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16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME 2022

作者： Preuss, Kai Schulte, Svenja Nicole Rzazonka, Lukas Befort, Lilian Fresemann, Carina Stark, Rainer Russwinkel, Nele Technische Universität Berlin Cognitive Modeling in Dynamic Human-Machine Systems Marchstraße 23 Berlin10587 Germany Technische Universität Berlin Industrial Information Technology Pascalstraße 8-9 Berlin10587 Germany

The Digital Twin paradigm incorporates the application of virtual prototypes established during product development as well as sensor data collected during the production and use phase. Another aspect concerns digital representation of the product's end users. A stronger connection between a digital product and its digital user would complement the Digital Twin. This paper investigates the concept of coupling a geometrical model of an adjustable operating table including position sensors with a cognitive digital user. Users interacted with both real and virtual instances of the table. Resulting data allow for evaluation of the usability of different interface variants and virtual product representations to develop a cognitive model of end users, showing the potential of a combined Digital Twin in human-centered design. © 2023 Elsevier B.V.. All rights reserved.

关键词： Product design

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Towards A human-Centered Digital Twin

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Procedia CIRP 2023年 118卷 324-329页

作者： Kai Preuss Svenja Nicole Schulte Lukas Rzazonka Lilian Befort Carina Fresemann Rainer Stark Nele Russwinkel Technische Universität Berlin Cognitive Modeling in dynamic Human-Machine Systems Marchstraße 23 10587 Berlin Germany Technische Universität Berlin Industrial Information Technology Pascalstraße 8-9 10587 Berlin Germany

关键词： digital twin cognitive modeling human-centered design user study

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cognitive Processing Stages during Mental Folding Are Reflected in Eye Movements

Cognitive Processing Stages during Mental Folding Are Reflec...

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2020 ACM Symposium on Eye Tracking Research and Applications, ETRA 2020

作者： Preuss, Kai Hilton, Christopher Gramann, Klaus Russwinkel, Nele Technische Universität Berlin Department of Psychology and Ergonomics Cognitive Modeling in Dynamic Human-Machine Systems Berlin Germany

ISBN: (纸本)9781450371353

Distinct cognitive processing stages in mental spatial transformation tasks can be identified in oculomotor behavior. We recorded eye movements whilst participants performed a mental folding task. Gaze behaviour was analyzed to provide insights into the relationship of task difficulty, gaze proportion on each stimulus, gaze switches between stimuli, and reaction times. We found a monotonic decrease in switch frequency and reference object gaze proportions with increasing difficulty level. Further, we found that these measures of gaze behaviour are related to the time taken to perform the mental transformation. We propose that the observed patterns of eye movements are indicative of distinct cognitive stages during mental folding. Lastly, further exploratory analyses are discussed. © 2020 ACM.

关键词： Eye movements

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Multimodal Physiological Assessment of the Task-related Attentional States in a VR Driving Environment 28

Multimodal Physiological Assessment of the Task-related Atte...

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28th International Conference on Mechatronics and machine Vision in Practice, M2VIP 2022

作者： Zhu, Wenchao Kucyi, Aaron Kramer, Arthur F. Lin, Yingzi Northeastern University Intelligent Human-Machine Systems Lab Mechanical and Industrial Engineering Department BostonMA United States Drexel University Dynamic Brain and Mind Lab Department of Psychological and Brain Sciences PhiladelphiaPA United States Psychology Department Northeastern University Center for Cognitive and Brain Health BostonMA United States

ISBN: (纸本)9798350334333

The wandering mind is a significant source of distraction for drivers. There is extensive research studying the wandering mind via driving simulations, on-road driving, and surveys. This research project involved experience sampling in a Unity3D driving simulation environment and physiological sensors including eye tracking, EEG, respiration, temperature, skin conductance, blood volume pulse, and EMG to understand changes in drivers' physiological states that co-occur with mind wandering. The team conducted 33 experimental trials to collect and analyze data to set the stage for further research investigating the relationship between physiological representations and mind wandering. These results will provide guidance for further research in the problem space and potentially impact human factors design of automobiles. © 2022 IEEE.

关键词： Eye tracking

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ACT-R model for cognitive assistance in handling flight deck alerts 17

ACT-R model for cognitive assistance in handling flight deck...

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17th International Conference on cognitive modeling, ICCM 2019

作者： Klaproth, Oliver W. Halbrügge, Marc Russwinkel, Nele Central Research and Technology Hein-Sass-Weg 22 Hamburg21129 Germany Chair of Cognitive Modeling in Dynamic Human Machine Systems Marchstr. 23 Berlin10587 Germany

ISBN: (纸本)9780998508238

The ability to respond to the needs of an individual operator is key for cognitive assistance in naturalistic settings. In order to keep track of changing operator demands in dynamic situations, a model-based approach for cognitive assistance is proposed. Based on model tracing with flight deck interactions and EEG recordings, the model is able to represent individual pilots' behavior in response to flight deck alerts. As a first application of the concept, an ACT-R cognitive model is created using data from an empirical flight simulator study on neurophysiological signals of missed acoustic alerts. Results show that uncertainty of individual behavior representation can be significantly reduced by the combination of cognitive modeling and EEG data. Implications for model-based cognitive assistance in flight deck operations are discussed. © ICCM *** rights reserved.

关键词： Flight simulators

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Multimodal Physiological Assessment of the Task-related Attentional States in a VR Driving Environment

Multimodal Physiological Assessment of the Task-related Atte...

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International Conference on Mechatronics and machine Vision in Practice (M2VIP)

作者： Wenchao Zhu Aaron Kucyi Arthur F. Kramer Yingzi Lin Mechanical and Industrial Engineering Department Intelligent Human-Machine Systems Lab Northeastern University Boston MA USA Department of Psychological and Brain Sciences Dynamic Brain and Mind Lab Drexel University Philadelphia PA USA Center for Cognitive and Brain Health Psychology Department Northeastern University Boston MA USA

ISBN: (纸本)9798350334340

关键词： Temperature sensors Solid modeling Mechatronics machine vision Brain modeling Physiology Skin

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Investigation of frustration 19

Investigation of frustration

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2019 Conference on Mensch und Computer, MuC 2019

作者： Weidemann, Alexandra Russwinkel, Nele Technical University Berlin junior research group MTI-engAge Berlin Germany Technical University Berlin Cognitive Modeling in dynamic Human-Machine Systems Berlin Germany

ISBN: (纸本)9781450371988

Frustration often occur in an interaction with a technical device. It has a strong impact on the quality of interaction and should be carefully considered in planning how humans and machines should interact with each other. In this study, the measurability of frustration with subjective (questionnaires) and objective (electrocardiogram and electromyogram) methods and the influence on user state factors (like dominance, self-confidence, and performance) in an emotion induction task was examined. The sample size was 20 participants. Here we show that the induced frustration could be measured with questionnaires. Furthermore, positive correlations between frustration and mental demand and self-reported performance, as well as negative correlations between frustration and dominance and self-confidence were observed. The psychophysiological methods also indicate differences between the frustrated group (FRUST-group) and the control group (NOFRUST-group). Even if the frustration is only psychologically perceived, it should be determined how frustration could be detected and minimized. The information and the knowledge about underlying processes and relationships could be used for a better human-machine interaction. © 2019 Association for Computing machinery.

关键词： Electrocardiograms

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Latent Event-Predictive Encodings through Counterfactual Regularization 43

Latent Event-Predictive Encodings through Counterfactual Reg...

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43rd Annual Meeting of the cognitive Science Society: Comparative Cognition: Animal Minds, CogSci 2021

作者： Humaidan, Dania Otte, Sebastian Gumbsch, Christian Wu, Charley Butz, Martin V. Neuro-Cognitive Modeling Group Dep. of Psychology Dep. of Computer Science Sand 14 Tübingen72076 Germany Cluster of Excellence – Machine Learning for Science Maria-von-Linden-Str. 6 Tübingen72076 Germany Autonomous Learning Group MPI for Intelligent Systems Tübingen72076 Germany Human and Machine Cognition Lab Maria-von-Linden-Str. 6 Tübingen72076 Germany

A critical challenge for any intelligent system is to infer structure from continuous data streams. Theories of event-predictive cognition suggest that the brain segments sensorimotor information into compact event encodings, which are used to anticipate and interpret environmental dynamics. Here, we introduce a SUrprise-GAted Recurrent neural network (SUGAR) using a novel form of counterfactual regularization. We test the model on a hierarchical sequence prediction task, where sequences are generated by alternating hidden graph structures. Our model learns to both compress the temporal dynamics of the task into latent event-predictive encodings and anticipate event transitions at the right moments, given noisy hidden signals about them. The addition of the counterfactual regularization term ensures fluid transitions from one latent code to the next, whereby the resulting latent codes exhibit compositional properties. The implemented mechanisms offer a host of useful applications in other domains, including hierarchical reasoning, planning, and decision making. © cognitive Science Society: Comparative Cognition: Animal Minds, CogSci *** rights reserved.

关键词： Intelligent systems

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Comparing models of visual search in heterogeneous search fields 16

Comparing models of visual search in heterogeneous search fi...

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16th International Conference on cognitive modeling, ICCM 2018

作者： Lindner, Stefan Arlt, Lennart Russwinkel, Nele Department of Cognitive Modeling in Dynamic Human-Machine Systems TU Berlin Marchstr. 23 Berlin10587 Germany

ISBN: (纸本)9780998508221

The paper investigates visual search in heterogeneous search fields with the aim of capturing search times with cognitive models. An icon search experiment was conducted in which target-distractor similarity (low vs. high) and distractordistractor similarity (low vs. high) of icons, target presence (present vs. absent) and the set size (6x4, 8x4 or 8x6 icons) were varied. At the same time a total of 6 ACT-R models - each implementing a different search strategy hypothesis - were created (4 cluster search models, 1 row model and 1 basic model) and their fit with the experimental reaction times assessed. All cluster models were able to fit the general pattern of reaction times fairly well, but varied in fit among different conditions. A cluster model assuming search along 2-by-2-icon clusters achieved the best overall fit. © 2020 The Authors. Published by Elsevier Ltd.

关键词： ACT-R cognitive modeling Similarity Visual search

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Latent event-predictive encodings through counterfactual regularization

arXiv

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arXiv 2021年

A critical challenge for any intelligent system is to infer structure from continuous data streams. Theories of event-predictive cognition suggest that the brain segments sensorimotor information into compact event encodings, which are used to anticipate and interpret environmental dynamics. Here, we introduce a SUrprise-GAted Recurrent neural network (SUGAR) using a novel form of counterfactual regularization. We test the model on a hierarchical sequence prediction task, where sequences are generated by alternating hidden graph structures. Our model learns to both compress the temporal dynamics of the task into latent event-predictive encodings and anticipate event transitions at the right moments, given noisy hidden signals about them. The addition of the counterfactual regularization term ensures fluid transitions from one latent code to the next, whereby the resulting latent codes exhibit compositional properties. The implemented mechanisms offer a host of useful applications in other domains, including hierarchical reasoning, planning, and decision making. Copyright © 2021, The Authors. All rights reserved.

关键词： Recurrent neural networks

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