Computer-based systems for applying psychological knowledge

Computer-based systems have long been seen as a means for applying psychological knowledge to instructing. However, from many years of research and development on instructional design and on using computers for instructing, we learned that the current instructional techniques are based on an inadequate scientific knowledge base and are poorly implemented. In order to do better, improved techniques based on modern cognitive science must be developed, and computer-based aids are needed to assist their application. Furthermore, a standardization and distribution system is needed to identify effective instructional programs and make them available. This seems especially important if we hope to have broad impact on education and training.     

Recognition memory as a function of encoding strategy and stimulus codability.

The primary purpose of this research was to determine how imaginal and verbal encoding strategies intereact with various stimulus characteristics to either enhance or retard recognition; the secondary purpose of these studies was to test the conceptual coding hypothesis of Ellis, 1972. A between-groups multivariate factorial analysis of covariance experiment and a within-subjects multivariate factorial analysis of variance experiment were conducted. In Experiment 1 it was found that low-codability shapes were better recognized under the verbal encoding set rather than the imaginal encoding verbal encoding sets; and high-codability shapes were not better recognized than low-codability shapes. However, in Experiment 2, where instructional set was a within-subjects factor, it was found that low-codability shapes were not better recognized under the verbal encoding set than the imaginal encoding set.     

Perceived age and sex characteristics of voices of institutionalized children with Down's syndrome.

It was hypothesized that the voices of children with Down's syndrome would be perceived as younger than their true chronological age and that perceptual auditors would have considerable difficulty in identifying the correct sex of these children by voice alone. Perceived age and sex were investigated in 20 institutional children with Down's syndrome who were matched for sex and age with a control group of 20 normal children. Randomized matched verbal samples were played backwards to a group of 16 listener/judges who rated the samples as to age and sex. The results indicated that the voices of these Down syndrome children were perceived as being more than 2 yr. younger than their group mean age and that there was a negative correlation between the biological sex of such children and their perceived sex.     

Computational psychiatry

Computational ideas pervade many areas of science and have an integrative explanatory role in neuroscience and cognitive science. However, computational depictions of cognitive function have had surprisingly little impact on the way we assess mental illness because diseases of the mind have not been systematically conceptualized in computational terms. Here, we outline goals and nascent efforts in the new field of computational psychiatry, which seeks to characterize mental dysfunction in terms of aberrant computations over multiple scales. We highlight early efforts in this area that employ reinforcement learning and game theoretic frameworks to elucidate decision-making in health and disease. Looking forwards, we emphasize a need for theory development and large-scale computational phenotyping in human subjects.