scholarly journals Effects of Cloud Computing Tools, Study Type and Task Difficulty on Cognitive Load and Performance

2019 ◽  
Vol 7 (4) ◽  
pp. 155-167
Author(s):  
Zeliha DEMİR KAYMAK ◽  
◽  
Özcan Erkan AKGÜN ◽  
Keyword(s):  
Cloud Computing ◽  
Cognitive Load ◽  
Task Difficulty ◽  
And Performance ◽  
Study Type ◽  
And Task

Use of Criterial Measures in Animal Discrimination Learning Experiments

1968 ◽  
Vol 23 (3_suppl) ◽  
pp. 1335-1338 ◽  
Author(s):  
A. H. Winefield ◽  
M. A. Jeeves
Keyword(s):  
Discrimination Learning ◽  
Task Difficulty ◽  
Conditional Discriminations ◽  
Animal Discrimination Learning ◽  
And Performance ◽  
High Level ◽  
And Task

Findings from 2 experiments are described in which rats were overtrained on black/white and conditional discriminations. on the former, performance improved up to criterion and thereafter was maintained at a high level. on the latter, more difficult task, behaviour was less consistent and performance deteriorated with overtraining. A relation between elimination of position responses and task difficulty is suggested, and implications for the use of learning criteria are discussed.

Complex Learning and Performance as a Function of Anxiety in Children and Task Difficulty

1956 ◽  
Vol 27 (3) ◽  
pp. 327 ◽  
Author(s):  
Alfred Castaneda ◽  
David S. Palermo ◽  
Boyd R. McCandless
Keyword(s):  
Task Difficulty ◽  
Complex Learning ◽  
And Performance ◽  
And Task ◽  
Learning And Performance

A Theory for Predicting Ability/Skill Relations: An Approach from Automatic and Controlled Processing

1983 ◽  
Vol 27 (11) ◽  
pp. 919-923 ◽  
Author(s):  
Phillip L. Ackerman
Keyword(s):  
Individual Differences ◽  
General Theory ◽  
Cognitive Abilities ◽  
Task Difficulty ◽  
Short Review ◽  
Motor Abilities ◽  
Controlled Processing ◽  
And Performance ◽  
Resource Characteristics ◽  
And Task

The basic phenomena from studies relating Individual differences in cognitive and perceptual-motor abilities to skill development are investigated. A general theory is provided for predicting patterns of correlations between ability measures and performance scores during training. The theory is based on two major perspectives, Automatic and Controlled Processing types and modern hierarchical theories of cognitive abilities. Additional attention is devoted to Performance-Resource characteristics, task difficulty and task content. A short review of supporting data is also provided.

scholarly journals Cognitive resilience in bilinguals and its potentiality in dealing with cognitive load

2020 ◽  
Author(s):  
Setareh Doroud ◽  
Zari Saeedi ◽  
Narges Radman
Keyword(s):  
Cognitive Load ◽  
Stroop Task ◽  
Task Difficulty ◽  
Potential Effect ◽  
Difficulty Level ◽  
Bilingual Advantage ◽  
Cognitive Benefits ◽  
Level 3 ◽  
And Performance ◽  
Verbal Production

AbstractPrevious studies have demonstrated different patterns of results regarding cognitive benefits of bilingualism, ranging from bilingual advantage to no effect of bilingualism. This study examined the potential effect of bilingualism on cognitive resilience and performance. We recruited 21 Persian monolinguals and 19 Persian-English bilinguals. Color-Word Stroop task was used concurrently with verbal production tasks in order to produce three levels of task difficulty, i.e., doing the Stroop task while being silent (level 1), alphabet reciting (level 2), and counting odd numbers (level 3). We investigated the pattern of changes in Stroop task performance when faced with different difficulty levels Bilinguals showed less change in their performance in the Stroop task when faced with high cognitive load (high task difficulty level). However, monolinguals showed a significant decrease in their performance when the cognitive load increased. Our data support the “Bilingual Advantage” view. However, this advantage is highlighted in cognitively demanding tasks.

scholarly journals Exerted Effort and Performance in Climbing among Boys: The Influence of Achievement Goals, Perceived Ability, and Task Difficulty

2002 ◽  
Vol 73 (4) ◽  
pp. 425-436 ◽  
Author(s):  
Philippe Sarrazin ◽  
Glyn Roberts ◽  
FrançOis Cury ◽  
Stuart Biddle ◽  
Jean-Pierre Famose
Keyword(s):  
Achievement Goals ◽  
Task Difficulty ◽  
Perceived Ability ◽  
And Performance ◽  
And Task

scholarly journals Inferring Trust From Users’ Behaviours; Agents’ Predictability Positively Affects Trust, Task Performance and Cognitive Load in Human-Agent Real-Time Collaboration

2021 ◽  
Vol 8 ◽  
Author(s):  
Sylvain Daronnat ◽  
Leif Azzopardi ◽  
Martin Halvey ◽  
Mateusz Dubiel
Keyword(s):  
Cognitive Load ◽  
Real Time ◽  
Task Performance ◽  
Task Difficulty ◽  
Positive Impact ◽  
Virtual Agents ◽  
Human Agent ◽  
Key Factor ◽  
Human Operators ◽  
And Performance

Collaborative virtual agents help human operators to perform tasks in real-time. For this collaboration to be effective, human operators must appropriately trust the agent(s) they are interacting with. Multiple factors influence trust, such as the context of interaction, prior experiences with automated systems and the quality of the help offered by agents in terms of its transparency and performance. Most of the literature on trust in automation identified the performance of the agent as a key factor influencing trust. However, other work has shown that the behavior of the agent, type of the agent’s errors, and predictability of the agent’s actions can influence the likelihood of the user’s reliance on the agent and efficiency of tasks completion. Our work focuses on how agents’ predictability affects cognitive load, performance and users’ trust in a real-time human-agent collaborative task. We used an interactive aiming task where participants had to collaborate with different agents that varied in terms of their predictability and performance. This setup uses behavioral information (such as task performance and reliance on the agent) as well as standardized survey instruments to estimate participants’ reported trust in the agent, cognitive load and perception of task difficulty. Thirty participants took part in our lab-based study. Our results showed that agents with more predictable behaviors have a more positive impact on task performance, reliance and trust while reducing cognitive workload. In addition, we investigated the human-agent trust relationship by creating models that could predict participants’ trust ratings using interaction data. We found that we could reliably estimate participants’ reported trust in the agents using information related to performance, task difficulty and reliance. This study provides insights on behavioral factors that are the most meaningful to anticipate complacent or distrusting attitudes toward automation. With this work, we seek to pave the way for the development of trust-aware agents capable of responding more appropriately to users by being able to monitor components of the human-agent relationships that are the most salient for trust calibration.

Replication of the Superstition and Performance Study by

2014 ◽  
Vol 45 (3) ◽  
pp. 239-245 ◽  
Author(s):  
Robert J. Calin-Jageman ◽  
Tracy L. Caldwell
Keyword(s):  
Task Difficulty ◽  
Statistical Power ◽  
Meta Analysis ◽  
A Priori ◽  
Significant Heterogeneity ◽  
Performance Study ◽  
Improve Performance ◽  
Research Designs ◽  
Series Of Experiments ◽  
And Performance

A recent series of experiments suggests that fostering superstitions can substantially improve performance on a variety of motor and cognitive tasks ( Damisch, Stoberock, & Mussweiler, 2010 ). We conducted two high-powered and precise replications of one of these experiments, examining if telling participants they had a lucky golf ball could improve their performance on a 10-shot golf task relative to controls. We found that the effect of superstition on performance is elusive: Participants told they had a lucky ball performed almost identically to controls. Our failure to replicate the target study was not due to lack of impact, lack of statistical power, differences in task difficulty, nor differences in participant belief in luck. A meta-analysis indicates significant heterogeneity in the effect of superstition on performance. This could be due to an unknown moderator, but no effect was observed among the studies with the strongest research designs (e.g., high power, a priori sampling plan).

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