The impact of response frequency on spatial stimulus–response correspondence effects

2015 ◽  
Vol 162 ◽  
pp. 13-19 ◽  
Author(s):  
Peter Wühr ◽  
Herbert Heuer
Keyword(s):  
Response Frequency ◽  
Stimulus Response ◽  
Spatial Stimulus ◽  
Correspondence Effects ◽  
The Impact

scholarly journals Effects of acoustic warning signal intensity in the control of visuospatial interference

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Paola Cappucci ◽  
Ángel Correa ◽  
Rico Fisher ◽  
Torsten Schubert ◽  
Juan Lupiáñez
Keyword(s):  
Warning Signal ◽  
Attentional Focus ◽  
Warning Signals ◽  
Stimulus Response ◽  
Spatial Stimulus ◽  
Spatial Attributes ◽  
Task Irrelevant ◽  
Open Question ◽  
The Impact ◽  
Spatial Stroop

AbstractPrevious studies have reported increased interference when a task-irrelevant acoustic warning signal preceded the target presentation in cognitive tasks. However, the alerting-congruence interaction was mostly observed for tasks measuring Flanker and Simon interferences but not for Stroop conflict. These findings led to the assumption that warning signals widen the attentional focus and facilitate the processing of irrelevant spatial characteristics. However, it is not clear whether these effects are because of the temporal information provided by the warning signal or because of their alerting effects. Based on these findings, and on the open question about the nature of the warning signal intervention on visuospatial interferences, we decided to test the impact of the warning signal on the processing of irrelevant spatial features, by using a procedure suitable for measuring both Simon and spatial Stroop interferences. We also manipulated the intensity of the warning signal to study the effect of the task-irrelevant characteristics of warning signals in visuospatial interferences. For the Simon conflict, results demonstrated an increased interference provoked by the presence (Experiment 1) and intensity (Experiment 2) of warning signals. In contrast, neither the presence nor the intensity of warning signals affected the spatial Stroop interference. Overall, these findings suggest that the impact of warning signals primarily depends on the processing of irrelevant spatial attributes and on the type of conflict (e.g., spatial stimulus-response interference in Simon vs. stimulus-stimulus interference in spatial Stroop). In general, acoustic warning signals facilitate the automatic response activation, but their modulatory effect depends on the task setting involved.

The Theory of Event Coding (TEC): A framework for perception and action planning

2001 ◽  
Vol 24 (5) ◽  
pp. 849-878 ◽  
Author(s):  
Bernhard Hommel ◽  
Jochen Müsseler ◽  
Gisa Aschersleben ◽  
Wolfgang Prinz
Keyword(s):  
Perception And Action ◽  
Action Planning ◽  
Human Information Processing ◽  
Theoretical Treatment ◽  
Stimulus Response ◽  
Spatial Stimulus ◽  
Traditional Approaches ◽  
The Impact ◽  
Perception Action ◽  
New Framework

Traditional approaches to human information processing tend to deal with perception and action planning in isolation, so that an adequate account of the perception-action interface is still missing. On the perceptual side, the dominant cognitive view largely underestimates, and thus fails to account for, the impact of action-related processes on both the processing of perceptual information and on perceptual learning. On the action side, most approaches conceive of action planning as a mere continuation of stimulus processing, thus failing to account for the goal-directedness of even the simplest reaction in an experimental task. We propose a new framework for a more adequate theoretical treatment of perception and action planning, in which perceptual contents and action plans are coded in a common representational medium by feature codes with distal reference. Perceived events (perceptions) and to-be-produced events (actions) are equally represented by integrated, task-tuned networks of feature codes – cognitive structures we call event codes. We give an overview of evidence from a wide variety of empirical domains, such as spatial stimulus-response compatibility, sensorimotor synchronization, and ideomotor action, showing that our main assumptions are well supported by the data.

scholarly journals An Extended Model of Behavioural Process in Consumer Decision Making

2016 ◽  
Vol 8 (4) ◽  
pp. 87 ◽  
Author(s):  
Nagasimha Balakrishna Kanagal
Keyword(s):  
Decision Making ◽  
Consumer Products ◽  
Extended Model ◽  
Response Model ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Stimulus Response ◽  
Economic Decision Making ◽  
Buying Behaviour ◽  
The Impact

<p>The stimulus response model of consumer behaviour is useful to understand the buying behaviour of individual consumers in the context of individuals buying consumer products. An extended stimulus-response model of behavioural processes in consumer decision making is proposed that serves to integrate the influences and interlinkages of buyer psychology, various buyer characteristics, and the impact of the buyer decision process on consumer decision making. The model proposes that the behavioural process of consumer decision making be as a result of the interaction of three aspects of individual buyer behaviour: communication sensitivity; enculturated individuality; and rational / economic decision making. The paper addresses the flip side of the consumer decision making process in terms of the five stages of decision making from need recognition to post-purchase satisfaction. An aggregate level framework of behavioural process in consumer decision making has been provided, that could lead to a richer analysis of micro level factors and relationships influencing consumer decision behaviour.</p>

Flanker and Simon effects interact at the response selection stage

2009 ◽  
Vol 62 (9) ◽  
pp. 1784-1804 ◽  
Author(s):  
Barbara Treccani ◽  
Roberto Cubelli ◽  
Sergio Della Sala ◽  
Carlo Umiltà
Keyword(s):  
Response Selection ◽  
Flanker Task ◽  
Stimulus Response ◽  
Correspondence Effects ◽  
Correspondence Effect ◽  
Accessory Stimulus ◽  
Target Set ◽  
Referential Coding ◽  
Selection Stage ◽  
Effect Experiment

The present study aimed at investigating the processing stage underlying stimulus–stimulus (S–S) congruency effects by examining the relation of a particular type of congruency effect (i.e., the flanker effect) with a stimulus–response (S–R) spatial correspondence effect (i.e., the Simon effect). Experiment 1 used a unilateral flanker task in which the flanker also acted as a Simon-like accessory stimulus. Results showed a significant S–S Congruency × S–R Correspondence interaction: An advantage for flanker–response spatially corresponding trials was observed in target–flanker congruent conditions, whereas, in incongruent conditions, there was a noncorresponding trials’ advantage. The analysis of the temporal trend of the correspondence effects ruled out a temporal-overlap account for the observed interaction. Moreover, results of Experiment 2, in which the flanker did not belong to the target set, demonstrated that this interaction cannot be attributed to perceptual grouping of the target–flanker pairs and referential coding of the target with respect to the flanker in the congruent and incongruent conditions, respectively. Taken together, these findings are consistent with a response selection account of congruency effects: Both the position and the task-related attribute of the flanker would activate the associated responses. In noncorresponding-congruent trials and corresponding-incongruent trials, this would cause a conflict at the response selection stage.

Multiple priming instances increase the impact of practice-based but not verbal code-based stimulus-response associations

2018 ◽  
Vol 184 ◽  
pp. 100-109 ◽  
Author(s):  
Christina U. Pfeuffer ◽  
Karolina Moutsopoulou ◽  
Florian Waszak ◽  
Andrea Kiesel
Keyword(s):  
Verbal Code ◽  
Stimulus Response ◽  
The Impact ◽  
Multiple Priming

scholarly journals Estimating and Comparing Response Times in Traditional and Connected Environments

2019 ◽  
Vol 2673 (4) ◽  
pp. 674-684 ◽  
Author(s):  
Anshuman Sharma ◽  
Zuduo Zheng ◽  
Jiwon Kim ◽  
Ashish Bhaskar ◽  
Md. Mazharul Haque
Keyword(s):  
Decision Making ◽  
Traffic Safety ◽  
Driving Simulator ◽  
Response Times ◽  
Flow Characteristics ◽  
Trajectory Data ◽  
Stimulus Response ◽  
Wide Range ◽  
The Mean ◽  
The Impact

Response time (RT) is a critical human factor that influences traffic flow characteristics and traffic safety, and is governed by drivers’ decision-making behavior. Unlike the traditional environment (TE), the connected environment (CE) provides information assistance to drivers. This in-vehicle informed environment can influence drivers’ decision-making and thereby their RTs. Therefore, to ascertain the impact of CE on RT, this study develops RT estimation methodologies for TE (RTEM-TE) and CE (RTEM-CE), using vehicle trajectory data. Because of the intra-lingual inconsistency among traffic engineers, modelers, and psychologists in the usage of the term RT, this study also provides a ubiquitous definition of RT that can be used in a wide range of applications. Both RTEM-TE and RTEM-CE are built on the fundamental stimulus–response relationship, and they utilize the wavelet-based energy distribution of time series of speeds to detect the stimulus–response points. These methodologies are rigorously examined for their efficiency and accuracy using noise-free and noisy synthetic data, and driving simulator data. Analysis results demonstrate the excellent performance of both the methodologies. Moreover, the analysis shows that the mean RT in CE is longer than the mean RT in TE.

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