Input information complexity, perceived time pressure, and information processing in GSS-based work groups: An experimental investigation using a decision schema to alleviate information overload conditions

2010 ◽  
Vol 49 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Souren Paul ◽  
Derek L. Nazareth
Keyword(s):  
Experimental Investigation ◽  
Information Processing ◽  
Information Overload ◽  
Time Pressure ◽  
Work Groups ◽  
Information Complexity ◽  
Input Information

Input Information Complexity and Information Processing in Electronic Discussions: An Experimental Investigation

2013 ◽  
Vol 30 (4) ◽  
pp. 336-351
Author(s):  
Souren Paul ◽  
Janejira Sutanonpaiboon ◽  
Christopher M. Griffin ◽  
Peter P. Mykytyn
Keyword(s):  
Experimental Investigation ◽  
Information Processing ◽  
Information Complexity ◽  
Input Information

scholarly journals Free to move or trapped in your group: Mathematical modeling of information overload and coordination in crowded populations

2018 ◽  
Vol 28 (09) ◽  
pp. 1831-1856 ◽  
Author(s):  
Alessandro Ciallella ◽  
Emilio N. M. Cirillo ◽  
Petru L. Curşeu ◽  
Adrian Muntean
Keyword(s):  
Information Processing ◽  
Population Size ◽  
Information Overload ◽  
Interpersonal Attraction ◽  
Social Systems ◽  
Square Lattice ◽  
Coordination Costs ◽  
The Individual ◽  
Computational Resources ◽  
Number Of Individuals

We present modeling strategies that describe the motion and interaction of groups of pedestrians in obscured spaces. We start off with an approach based on balance equations in terms of measures and then we exploit the descriptive power of a probabilistic cellular automaton model.Based on a variation of the simple symmetric random walk on the square lattice, we test the interplay between population size and an interpersonal attraction parameter for the evacuation of confined and darkened spaces. We argue that information overload and coordination costs associated with information processing in small groups are two key processes that influence the evacuation rate. Our results show that substantial computational resources are necessary to compensate for incomplete information — the more individuals in (information processing) groups the higher the exit rate for low population size. For simple social systems, it is likely that the individual representations are not redundant and large group sizes ensure that this non-redundant information is actually available to a substantial number of individuals. For complex social systems, information redundancy makes information evaluation and transfer inefficient and, as such, group size becomes a drawback rather than a benefit. The effect of group sizes on outgoing fluxes, evacuation times and wall effects is carefully studied with a Monte Carlo framework accounting also for the presence of an internal obstacle.

Multimedia, Information Compexity, and Cognitive Processing

2008 ◽  
pp. 1248-1261
Author(s):  
Hayward P. Andres
Keyword(s):  
Information Processing ◽  
Cognitive Processing ◽  
Skill Acquisition ◽  
Sustained Attention ◽  
Mental Effort ◽  
Low Complexity ◽  
Information Complexity ◽  
Processing Quality ◽  
Optimal Learning ◽  
Presentation Media

Organizations are faced with increasing costs needed to train employees in today’s high technology environment. Educators are also striving to develop new training and teaching methods that will yield optimal learning transfer and complex skill acquisition. This study suggests that trainee/learner cognitive processing capacity, information presentation format and complexity, and multimedia technology should be leveraged in order to minimize training duration and costs and maximize knowledge transfer. It presents a causal model of how multimedia and information complexity interact to influence sustained attention, mental effort and information processing quality, all of which subsequently impact comprehension and learner confidence and satisfaction outcomes. Subjects read a text script, viewed an acetate overhead slide presentation containing text-with-graphics, or viewed a multimedia presentation depicting the greenhouse effect (low complexity) or photocopier operation (high complexity). Causal path analysis results indicated that presentation media (or format) had a direct impact on sustained attention, mental effort, information processing quality, comprehension, and learner confidence and satisfaction. Information complexity had direct effects on sustained attention, mental effort and information processing quality. Finally, comprehension and learner confidence and satisfaction were both influenced through an intervening sequence of sustained attention, mental effort and information processing quality.

ESTIMATING USER INFLUENCE IN ONLINE SOCIAL NETWORKS SUBJECT TO INFORMATION OVERLOAD

2014 ◽  
Vol 28 (03) ◽  
pp. 1450004 ◽  
Author(s):  
PEI LI ◽  
YUNCHUAN SUN ◽  
YINGWEN CHEN ◽  
ZHI TIAN
Keyword(s):  
Social Networks ◽  
Information Processing ◽  
Theoretical Analysis ◽  
Online Social Networks ◽  
Information Overload ◽  
Network Size ◽  
Finite Buffer ◽  
User Influence ◽  
Diffusion Dynamics ◽  
The Impact

Online social networks have attracted remarkable attention since they provide various approaches for hundreds of millions of people to stay connected with their friends. Due to the existence of information overload, the research on diffusion dynamics in epidemiology cannot be adopted directly to that in online social networks. In this paper, we consider diffusion dynamics in online social networks subject to information overload, and model the information-processing process of a user by a queue with a batch arrival and a finite buffer. We use the average number of times a message is processed after it is generated by a given user to characterize the user influence, which is then estimated through theoretical analysis for a given network. We validate the accuracy of our estimation by simulations, and apply the results to study the impacts of different factors on the user influence. Among the observations, we find that the impact of network size on the user influence is marginal while the user influence decreases with assortativity due to information overload, which is particularly interesting.

scholarly journals How Does Information Overload Affect Consumers’ Online Decision Process? An Event-Related Potentials Study

2021 ◽  
Vol 15 ◽  
Author(s):  
Minjing Peng ◽  
Zhicheng Xu ◽  
Haiyang Huang
Keyword(s):  
Information Processing ◽  
Decision Process ◽  
Information Overload ◽  
Central Area ◽  
Event Related Potentials ◽  
Decision Processes ◽  
Decision Quality ◽  
Amount Of Information ◽  
Related Potentials ◽  
The Impact

One of the advantages of e-retailers is their capability to provide a large amount of information to consumers. However, when the amount of information exceeds consumers’ information processing capacities, it will lead to worse decision quality and experience, causing the information overload effect. In this study, the event-related potentials (ERPs) were applied to examine the hidden neural mechanism of the impact of information overload on consumers’ decision processes. Behavioral data showed that people would spend more time making decisions when faced with information overload. Neurophysiologically, consumers would invest less attentional resources in the high amount of information (HAI) condition than those in the low amount of information (LAI) condition and lead to less positive P2 amplitudes. The HAI condition would increase decision difficulty than would the LAI condition and result in smaller P3 amplitudes. In addition, an increased late positive component (LPC) was observed for the HAI condition in contrast to the LAI condition, indicating that consumers were more inclined to have decision process regret when consumers were overloaded. We further investigated the dynamic information processing when consumers got over information overload by mining the brain’s time-varying networks. The results revealed that during the decision process and the neural response stage, the central area controlled other brain regions’ activities for the HAI condition, suggesting that people may still consider and compare other important information after the decision process when faced with information overload. In general, this study may provide neural evidence of how information overload affects consumers’ decision processes and ultimately damages decision quality.

scholarly journals Relationship between Information System and Information Overload. A Preliminary Analysis

2016 ◽  
Vol 11 (5) ◽  
pp. 3040-3050
Author(s):  
Carlo Caserio ◽  
Sara Trucco
Keyword(s):  
Information System ◽  
Information Processing ◽  
Information Overload ◽  
Processing Capacity ◽  
Technical Equipment ◽  
Negative Effects ◽  
Information Processing Capacity ◽  
A Company

The aim of this research is to investigate the role of information system in supporting companies to face with information overload. Specifically, the study provides an empirical analysis aimed to examine whether the quality of information systems is able to abate the negative effects of information overload/underload inside a company. Through a survey we assess the managerial feelings about the information overload (and underload) and the managerial assessment of the Information System (IS) quality. Preliminary empirical findings of our survey confirm, by performing a factor analysis, previous literature and suggest the items to be monitored for assessing the information underload and information overload phenomena and the dimensions to take into account for evaluating the IS quality, namely, information processing capacity, technical equipment and communication. Furthermore, results show that when the information underload increases, the information processing capacity of IS decreases and vice versa. This relation suggests that the IS quality could affect the information overload/underload phenomena.

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