Research Group: Cognition and Control in Man-Machine Systems
Supervisor: Lewis Chuang
Co-supervisor: Joost Venrooij
My research investigates how the electroencephalographic (EEG) mu rhythm (8-13 Hz) can be used to assess shared control in man-machine interaction. I am mostly interested in haptic support systems during flying tasks.
To date, researchers have mainly focused on the operator's performance when evaluating the utility of haptic feedback. EEG measurements are rarely performed. However, changes in motor behavior are accompanied by different patterns of neural desynchronisation. Therefore, it is worthwhile investigating changes in mu rhythm for different shared control parameters. This will allow us to assess the consequences of shared control to the cortical mechanisms of motor behavior.
Haptic support systems have been designed to assist the operator in closed-loop-control tasks (e.g. driving and flying). Specifically, direct haptic feedback forces (DHF) can be applied over the control device (e.g. joystick) to pull the operator towards an optimal trajectory. DHF have been shown to improve performance  and increase safety . Nonetheless, the operator might demonstrate over-reliance on the assistance or resist the DHF . In order to examine the role of the operator during increasing haptic aid, we want to develop a robust electrophysiological marker reflecting neural motor effort during shared control. This marker can be integrated with existing measures for control performance.
The main goal of the project is to assess how changes in control performance are associated with changes in electroencephalographic (EEG) mu activity during increasing haptic aid in environments with and without motion feedback.
Participants will perform a compensatory tracking task while different levels of haptic aid are provided over the control device. The experiment is based on a DHF system developed in . During the task EEG recordings will be acquired.
Haptic feedback improves performance (i.e., the inverse of the root mean square error (RMSE)) for experienced and inexperienced subjects. The operator’s contribution (RMSE operator/RMSE haptic aid) decreased with increasing haptic aid up to the 50% gain level. The contribution of experienced subjects plateaued between the 50% and 100% condition. However, the inexperienced subjects seemed to rely on the support system during the 50% condition (operator’s contribution ≈1). This changed for the 100 % level where they started to actively contribute to performance (operator’s contribution>1).
Figure 2. The experienced and inexperienced operator’s performance as well as contribution to performance relative to the DHF (modified from ).
These findings suggest that the operator’s control behavior changes with increasing haptic support. Nonetheless, increasing haptic support does not necessarily result in over-reliance and can improve performance for both experienced and inexperienced subjects.
 , , und (2014) Pilot Adaptation to Different Classes of Haptic Aids in Tracking Tasks Journal of Guidance, Control, and Dynamics 37(6) 1741-1753.
 K. K. Tsoi, M. Mulder, and D. A. Abbink (2010) Balancing safety and support: Changing lanes with a haptic lane-keeping support system 2010 IEEE Int. Conf. Syst. Man Cybern 1236–1243.
 B. A. C. Forsyth and K. E. MacLean (2006) Predictive haptic guidance: intelligent user assistance for the control of dynamic tasks. IEEE Trans. Vis. Comput 12 103-13.
 , , und (2014): The Role of Direct Haptic Feedback in a Compensatory Tracking Task, 12th Biannual Conference of the German Cognitive Science Society (KogWis 2014), Tübingen, Germany, Cognitive Processing, 15(Supplement 1) S71.
|2014- current||PhD candidate at the International Max Planck Research School, Graduate Training Center of Neuroscience Tübingen
|2011-13||MSc Experimental and Clinical Neurosciences, supported by the Elite Network of Bavaria, University of Regensburg|
|2009-11||BSc Biology, University of Regensburg|
|4.2013-7.2013||Research assosiate at the University Hospital of Zurich, Neurology Department
|6.2012-3.2013||Research Internship at the University Hospital of Zurich, Neurology Department
|4.-6.2012||Research Internship at the Psychiatric University Clinic of Zurich, Deprtment of Gerontopsychiatry|
|2.-4.2012||Research Internship at the Experimental Psychology Department, University of Regensburg|
|6.-9.2012||Elite Network of Bavaria|
, , , , and (March-2015) Increased sleep need and daytime sleepiness 6 months after traumatic brain injury: a prospective controlled clinical trial
Brain 138(3) 726-735.
, , , ,
, , , and (November-13-2016): EEG oscillatory modulations (10-12 Hz) discriminate for voluntary motor control and limb movement, 46th Annual Meeting of the Society for Neuroscience (Neuroscience 2016), San Diego, CA, USA.
, , and (March-10-2015): Direct haptic feedback benefits control performance during steering, 57th Conference of Experimental Psychologists (TeaP 2015), Hildesheim, Germany.
, , and (September-2014): The Role of Direct Haptic Feedback in a Compensatory
Tracking Task, 12th Biannual Conference of the German Cognitive Science Society (KogWis 2014), Tübingen, Germany, Cognitive Processing, 15(Supplement 1) S71.
, , and (June-2014): The Role of Direct Haptic Feedback in a Compensatory Tracking Task, 6th International Conference on Brain and Cognitive Engineering (BCE 2014), Tübingen, Germany.
, , , , and (May-16-2014): Increased sleep need after traumatic brain injury: A comparative behavioural and histological study in rats and humans, Joint Annual Meeting 2014 Swiss Headache Society, Swiss Society for Sleep Research, Sleep Medicine and Chronobiology (SKG 2014), Luzern, Switzerland.
, , , , , , , , ,
, , , , and (June-9-2013): State space analysis of sleep after traumatic brain injury in rats, 23rd Meeting of the European Neurological Society, Barcelona, Spain.
, , , , and (February-2-2013): Sleep Wake Disturbances after Traumatic Brain Injury in Rats, 17th Annual Meeting of the Swiss Society for Neuroscience (SSN 2013), Geneva, Switzerland.
, , , and (February-2-2013): State Space Analysis of Sleep after Traumatic Brain Injury in Rats, 17th Annual Meeting of the Swiss Society for Neuroscience (SSN 2013), Geneva, Switzerland.
, and (June-19-2012) Abstract Talk: Combining fiber tracking and functional brain imaging for revealing brain networks involved in auditory–visual integration in humans, 13th International Multisensory Research Forum (IMRF 2012), Oxford, UK, Seeing and Perceiving, 25(0) 5.