The role of prior task experience in temporal misestimation

2007 ◽  
Vol 60 (2) ◽  
pp. 230-240 ◽  
Author(s):  
Kevin E. Thomas ◽  
Simon J. Handley ◽  
Stephen E. Newstead
Keyword(s):  

Author(s):  
Mark T. Dishaw ◽  
Diane M. Strong

Computer-Aided Software Engineering (CASE) tools have been advocated for improving maintainer productivity and the quality of maintained software. While there is evidence that such benefits can accrue to organizations adopting maintenance-oriented CASE tools, a key problem in achieving the desired benefits from CASE tools is low usage of these tools by programmers. The previously tested Maintenance Tool Utilization Model was a first step in investigating the factors that affect whether maintainers choose to use CASE tools during maintenance projects. We test the addition of experience with software maintenance tools and with the software maintenance task to the Maintenance Tool Utilization Model. The role of experience is important because managers can provide training to increase experience and they can ensure that project teams have some members experienced with the tools or with the task. Data for the test are collected from software maintainers working on their organization’s normal maintenance project backlog. Tool experience is significant as both a main and interaction effect, but task experience adds little to the explanatory power of the Maintenance Tool Utilization Model. These results support the value of improved CASE tool training programs.





2019 ◽  
Author(s):  
Charlotte Murphy ◽  
Giulia Poerio ◽  
Mladen Sormaz ◽  
Hao-Ting Wang ◽  
Deniz Vatansever ◽  
...  

AbstractNeural activity within the default mode network (DMN) is widely assumed to relate to processing during off-task states, however it remains unclear whether this association emerges from a shared role in self or social cognition. In the current study, we examine the possibility that the role of the DMN in ongoing thought emerges from contributions to specific features of off-task experience such as self-relevant or social content. A group of participants described their experiences while performing a laboratory task over a period of days. In a different session, neural activity was measured while participants performed self/other judgements. Despite the prominence of social and personal content in off-task reports, there was no association with neural activity during off-task trait adjective judgements. Instead, during both self and other judgements we found recruitment of caudal posterior cingulate cortex - a core DMN hub - was above baseline for individuals whose laboratory experiences were characterised as detailed. These data provide little support for a role of the DMN in self or other content in the off-task state and instead suggest a role in how on-going thought is represented.



Author(s):  
Bambang Sujarwo ◽  
Nuddin Harahab ◽  
Fadillah Putra


2009 ◽  
Vol 103 (2) ◽  
pp. 152-166 ◽  
Author(s):  
Amanda R. Lipko ◽  
John Dunlosky ◽  
William E. Merriman
Keyword(s):  


2008 ◽  
Vol 22 (2) ◽  
pp. 23-52 ◽  
Author(s):  
Robyn L. Raschke ◽  
Paul John Steinbart

ABSTRACT: Prior to training about the principles of proper graph design, effort-inducing interventions (warning decision makers about the possibility that graphs create misleading impressions and/or requiring them to write a brief justification of their choices) reduced the decision-biasing effects of misleadingly designed graphs, but only for decision makers with prior task experience. In contrast, a 30-minute training session on the principles of graph design improved decision quality for all participants, regardless of prior task experience. Moreover, after the training, neither type of effort-inducing intervention affected the decision quality of experienced decision makers. These results suggest that the best way to counteract the decision-biasing effects of misleadingly designed graphs is to educate decision makers about the principles of proper graph design. Our results, however, indicate that such training does not totally eliminate the decision-biasing effects of misleadingly designed graphs. Therefore, organizations also need to take steps to prevent the creation and dissemination of misleadingly designed graphs.



2017 ◽  
Vol 21 (2) ◽  
pp. 371-381 ◽  
Author(s):  
Meghan I. H. Lindeman ◽  
Amanda M. Durik ◽  
Garret J. Hall
Keyword(s):  


2011 ◽  
Vol 109 (2) ◽  
pp. 380-388 ◽  
Author(s):  
Oliver Dickhäuser ◽  
Marc-André Reinhard ◽  
Chris Englert

The importance of performance expectancies for predicting behavior has long been highlighted in research on expectancy-value models. These models do not take into account that expectancies may vary in terms of their certainty. The study tested the following predictions: task experience leads to a higher certainty of expectancies; certainty and mean expectancies are empirically distinguishable; and expectancies held with high certainty are more accurate for predicting performance. 273 Grade 8 students reported their performance expectancy and the certainty of expectation with regard to a mathematics examination immediately before and after the examination. Actual grades on the examination were also assessed. The results supported the predictions: there was an increase in certainty between the two times of measurement; expectancies and certainty were unrelated at both times of measurement; and for students initially reporting higher certainty, the accuracy of the performance expectancy (i.e., the relation between expectancy and performance) was higher than for students reporting lower certainty. Given lower certainty, the accuracy increased after the students had experience with the examination. The data indicate that it may be useful to include certainty as an additional variable in expectancy-value models.



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