The Effect of an above Real Time Decision-Making Intervention on Visual Search Behaviour

2014 ◽  
Vol 9 (6) ◽  
pp. 1383-1392 ◽  
Author(s):  
Megan Lorains ◽  
Derek Panchuk ◽  
Kevin Ball ◽  
Clare MacMahon
Keyword(s):  
Decision Making ◽  
Visual Search ◽  
Real Time ◽  
Search Behaviour

scholarly journals Into the Eyes of the Referee: A Comparison of Elite and Sub-Elite Football Referees’ On-Field Visual Search Behaviour when making Foul Judgements

2022 ◽  
pp. 174795412110694
Author(s):  
T. van Biemen ◽  
R.R.D. Oudejans ◽  
G.J.P. Savelsbergh ◽  
F. Zwenk ◽  
D.L. Mann
Keyword(s):  
Decision Making ◽  
Visual Search ◽  
Search Rate ◽  
Specific Information ◽  
Eye Tracker ◽  
Skill Levels ◽  
Search Behaviour ◽  
Direct Gaze ◽  
Gaze Patterns ◽  
Gaze Behaviour

In foul decision-making by football referees, visual search is important for gathering task-specific information to determine whether a foul has occurred. Yet, little is known about the visual search behaviours underpinning excellent on-field decisions. The aim of this study was to examine the on-field visual search behaviour of elite and sub-elite football referees when calling a foul during a match. In doing so, we have also compared the accuracy and gaze behaviour for correct and incorrect calls. Elite and sub-elite referees (elite: N = 5, Mage  ±  SD = 29.8 ± 4.7yrs, Mexperience  ±  SD = 14.8 ± 3.7yrs; sub-elite: N = 9, Mage  ±  SD = 23.1 ± 1.6yrs, Mexperience  ±  SD = 8.4 ± 1.8yrs) officiated an actual football game while wearing a mobile eye-tracker, with on-field visual search behaviour compared between skill levels when calling a foul (Nelite = 66; Nsub−elite = 92). Results revealed that elite referees relied on a higher search rate (more fixations of shorter duration) compared to sub-elites, but with no differences in where they allocated their gaze, indicating that elites searched faster but did not necessarily direct gaze towards different locations. Correct decisions were associated with higher gaze entropy (i.e. less structure). In relying on more structured gaze patterns when making incorrect decisions, referees may fail to pick-up information specific to the foul situation. Referee development programmes might benefit by challenging the speed of information pickup but by avoiding pre-determined gaze patterns to improve the interpretation of fouls and increase the decision-making performance of referees.

Marketing on the Map: Visual Search and Consumer Decision Making

2010 ◽  
Author(s):  
Nicholas Lurie ◽  
Sam Ransbotham ◽  
Zoey Chen ◽  
Stephen He
Keyword(s):  
Decision Making ◽  
Visual Search ◽  
Consumer Decision Making ◽  
Consumer Decision

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

scholarly journals BattleNet: Capturing Advantageous Battlefield in RTS Games (Student Abstract)

2020 ◽  
Vol 34 (10) ◽  
pp. 13849-13850
Author(s):  
Donghyeon Lee ◽  
Man-Je Kim ◽  
Chang Wook Ahn
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Real Time ◽  
Large Scale ◽  
Outcome Predictor ◽  
Short Term ◽  
Rts Game

In a real-time strategy (RTS) game, StarCraft II, players need to know the consequences before making a decision in combat. We propose a combat outcome predictor which utilizes terrain information as well as squad information. For training the model, we generated a StarCraft II combat dataset by simulating diverse and large-scale combat situations. The overall accuracy of our model was 89.7%. Our predictor can be integrated into the artificial intelligence agent for RTS games as a short-term decision-making module.

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