Applied Computer Diagnostics — Theoretical Foundations and Future Perspectives

The paper reviews and discusses a number of issues relating to the use of computer technology to assist the process of assessing psychologically relevant variables — computer-assisted diagnostics. A definition of computer-assisted diagnostics is given and theoretical developments are discussed. The paper emphasizes the need to consider theoretical issues relating to a number of domains: theory of content, test theory, human—computer interaction, programming theory, instructional theory, normative theory and situation theory. The paper concludes with a view of the current situation and future perspectives, and describes some important ethical issues.     

Modulation of additive and interactive effects by trial history revisited

Masson and Kliegl (Journal of Experimental Psychology: Learning, Memory, and Cognition, 39, 898–914, 2013) reported evidence that the nature of the target stimulus on the previous trial of a lexical decision task modulates the effects of independent variables on the current trial, including additive versus interactive effects of word frequency and stimulus quality. In contrast, recent reanalyses of previously published data from experiments that, unlike the Masson and Kliegl experiments, did not include semantic priming as a factor, found no evidence for modulation of additive effects of frequency and stimulus quality by trial history (Balota, Aschenbrenner, & Yap, Journal of Experimental Psychology: Learning, Memory, and Cognition, 39, 1563–1571, 2013; O’Malley & Besner, Journal of Experimental Psychology: Learning, Memory, and Cognition, 34, 1400–1411, 2013). We report two experiments that included semantic priming as a factor and that attempted to replicate the modulatory effects found by Masson and Kliegl. In neither experiment was additivity of frequency and stimulus quality modulated by trial history, converging with the findings reported by Balota et al. and O’Malley and Besner. Other modulatory influences of trial history, however, were replicated in the new experiments and reflect potential trial-by-trial alterations in decision processes.     

An Adaptive Algorithm for Pairwise Comparison‐based Preference Measurement

The Pairwise Comparison‐based Preference Measurement (PCPM) approach has been proposed for products featuring a large number of attributes. In the PCPM framework, a static two‐cyclic design is used to reduce the number of pairwise comparisons. However, adaptive questioning routines that maximize the information gained from pairwise comparisons promise to further increase the efficiency of this approach. This paper introduces a new adaptive algorithm for PCPM, which accounts for several response errors. The suggested approach is compared with an adaptive algorithm that was proposed for the Analytic Hierarchy Process as well as a random selection of pairwise comparisons. By means of Monte Carlo simulations, we quantify the extent to which the adaptive selection of pairwise comparisons increases the efficiency of the respective approach. Copyright © 2011 John Wiley & Sons, Ltd.     

Synchronizing movements with the metronome: nonlinear error correction and unstable periodic orbits.

The control of human hand movements is investigated in a simple synchronization task. We propose and analyze a stochastic model based on nonlinear error correction; a mechanism which implies the existence of unstable periodic orbits. This prediction is tested in an experiment with human subjects. We find that our experimental data are in good agreement with numerical simulations of our theoretical model. These results suggest that feedback control of the human motor systems shows nonlinear behavior.