Data-based skill evaluation of human operators in process industry

Haavisto, Olli; Remes, Antti

doi:10.1109/iccas.2010.5670265

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…The events are associated with the outcome of the game (loss = 0, win = 1, draw = 1 2 ). The events are aggregated by outcome to generate three sets of events S 0 , S 1 and S 1 2 . The set S 1 contains sets of move-events which have been made by players who won the game, S 0 those made by players who lost and S 1 2 those made by players who drew.…”

Section: Skill Difference In Players With Similar Elo Ratingsmentioning

confidence: 99%

“…The average apparent skill μc over all 1204 S r,i , regardless of the result r, is 1.2109. The results over each set S 0 , S 1 and S 1 2 are shown in Table IV.…”

Section: Skill Difference In Players With Similar Elo Ratingsmentioning

confidence: 99%

“…Manuscript received September 15, 2011. Revision received September 19, 2012. recognised in a broad range of application domains: mineral processing plant [1], surgery [2], [3], Air Traffic Controllers [4], robotic arms [5] senior police officers [6], Intelligent Tutoring System and Adaptive Learning Platforms [7], sports [8] and games [9].…”

Section: Introductionmentioning

confidence: 99%

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Skilloscopy: Bayesian Modeling of Decision Makers' Skill

Fatta

Haworth

2013

IEEE Trans. Syst. Man Cybern, Syst.

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This paper proposes and demonstrates an approach, Skilloscopy, to the assessment of decision makers. In an increasingly sophisticated, connected and information-rich world, decision making is becoming both more important and more difficult. At the same time, modelling decision-making on computers is becoming more feasible and of interest, partly because the information-input to those decisions is increasingly on record. The aims of Skilloscopy are to rate and rank decision makers in a domain relative to each other: the aims do not include an analysis of why a decision is wrong or suboptimal, nor the modelling of the underlying cognitive process of making the decisions. In the proposed method a decision-maker is characterised by a probability distribution of their competence in choosing among quantifiable alternatives. This probability distribution is derived by classic Bayesian inference from a combination of prior belief and the evidence of the decisions. Thus, decision-makers' skills may be better compared, rated and ranked.The proposed method is applied and evaluated in the gamedomain of Chess. A large set of games by players across a broad range of the World Chess Federation (FIDE) Elo ratings has been used to infer the distribution of players' rating directly from the moves they play rather than from game outcomes.Demonstration applications address questions frequently asked by the Chess community regarding the stability of the Elo rating scale, the comparison of players of different eras and/or leagues, and controversial incidents possibly involving fraud.The method of Skilloscopy may be applied in any decision domain where the value of the decision-options can be quantified.

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Section: Skill Difference In Players With Similar Elo Ratingsmentioning

confidence: 99%

“…The average apparent skill μc over all 1204 S r,i , regardless of the result r, is 1.2109. The results over each set S 0 , S 1 and S 1 2 are shown in Table IV.…”

Section: Skill Difference In Players With Similar Elo Ratingsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Skilloscopy: Bayesian Modeling of Decision Makers' Skill

Fatta

Haworth

2013

IEEE Trans. Syst. Man Cybern, Syst.

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“…Other recent Ham strategies include the modified optimal control model method and particle swarm optimization [8]. A promising procedure to analyze the human operator task-switching actions, by using the self-organizing map concept, as a classification method for estimating operational intention and human skill was also recently proposed [14].…”

Section: Introductionmentioning

confidence: 99%

Skill Evaluation in Point-to-Point Human-Machine Operation

Antunes

Coito

Duarte-Ramos

2013

AMM

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Point-to-point reaching manual actions are present in numerous human-machine tasks. This is due to the fact that machines are commonly handled by a human operator through simple multiple interfaces. Therefore, task-performance evaluation methods based on extending the Fitts' law can be used as a skill estimator for the resulting human-machine system. This paper proposes a methodology for qualifying operator skill in point-to-point (p-t-p) man-machine operations, based on several task-performance index evaluation criteria. A 2-D real-time setup was built for the execution and evaluation of the p-t-p tracking experiences over a predefined process dynamics, using a pen tablet as the human-machine interface device. The analysis from the collected data reveals a correlation between operator performance and the fitting error to Fitts' law.

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Data-based skill evaluation of human operators in process industry

Cited by 2 publications

References 7 publications

Skilloscopy: Bayesian Modeling of Decision Makers' Skill

Skilloscopy: Bayesian Modeling of Decision Makers' Skill

Skill Evaluation in Point-to-Point Human-Machine Operation

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