Contour-based object identification and segmentation: stimuli, norms and data, and software tools.

We summarize five studies of our large-scale research program, in which we examined aspects of contour-based object identification and segmentation, and we report on the stimuli we used, the norms and data we collected, and the software tools we developed. The stimuli were outlines derived from the standard set of line drawings of everyday objects by Snodgrass and Vanderwart (1980). We used contour curvature as a major variable in all the studies. The total number of 1,500 participants produced very solid, normative identification rates of silhouettes and contours, straight-line versions, and fragmented versions, and quite reliable benchmark data about saliency of points and object segmentation into parts. We also developed several software tools to generate stimuli and to analyze the data in nonstandard ways. Our stimuli, norms and data, and software tools have great potential for further exploration of factors influencing contour-based object identification, and are also useful for researchers in many different disciplines (including computer vision) on a wide variety of research topics (e.g., priming, agnosia, perceptual organization, and picture naming). The full set of norms, data, and stimuli may be downloaded from www.psychonomic.org/archive/.     

Verb subcategorization frequencies: American English corpus data, methodological studies, and cross-corpus comparisons.

Verb subcategorization frequencies (verb biases) have been widely studied in psycholinguistics and play an important role in human sentence processing. Yet available resources on subcategorization frequencies suffer from limited coverage, limited ecological validity, and divergent coding criteria. Prior estimates of verb transitivity, for example, vary widely with corpus size, coverage, and coding criteria This article provides norming data for 281 verbs of interest to psycholinguistic research, sampled from a corpus of American English, along with a detailed coding manual. We examine the effect on transitivity bias of various coding decisions and methods of computing verb biases.     

Perception, models, and data: Some comments

Some comments are offered on the papers given at the conference, which are divided into three groups: visual perception, models and neural networks, and data analysis. The analysis stresses the complexity faced by scientific theories in each of these three areas, and consequently why the demand for computing capacity will continue to increase, with no practical bound in sight.     

The 'golden rectangle': some new data.

From two different series of dimensions were generated six ranges of nine rectangles each. Each range was presented to a different group of 15 men and 15 women, and a novel measure was used to assess aesthetic preference for each rectangle. The ratios between the lengths of the sides of the rectangles were the same in both series, but in one series the size of the rectangles covaried with the ratio between length and width, as in Godkewitsch's 1974 study, and in the other series the rectangles were of equal area. The subjects tended to prefer large to small rectangles in the former series and rectangles in the vicinity of the 'golden section' in the latter.     

Optimal data selection: Revision,review, and reevaluation

Since it first appeared, there has been much research and critical discussion on the theory of optimal data selection as an explanation of Wason’s (1966, 1968) selection task (Oaksford & Chater, 1994). In this paper, this literature is reviewed, and the theory of optimal data selection is reevaluated in its light. The information gain model is first located in the current theoretical debate in the psychology of reasoning concerning dual processes in human reasoning. A model comparison exercise is then presented that compares a revised version of the model with its theoretical competitors. Tests of the novel predictions of the model are then reviewed. This section also reviews experiments claimed not to be consistent with optimal data selection. Finally, theoretical criticisms of optimal data selection are discussed. It is argued either that the revised model accounts for them or that they do not stand up under analysis. It is concluded that some version of the optimal data selection model still provides the best account of the selection task. Consequently, the conclusion of Oaksford and Chater’s (1994) original rational analysis (Anderson, 1990), that people’s hypothesis-testing behavior on this task is rational and well adapted to the environment, still stands.     

Graphics in psychology: Pictures,data, and especially concepts

Over the last 50 years, psychologists have included numerous graphics in their journals and textbooks. The textbooks have contained mostly pictures, whereas the journals have contained mostly data graphs. Surprisingly, conceptual graphs (such as a network chart of the relations among types of memory) have been very infrequent. There are two main reasons for this absence of conceptual graphs: a lack of awareness of the important role that they have played in the history of our discipline, and a lack of knowledge about how to make them. Four types of conceptual graphs are presented here: mathematical graphs (e.g., Fechner’s law), geometric models (e.g., Henning’s smell prism), networks (e.g., Atkinson and Shiffrin’s STM-LTM model), and EulerVenn graphs (e.g., Shiffrin and Schneider’s model of control and automatic processes). Suggestions are offered forheuristics that can be used to facilitate the perception of conceptual relations in these graphs. It is argued that appropriate conceptual graphs can help researchers and theorists communicate the “big picture” relevant to their ideas, can help educators more effectively communicate with students, and may help clinical psychologists communicate their ideas to clients better.     

Statistics,data analysis and Psychometrika: Major developments

Approximately 15% of all papers appearing inPsychometrika during the period 1960–1984 have been statistical or data analytic in nature. While these papers cover a very wide range of issues and are technically quite similar to those appearing in other major statistical journals, collectively they possess features which make them identifiablyPsychometrika.     

Cognitive arithmetic: a review of data and theory.

The area of cognitive arithmetic is concerned with the mental representation of number and arithmetic, and the processes and procedures that access and use this knowledge. In this article, I provide a tutorial review of the area, first discussing the four basic empirical effects that characterize the evidence on cognitive arithmetic: the effects of problem size or difficulty, errors, relatedness, and strategies of processing. I then review three current models of simple arithmetic processing and the empirical reports that support or challenge their explanations. The third section of the review discusses the relationship between basic fact retrieval and a rule-based component or system, and considers current evidence and proposals on the overall architecture of the cognitive arithmetic system. The review concludes with a final set of speculations about the all-pervasive problem difficulty effect, still a central puzzle in the field.     

Intuition,intelligence, data compression

The main goal of my paper is to argue that data compression is a necessary condition for intelligence. One key motivation for this proposal stems from a paradox about intuition and intelligence. For the purposes of this paper, it will be useful to consider playing board games—such as chess and Go—as a paradigm of problem solving and cognition, and computer programs as a model of human cognition. I first describe the basic components of computer programs that play board games, namely value functions and search functions. I then argue that value functions both play the same role as intuition in humans and work in essentially the same way. However, as will become apparent, using an ordinary value function is just a simpler and less accurate form of relying on a database or lookup table. This raises our paradox, since reliance on intuition is usually considered to manifest intelligence, whereas usage of a lookup table is not. I therefore introduce another condition for intelligence that is related to data compression. This proposal allows that even reliance on a perfectly accurate lookup table can be nonintelligent, while retaining the claim that reliance on intuition can be highly intelligent. My account is not just theoretically plausible, but it also captures a crucial empirical constraint. This is because all systems with limited resources that solve complex problems—and hence, all cognitive systems—need to compress data.

     

Fine points aside: data are data

Movement responses by 5 1/2- to 6 1/2-year-old children on the Holtzman Inkblot Test were reported on by Lockwood et al. in volume 45 of this Journal. Criticism of the findings discussed in that article by J. Swartz, Reinehr, and C. Swartz was published in the December, 1981, volume of the Journal. The present article rebuts their criticism and emphasizes the significance of the original findings which reflect new and highly discrepant normative M response data from that previously available.     

Discontinuities and singularities,data and phenomena: for Referentialism

Synthese - The paper rebuts a currently popular criticism against a certain take on the referential role of discontinuities and singularities in the physics of first-order phase transitions. It...     

The neuropsychology of visual image generation: data, method, and theory

This paper presents a review of the empirical evidence bearing on the localization of the image-generation process in cerebral structures and examines several issues related to the study of functional hemispheric asymmetry. In spite of recent claims that the left hemisphere is specialized for the generation of mental visual images, an examination of the relevant data and experimental procedures provides little support for this view and suggests that both hemispheres simultaneously and conjointly contribute to this process. Methodological and theoretical issues related to the localization of functions in the brain, some assumptions guiding laterality research, and computational models of cerebral lateralization are briefly discussed.     

Reliability analysis of observational data: Problems,solutions, and software implementation

In the reliability analysis literature, little attention has been given to the various possible ways of creating a basis for the comparison required to compute observer agreement. One needs this comparison to turn a sequential list of behavioral records into a confusion matrix. It is shown that the way to do this depends on the research question one needs to answer. Four methods for creating a basis for comparison for the computation of observer agreement in observational data are presented. Guidelines are given for computing observer agreement in a way that fits one’s goals. Finally, we discuss how these methods have been implemented in The Observer software. The Observer 4.1 supports all the methods that have been discussed. Most of these methods are not present in any other software package.     

Intensity dependence of perceived duration: data, theories, and neural integration

Evaluates 2 theoretical models suggested to explain studies of the effect of stimulus intensity on the perceived duration of brief light flashes. Some studies found a direct relationship between the 2 variables; others found an indirect relationship. Each model suggests that an additional variable interacts with stimulus intensity. Proposed variables have included the nature of the judgment and the absolute intensity. The present evaluation indicates that both of the proposed variables play a role and that a melding of the models could best account for this phenomenon. The melding incorporates known time- and intensity-dependent characteristics of neural integration into the behavioral performance. The evaluation also indicates that future experiments on this problem will be most informative if they (a) give particular attention to the role of instructions, (b) explore an adequate range of intensities, and (c) strictly control adaptive state.     

Perceptual identification, fragment completion, and free recall: concepts and data

The effects of orthographically distinctive and orthographically common words were compared on tests of free recall, fragment completion, perceptual identification, and lexical decision. Orthographic distinctiveness is argued to effect data-driven processing and, in light of recent theory, should have little effect upon free recall but substantial effects upon fragment completion and perceptual identification. The results showed superior recall and fragment completion of orthographically distinctive words but more accurate perceptual identification of orthographically common words. Latency of lexical decision was longer for orthographically distinctive than for orthographically common words. The visual complexity of orthographically distinctive words may require more extensive sensory processing than is possible within the temporal constraints of perceptual identification tests. The effect of orthographic distinctiveness upon free recall reveals a certain inadequacy in the notion of transfer-appropriate processing.