotactics.
Our work on representation examines the nature of sound-based representations in the mental lexicon, in particular their abstractness and specificity.
- Lambert, B. L., Dickey, L. W., Fisher, W. M, Gibbons, R. D., Lin. S.-W., Luce, P. A., McLennan, C. T., , Senders.J. W., & Yu, C. T. (2010). Listen carefully: The risk of error in spoken medication orders. Social Science & Medicine.
- Clarke-Davidson, C. M., Luce, P. A., & Sawusch, J. R. (2008). Does perceptual learning in speech reflect changes in phonetic category representation or decision bias? Perception & Psychophysics, 70 (4), 604-618.
- McLennan, C. T., & Luce, P. A. (2005). Examining the time course of indexical specificity effects in spoken word recognition. Journal of Experimental Psychology: Learning, Memory, and Cognition, 31, 306-321.
- McLennan, C., Luce, P. A., & Charles-Luce, J. (2003) Representation of lexical form. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 529-553.
- Vitevitch, M. S., & Luce, P. A. (1999). Probabilistic phonotactics and neighborhood activation in spoken word recognition. Journal of Memory and Language, 40, 374-408.
- Luce, P. A., & Pisoni, D. B. (1998). Recognizing spoken words: The neighborhood activation model. Ear and Hearing, 19, 1-36.