System-Ergonomic Design of Cognitive Automation

Onken, Reiner; Schulte, Axel

doi:10.1007/978-3-642-03135-9

Cited by 80 publications

(23 citation statements)

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“…Engineering methods like the presented CP method [3,14] primarily aim at technical design of cognitive systems. When developing joint cognitive systems that have to conform to operator expectations, it is important to acquire additional knowledge about the rules and heuristics humans use in manual assembly.…”

Section: Design For Human-machine Compatibilitymentioning

confidence: 99%

“…An unmanned air vehicle controlled onboard by SOAR was developed and tested by Putzer [14]. A detailed overview of using SOAR for the control of unmanned vehicles can be found in Onken and Schulte [3].…”

Section: Simulation Of Human Cognitionmentioning

confidence: 99%

“…According to Kinkel et al [2] the amount of process errors is on average significantly reduced by automation, but the severity of potential consequences of a single error increases disproportionately. These ''ironies of automation'' which were identified by Lisanne Bainbridge as early as 1987 can be considered a vicious circle [3], where a function that was allocated to a human operator due to poor human reliability is automated. This automation results in higher function complexity, ultimately increasing the cognitive loads of the human operator for planning, teaching and monitoring, and hence leading to a more error-prone system.…”

Section: Introductionmentioning

confidence: 99%

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Automation of robotic assembly processes on the basis of an architecture of human cognition

Mayer

Schlick

Ewert

et al. 2011

Prod. Eng. Res. Devel.

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A novel concept to cognitive automation of robotic assembly processes is introduced. An experimental assembly cell with two robots was designed to verify and validate the concept. The cell's numerical control-termed a cognitive control unit (CCU)-is able to simulate human information processing at a rule-based level of cognitive control. To enable the CCU to work on a large range of assembly tasks expected of a human operator, the cognitive architecture SOAR is used. On the basis of a self-developed set of production rules within the knowledge base, the CCU can plan assembly processes autonomously and react to adhoc changes in assembly sequences effectively. Extensive simulation studies have shown that cognitive automation based on SOAR is especially suitable for random parts supply, which reduces planning effort in logistics. Conversely, a disproportional increase in processing time was observed for deterministic parts supply, especially for assemblies containing large numbers of identical parts.

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Section: Design For Human-machine Compatibilitymentioning

confidence: 99%

Section: Simulation Of Human Cognitionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Automation of robotic assembly processes on the basis of an architecture of human cognition

Mayer

Schlick

Ewert

et al. 2011

Prod. Eng. Res. Devel.

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“…A function for the optimization of monitoring performance was described by Onken and Schulte [11] who recommend focusing on the information sources associated with the most urgent task. However, this exclusive-or function fails to attend to the fact that information sources associated with other less urgent tasks, also need to be sampled periodically to avoid loss of situation awareness [7].…”

Section: A Assessment Of Monitoring Performancementioning

confidence: 99%

“…One of these scenarios focuses on pilot monitoring performance. Based on what happened in the accident of Eastern Airlines Flight 401 [11,12], the pilots will be instructed to artificially neglect a pre-determined set of relevant displays. As described in this paper, deviations from adequate monitoring will be detected and notifications will be displayed in the MCMD.…”

Section: Evaluation Approachmentioning

confidence: 99%

Developing a feedback system to augment monitoring performance of aircraft pilots

Fortmann

Suck

Javaux³

et al. 2016

2016 IEEE International Multi-Disciplinary Conference on Cognitive Methods in Situation Awareness and Decision Support (CogSIMA

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Abstract-As a supervisor of a highly automated technical system, a human operator is the "ultima ratio" in abnormal situations that cannot be handled by the automation. Therefore, a human operator must adequately monitor the automated system throughout the entire operation. Unfortunately, humans tend to fall prey to a couple of demons leading to inadequate monitoring behavior, such as boredom, attentional tunneling or perservation. As a consequence, the human might lose situation awareness and be unable to detect and handle an abnormal situation in the given amount time. In this paper, we present a feedback system to augment monitoring performance on the part of an aircraft pilot. The feedback system has been developed under the umbrella of the European research and development project A-PiMod, where novel team-centered concepts for pilot-automation interaction are investigated.

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Cognitive Engineering of Automated Assembly Processes

Mayer

Odenthal

Faber

et al. 2012

Hum Ftrs & Erg Mfg Svc

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A cognitive control unit (CCU) for automated assembly systems aims to simulate human information processing at a rule-based level of cognitive control. Focusing on the subtask of monitoring, a cognitive engineering approach for the design of the procedural knowledge base of the CCU is presented and a human-centered simulation model of assembly processes on the basis of the cognitive architecture SOAR is introduced. The overall objective is to design and develop the system to conform to operators' expectations. To identify human assembly strategies to be included in the CCU, an empirical study with n = 16 participants was conducted and validated by an independent investigation with n = 25 persons. Furthermore, simulation models incorporating certain subsets of production rules were developed and evaluated regarding their goodness of prediction of human assembly behavior. The results show that the rule sets have a significant effect on the predictive power. The highest prediction accuracy was obtained with all identified assembly rules integrated. C 2012 Wiley Periodicals, Inc.

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System-Ergonomic Design of Cognitive Automation

Cited by 80 publications

References 0 publications

Automation of robotic assembly processes on the basis of an architecture of human cognition

Automation of robotic assembly processes on the basis of an architecture of human cognition

Developing a feedback system to augment monitoring performance of aircraft pilots

Cognitive Engineering of Automated Assembly Processes

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