Group leader

Dr. Lewis Chuang
Phone: +49 7071 601-608
Fax: +49 7071 601-616

Recent news


[Paper] We have a new paper on how steering decreases involuntary attention Opens internal link in current window[more]

[Paper] We have a new paper on eye-movements to moving targets Opens internal link in current window[more]

[Thesis] Ms. Silke Wittkowski has completed her Masters thesis in Neural and Behavioral Sciences titled,"The influence of environmental sounds during steering." Opens internal link in current window[more]

[Funding] Dr. Lewis Chuang has been jointly awarded, with Konstanz and Stuttgart Universities, a DFG-Sondersforschungbereich grant—'Quantitative Methods for Visual Computing'. Opens internal link in current window[more]

Five most recent Publications

Janssen CP, Boyle LN, Kun AL, Ju W and Chuang L (July-2018) A Hidden Markov Framework to Capture Human-Machine Interaction in Automated Vehicles International Journal of Human-Computer Interaction . in press
Chuang LL (November-5-2015) Invited Lecture: Beyond Steering in Human-Centered Closed-Loop Control, Institute for Neural Computation: INC Chalk Talk Series, San Diego, CA, USA.
Scheer M, Bülthoff HH and Chuang LL (October-2015) On the influence of steering on the orienting response In: Trends in Neuroergonomics, , 11. Berliner Werkstatt Mensch-Maschine-Systeme, Universitätsverlag der TU Berlin, Berlin, Germany, 24.
Chuang L (September-16-2015) Invited Lecture: Non-obtrusive measurements of attention and workload in steering, DSC 2015 Europe: Driving Simulation Conference & Exhibition, Tübingen, Germany.
Glatz C, Bülthoff HH and Chuang LL (September-1-2015) Attention Enhancement During Steering Through Auditory Warning Signals, Workshop on Adaptive Ambient In-Vehicle Displays and Interactions In conjunction with AutomotiveUI 2015 (WAADI'15), 1-5.

Export as:
BibTeX, XML, Pubman, Edoc, RTF


Cognition & Control in Human-Machine Systems

We investigate how humans process information, relevant for the effective control of machine systems, such as vehicles. Machines extend our physical capacity to sense and interact with our environments. For example, collision avoidance systems in an aircraft allow the pilot to be aware of fast moving traffic before they are even within range of human sight. Meanwhile, the pilot selectively relies on information provided by the system, to determine and execute the appropriate combination of actions, necessary for effectively maneuvering of the aircraft.
This continuous interaction between man and machine comprise a closed loop system. Information is constantly exchanged between man and machine, which is subsequently processed and acted on according to their respective cognitive and control processes. Our group employs eye-tracking, motion capture and electroencephalography to define the capacity of a human operator to interact in tandem with a responsive machine system. In particular, vehicle models with control dynamics have been well-defined and engineered for their intended purpose. We believe that doing so will extend our current understanding of attentional processes and motor control. In addition, we are motivated to apply our findings to the development of novel and more effective interfaces for information visualization and shared control.

Main research areas

Estimating perceptual-motor workload from EEG

The goal of this project is to extract EEG features that can reliably index the amount of workload that the operator is experiencing in the domain of perceptual-motor control. Research into EEG markers of mental workload have tended to be focused on aspects such as sustained attention or working memory. Here, we are motivated to estimate perceptual-motor fatigue of the operator before potentially fatal decrements in performance occur.


Detection and recognition during steering

High perceptual motor demands can reduce our capacity to attend to secondary tasks. For example, we could fail to notice the sudden appearance of a crossing pedestrian, especially under severe driving conditions. In this line of research, we seek to understand how our capacity for detecting and recognizing peripheral events vary with increasing demands in the control task (e.g., instability).


Gaze control for relevant information retrieval

We move our eyes to actively select and process task-relevant information in real-time. By monitoring how eye-movements are coordinated during control maneuvers, we are able to determine aspects of the visual scene that support the operator’s control capabilities. Our research in this area has two emphases. The first involves developing algorithms for estimating, filtering and analyzing natural gaze in real-time and under challenging scenarios (e.g., cockpit environment). The second targets a fundamental understanding of how eye-movements are coordinated so as to handle shifts in task priorities.


Robust EEG measurement in mobile workspaces

EEG signals can suffer from artefacts due to electromagnetic noise or muscle activity. These noise sources can be amplified in settings that involve a heavy use of electrical equipment and voluntary user movements, such as moving-base flight simulators. Here, we seek to enable EEG recordings in such demanding workspaces by developing robust measurement paradigms and filter algorithms.

Application for internships/lab-rotations

For students (at BSc or MSc level) interested in conducting a student internship in the lab, please contact Opens window for sending emailDr. Lewis Chuang. Include a CV and short letter of motivation for why you would like to conduct an internship in the lab. Please note that we normally do not consider internships that are shorter than 3 months (with an exception for lab-rotations from the Opens external link in new windowGraduate School for Neuroscience, Tuebingen).
Last updated: Friday, 23.02.2018