Project Leaders

Dr. Paolo Pretto 
Phone: +49 7071 601-644 
Fax: +49 7071 601-616 
paolo.pretto[at]tuebingen.mpg.de

Dr. Ksander de Winkel
Phone: +49 7071 601-643
Fax: +49 7071 601-616 
Opens window for sending emailksander.dewinkel[at]tuebingen.mpg.de

News

February 13, 2017
Two new papers published in PLoS ONE:
 
- Nesti A, de Winkel K, Bülthoff HH (2017) Accumulation of Inertial Sensory Information in the Perception of Whole Body Yaw Rotation.
(Opens external link in new windowPLoS ONE 12(1): e0170497)
 
- de Winkel KN, Katliar M, Bülthoff HH (2017) Causal Inference in Multisensory Heading Estimation.
(Opens external link in new windowPLoS ONE 12(1): e0169676)
 
January 30, 2017
Opens external link in new window27th Oculomotor Meeting - Program
The Program of the 27th Oculomotor meeting (3-4 Feb) is now available for download.
 
October 25, 2016
Opens internal link in current window27th Oculomotor Meeting
The website for the 27th Oculomotor meeting - held 3-4 February at our institute - is online! Follow the link above.
 
September 9, 2016
Opens external link in new windowDriving Simulation Conference 2016 VR
Joost Venrooij presented a paper and Paolo Pretto delivered a keynote presentation at the Driving Simulation Conference 2016 VR in Paris, France. The paper was titled: "Comparison between filter- and optimization-based motion cueing in the Daimler Driving Simulator". The keynote was titled: "Twenty years of DSC: a review of driver's motion perception research".

Opens internal link in current windowNews Archive

Five most recent Publications

Nesti A, de Winkel K and Bülthoff HH (January-2017) Accumulation of Inertial Sensory Information in the Perception of Whole Body Yaw Rotation PLoS ONE 12(1) 1-14.
de Winkel KN, Katliar M and Bülthoff HH (January-2017) Causal Inference in Multisensory Heading Estimation PLoS ONE 12(1) 1-20.
Miermeister P, Lächele M, Boss R, Masone C, Schenk C, Tesch J, Kerger M, Teufel H, Pott A and Bülthoff HH (October-2016) The CableRobot Simulator: Large Scale Motion Platform Based on Cable Robot Technology, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), IEEE, Piscataway, NJ, USA, 3024-3029.
Venrooij J, Cleij D, Katliar M, Pretto P, Bülthoff HH, Steffen D, Hoffmeyer FW and Schöner H-P (September-8-2016) Comparison between filter- and optimization-based motion cueing in the Daimler Driving Simulator, DSC 2016 Europe: Driving Simulation Conference & Exhibition, 31-38.
pdf
Nooij SAE, Nesti A, Bülthoff HH and Pretto P (August-2016) Perception of rotation, path, and heading in circular trajectories Experimental Brain Research 234(8) 2323–2337.

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Multi-sensory self-motion perception


In order to understand how different sensory information - e.g., from the eyes and the vestibular organs - results in an integrated percept of self-motion, we perform psychophysical experiments to measure multi-sensory self-motion perception. For example, we measure the sensitivity of our perceptual system in terms of perceptual thresholds. In doing so, we gain knowledge about the smallest detectable motion and the smallest noticeable change in motion characteristics.
 

 
We aim at extending the current knowledge on self-motion perception by performing experiments in conditions that closely resemble the richness and complexity of real-life situations (e.g. wide motion ranges, driving task). Specifically, we measure self-motion sensitivity while we manipulate (i) motion direction and intensity (ii) source of sensory information (visual, inertial, visual-inertial) (iii) mental and physical workload. Experimental data are used to derive psychophysical laws that analytically relate physical and perceived motion stimuli.
Sensitivity measures such as differential thresholds (i.e. the smallest perceivable change in motion intensity) are estimated in different conditions using psychophysical adaptive methods. We use behavioral tasks to measure subjects' performances both objectively (e.g. errors, delays, control signals) and subjectively (e.g. verbal reports, forced-choice decision tasks).
Human differential thresholds are found to increase with increasing stimulus intensity following a trend described well by a convex power law, revealing a nonlinearity in the perception of self-motion. Similar trends are found for visual only, inertial only and congruent visual-inertial cues (see Figure). Besides its ecological validity, the latter finding is of particular interest because it contradicts current theories of multisensory integration in perception, which predict higher sensitivity in the presence of combined visual and inertial cues. Motion sensitivity also decreases when different simulator motions are combined (e.g. rotation and translation). Furthermore, sensitivity can drop when performing an active control task. We identified and implemented psychophysical laws in a multisensory self-motion perception model that now captures the nonlinear relationship between perception and motion intensity.


Differential thresholds for head centered yaw rotations

Relevant publications

4. Nesti A, Nooij SAE, Losert M, Bülthoff HH and Pretto P (May-2016) Roll rate perceptual thresholds in active and passive curve driving simulation Simulation: Transactions of the Society for Modeling and Simulation International 92(5) 417-426.
3. Nesti A, Beykirch KA, Pretto P and Bülthoff HH (December-2015) Human discrimination of head-centred visual–inertial yaw rotations Experimental Brain Research 233(12) 3553-3564.
2. Nesti A, Beykirch KA, Pretto P and Bülthoff HH (March-2015) Self-motion sensitivity to visual yaw rotations in humans Experimental Brain Research 233(3) 861-869.
1. Nesti A, Beykirch KA, MacNeilage PR, Barnett-Cowan M and Bülthoff HH (April-2014) The importance of stimulus noise analysis for self-motion studies PLoS ONE 9(4) 1-8.

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Last updated: Friday, 24.03.2017