Walter Schneider’s research while affiliated with University of Illinois Chicago and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (6)


Categorization (Restructuring) and Automatization. Two Separable Factors
  • Article
  • Full-text available

July 1985

·

170 Reads

·

52 Citations

Walter Schneider

·

Comments on P. W. Cheng's (see record 1985-29947-001) hypothesis concerning categorization as an explanation of improved task performance that was presented as an alternative to the automatization hypothesis of the present authors (see PA, Vol 58:305; see also Shiffrin and Schneider, PA, Vol 57:4785). The present authors note that they carried out several critical studies showing that the categorization hypothesis was correct but also showing conclusively that it and several related hypotheses were insufficient to explain a number of key findings. The authors reiterate evidence providing a definitive demonstration of automatization. (13 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)

Download

Automatic and controlled processing revisited

April 1984

·

5,145 Reads

·

316 Citations

The authors range from irrelevant to incorrect, based on a brief review of data from the present authors' 2 articles and on more recent publications. The evidence Ryan discusses comes from the prememorized-list paradigm, a paradigm that undoubtedly involves automatic and controlled processes but probably not automatic detection and controlled search. It is suggested that a variety of mechanisms consistent with the authors' general theory, some automatic and some controlled, could be operating in the prememorized-list paradigm and can explain the observed results. (32 ref)


Automatic/Control Processing and Attention

April 1982

·

304 Reads

·

257 Citations

Automatic/controlled processing theory is reviewed with emphasis on applications to research on attention. Automatic/controlled processing theory assumes that human performance is the result of two qualitatively different processes; automatic and controlled processing. Automatic processing is a fast, parallel process not limited by short term memory. Automatic processing uses little subject effort, permits little direct subject control, but requires extensive and consistent training to develop. Controlled processing is a comparatively slow, serial process limited by short term memory. Controlled processing requires subject effort, permits a large degree of subject control, but needs little training to develop. Attention paradigms discussed include selective attention, focused attention, and attentional capacity. Conclusions from the application of automatic and controlled processing determines performance; paradigms suggest that: (1) performance differs to the degree that automatic or controlled processing determines performance; (2) performance improves with extensive consistent practice; (3) automatic processes are difficult to control; and (4) capacity reductions primarily harm controlled processing. The development of automatic processing is examined, and performance is seen to improve as a function of consistent executions.


Table 1 Examples of CM and VM Trials for Four Successive Trials Trial Memory set Distractor set Target
Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory

March 1977

·

9,538 Reads

·

7,503 Citations

Tested the 2-process theory of detection, search, and attention presented by the current authors (1977) in a series of experiments. The studies (a) demonstrate the qualitative difference between 2 modes of information processing: automatic detection and controlled search; (b) trace the course of the learning of automatic detection, of categories, and of automatic-attention responses; and (c) show the dependence of automatic detection on attending responses and demonstrate how such responses interrupt controlled processing and interfere with the focusing of attention. The learning of categories is shown to improve controlled search performance. A general framework for human information processing is proposed. The framework emphasizes the roles of automatic and controlled processing. The theory is compared to and contrasted with extant models of search and attention. (31/2 p ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)



Controlled and automatic human information processing: I. Detection, search, and attention

January 1977

·

12,051 Reads

·

5,645 Citations

A 2-process theory of human information processing is proposed and applied to detection, search, and attention phenomena. Automatic processing is activation of a learned sequence of elements in long-term memory that is initiated by appropriate inputs and then proceeds automatically--without S control, without stressing the capacity limitations of the system, and without necessarily demanding attention. Controlled processing is a temporary activation of a sequence of elements that can be set up quickly and easily but requires attention, is capacity-limited (usually serial in nature), and is controlled by the S. A series of studies, with approximately 8 Ss, using both reaction time and accuracy measures is presented, which traces these concepts in the form of automatic detection and controlled search through the areas of detection, search, and attention. Results in these areas are shown to arise from common mechanisms. Automatic detection is shown to develop following consistent mapping of stimuli to responses over trials. Controlled search was utilized in varied-mapping paradigms, and in the present studies, it took the form of serial, terminating search. (60 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)

Citations (6)


... In cognitive psychology, attention is conceptualized as the calibration of activity toward a specific goal, thereby enhancing efficiency in the collection and execution of information (selectivity, accuracy, speed) for a given task [77,90,76,84,148,30,91,26,108,45]. During task execution, attention is managed by the central nervous system, which determines the relevance of internal information (such as knowledge or schemas) that ensures execution quality. ...

Reference:

Intra-neuronal attention within language models Relationships between activation and semantics
Controlled and automatic human information processing: I. Detection, search and attention
  • Citing Article
  • January 1977

... The human visual system has a finite amount of visual attention resources used to view the data presented on a computer screen (Schneider, Dumais, & Shiffrin, 1982). Hence, the human visual system is one of the major bottlenecks of information flows between a computer system to a human analyst (refer the Communication-Human Information Processing (C-HIP) model for details (Dejoy, et al., 1999)). ...

Automatic/Control Processing and Attention
  • Citing Article
  • April 1982

... The world is governed by physical laws that dictate the movement, interaction, and transformation of matter. Humans acquire knowledge by perceiving and observing the physical world, enabling a deep understanding of their surroundings-an essential aspect of human intuitive physics [35,37,58,62,64]. Objects serve as the fundamental units of human perception, cognition, and reasoning. ...

Controlled and automatic human information processing: II. Perceptual learning, automatic attending and a general theory

... • Confirmation bias: seeking and valuing information that supports existing beliefs while disregarding contradictory evidence [36]. • Overlearning and rigidity in skill performance: observed in contexts where overrehearsal leads to loss of flexibility [37]. ...

Controlled and automatic human information processing: I. Detection, search, and attention

... A second potential form of learning in CM is learning that all the target items are the members of a single category with a common (perhaps implicit) label and that all the foil items are members of a separate category (e.g., Cheng, 1985;Logan & Stadler, 1991;Schneider & Shiffrin, 1985;. The latter kind of learning is typical of concept and category learning that takes place in life after a great deal of experience-a category label encodes a category, and the encoding involves more than standing for a list of the category members. ...

Categorization (Restructuring) and Automatization. Two Separable Factors

... A recent study (Mill & Cole, 2023) further elucidated this difference by showing that performing on novel tasks required subcortical regions to temporally bind task elements together into a conjunction, whereas implementing practiced tasks replied more on prefrontal cortex to retrieve the conjunction that was already formed in long-term memory, thus facilitating the task performance in practiced tasks. The above presented neural evidence also parallels the distinction between controlled and automatic processing proposed by Shiffrin & Schneider (1984). That is, during task configuration, practiced tasks can rely on automatic task retrieval from long term memory, whereas novel tasks have to be composed in working memory and guided by top-down control on the fly. ...

Automatic and controlled processing revisited