Feedback Frequency Effect on Performance Time in Dynamic Decision Making Task

Author(s):  
Nakkyeong Choi ◽  
Rohae Myung

Decision support such as feedback has been considered to be crucial for successful work in many important Dynamic Decision Making (DDM) tasks. However, previous research did not consider the effect of feedback frequency on the performance time which, in conjunction with accuracy, is an important measure of the task performance evaluation in DDM. Therefore, in order to accurately evaluate task performance in a DDM, not only the accuracy of performance, but also the time to perform the task should be considered. This paper will examine the effect of feedback frequency on the task performance time in DDM. Drawing from activation theory (Anderson, 2009), we hypothesized that frequent feedback induces cognitive overload, resulting in learning degradation, and thus producing a U-shaped relationship with performance time. In order to test this hypothesis, we have experimented with the DDM simulation where the frequency of feedback was manipulated. The results demonstrate that there is U-shaped relationship between feedback frequency and performance time ( R2= 0.746, p < 0.01). Our findings show that providing excessively frequent feedback to an operator negatively affects performance time.

Author(s):  
Ronald John Lofaro ◽  
Kevin M. Smith

This chapter will focus on the role of pilot/flightcrew training and performance evaluation in the identification and management of risk, especially while aloft and in changing conditions. The chapter will integrate different- but we posit interrelated, topic areas: First, a decision-making paradigm for flight crew’s use in the operational environment. Second, training and performance evaluation in flight simulators (FS), as well as the design and development of FS scenarios to test decision performance. Third, Relevant Federal Aviation regulations (FAR’s) and approved programs in current pilot/flightcrew training. Fourth, accident investigations; the role and use-value of accident investigation data in flying safety. Finally, the authors will present recommendations for the next steps in the development and use of new and emerging technologies for maximum pilot/flight crew decision performance and safety. This will be done via a collaborative ground-air, automated system and is what we propose to achieve our goal, increasing safety of flight.


Societies ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 76
Author(s):  
Paul Downes ◽  
Dave Collins

Research into sports coaches has identified the valuable role they play concerning social support provided to athletes together with their contribution to social and cultural interactions within both the participation and performance domains. The purpose of the present study was to qualitatively extract and examine the knowledge and on-task cognitions of high-level coaches (HLCs) within strength and conditioning (S and C). Applied cognitive task analysis (ACTA) was used to examine ten HLCs, each purposefully sampled to reflect over eight years of work in full time environments. The analysis of responses demonstrated HLCs engage in a pattern of innovative and diverse thinking, together with adaptability and multilevel planning, designed to promote an inclusive approach from performers, coaches and management. Commonality was demonstrated within the decision making of HLCs during the design of training programs. Communication was another important consideration when connecting with athletes, observing athletes, speaking to the head coach and integrating their approach with others. A confident, flexible approach to adapting to situational demands was evident and supported by the ability to recall and select from a wide range of previously learnt and tested strategies. Evidence is offered for the importance of interpersonal and social factors in HLCs’ relationships with athletes and coaches. The incorporation of strategies to support versatile, dynamic decision making within future S and C coach development materials will support more impactful performances by coaches at all stages of the coaching process.


2015 ◽  
Vol 4 ◽  
Author(s):  
Mohamad Nizam

<p>This study aims to examine the decision making by rugby sevens referees, and its relationship with the referees’ performance. The instruments used in this study are the Rugby Referee Decision Making Test (α=.74) and the Referee Sevens Field Performance Evaluation (α=.94). It was administered to 132 rugby sevens referees (mean age 33.4 + 1.5 years; 132 males) from the Malaysian Rugby Union (MRU), which have been refereeing in 10 rugby sevens tournaments in Malaysia. Descriptive and Inferential statistics (one way ANOVA and Pearson’s Correlation) were employed to analyse the data. Decision Making ( = 24.13, SD= 5.24) and performance ( = 136.45, SD = 4.47) were identified at a moderate level. The findings indicated no significant differences [F= (3, 128) =.246, p&gt;0.05] in the decision making across age level, but there were significant differences [F= (3, 128) =63.159, p&lt;0.05] across experience level. Highly experienced referees scored significantly higher in all decision making constructs compared to less experienced referees. The research findings have revealed a positive and significant relationship between decision making (r= .61, p&lt;.05) and referee performance. In conclusion, the decision making can help rugby sevens referees’ performance, and it is recommended that referees should increase<strong> </strong>the use of decision making in future<strong> </strong>training and assessment. Future research should investigate the effectiveness of decision making interventions in enhancing referees’ performance in the future.</p>


2016 ◽  
Vol 23 (1) ◽  
pp. 165-182 ◽  
Author(s):  
Asmita Chitnis ◽  
Omkarprasad S Vaidya

Purpose – The purpose of this paper is to present a tie-breaking procedure for computing performance efficiencies to improve benchmarking and performance evaluation process in a business situation. Design/methodology/approach – The authors propose a unified approach based on data envelopment analysis (DEA) and technique for order of preference by similarity to ideal solution (TOPSIS), to overcome the difficulty of unique ranking in the prevalent benchmarking and performance evaluation processes such as DEA, Super efficiency DEA model, etc., under constant return to scale (CRS) assumption. This model is called as efficiency ranking method using DEA and TOPSIS (ERM-DT). In order to check the consistency of the approach, various input-output combinations (to calculate the efficiencies) have been illustrated. Further, the authors present a case of an Indian Bank to illustrate an application of the proposed approach. Findings – The proposed approach, ERM-DT enables assign a unique rank to decision making units and provides a tie breaking procedure. Results obtained using the proposed approach are statistically compared with those obtained from the CRS DEA approach and super efficiency DEA approach using Friedman’s test. Practical implications – The proposed model provides an efficiency ranking method based on a score obtained by considering the minimum distance from the best value and maximum distance from the worst value. The proposed methodology is capable of handling negative data and undesirable output variables. This approach is unit invariant and makes the calculations simple. The authors present an application to compute the efficiency of various branches of an Indian bank. The authors hope the proposed method can enhance the decision-making ability of the management in complex situations. Originality/value – The authors propose an integrated DEA and TOPSIS framework for better benchmarking and performance evaluation. This approach provides a tie-breaking procedure for the efficiencies computed using CRS DEA approach. Ranks are assigned based on score obtained by considering the distance from the worst and the best solution. The proposed approach can be used with non-positive data points and undesirable output variables.


Author(s):  
Rebecca J. White ◽  
Thomas E. Nygren

Individuals may rely upon a number of decision making strategies in their approach to a complex decision making environment. For example, people may have a predisposition to rely upon intuitive and analytical decision making styles during task performance. These decision making styles, as measured by a Decision Making Styles Inventory (DMI), have been found to predict performance on a multi-attribute decision making task. It follows that manipulating the manner in which task instructions are framed, either analytically or intuitively, may have an influence upon task approach and performance as well. Influence of analytic and intuitive instructions for a multi-attribute decision making task are examined in this paper.


Author(s):  
Robert P. Mahan ◽  
Susan S. Kirschenbaum ◽  
Jeff M. Jilig ◽  
Christopher J. Marino

The absence of feedback on the quality of decision making complicates the efficacy of methods designed to represent probabilistic information, especially in dynamic decision environments. The present study investigated the effects of changes in task information reliability on the performance of multi-cue judgment across conditions where the reliability of stimulus information was presented as a feedforward information source to enhance performance. Significant decrements in judgment performance were found across discrete changes in the reliability of source information. A Graphic format for presentation of reliability information produced high task performance under high and medium information reliability conditions, whereas an Animated presentation of reliability information produced high task performance under high and low reliability conditions. The results are evaluated in the context of work settings that call for dynamic decision making skills where the absence of immediate feedback is a constraint on performance.


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