Dr. Jan Tünnermann

Research Fellow

Contact information

+49 6421 28-22160 +49 6421 28-28948 jan.tuennermann@ 1 Gutenbergstraße 18
35032 Marburg
G|01 Institutsgebäude (Room: 02056 resp. +2056)

Research Interests

Visual Foraging
Visual Attention and Temporal-Order Perception
Cognitive Modeling and Bayesian Estimation
Artificial Visual Attention 

Selected Publications

Krüger A.*, Tünnermann J.*, Stratmann, L., Briese, L., Dressler F., & Scharlau I. (in press) TVA in the wild: Applying the theory of visual attention to game-like and less controlled experiments. Open Psychology. Note: * indicates shared first authors.

Kneuper, P., Kruse, S., Luchterhandt, B., Tünnermann, J., Scharlau, I., & Scheytt, C. (2021) Sensory substitution device for the visually impaired using 122 GHz radar and tactile feedback . In The 17th European Radar Conference.

Bergmann, N., Tünnermann, J., & Schubö, A. (2020). Reward-predicting distractor orientations support contextual cueing: Persistent effects in homogeneous distractor contexts. Vision Research, 171, 53–63.

Bergmann, N., Tünnermann, J., & Schubö, A. (2019). Which search are you on? Adapting to color while searching for shape. Attention, Perception, & Psychophysics, 82, 457–477.

Tünnermann, J., Born, C., & Mertsching, B. (2019). Saliency from Growing Neural Gas: Learning pre-attentional structures for a flexible attention system. IEEE Transactions on Image Processing, 28(11), 5296-5307.

Stratmann, L., Buse, D. S., Heinovski, J., Klingler, F., Sommer, C., Tünnermann, J., Scharlau, I. & Dressler, F. (2019). Psychological Feasibility of a Virtual Cycling Environment for Human-in-the-Loop Experiments. In Proceedings of Jahrestagung der Gesellschaft für Informatik (INFORMATIK 2019), 1st Workshop on ICT based Collision Avoidance for VRUs (ICT4VRU 2019), vol. LNI P-295,  pp. 185–194.

Mohamed M. A., Tünnermann, J., & Mertsching, B.(2018). Seeing signs of danger: Attention accelerated hazmat label detection. In: Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics. 1–6.

Tünnermann, J., & Scharlau, I. (2018). Stuck on a plateau? A model-based approach to fundamental issues in visual temporal-order judgments. Vision. 2, 29.

Tünnermann, J., & Scharlau, I. (2018). Poking left to be right? A model-based analysis of temporal order judged by mice. Advances in Cognitive Psychology. 14, 39–50.

Tünnermann, J., Grüne, S., & Mertsching, B. (2017). Selection and execution of simple actions via visual attention and direct parameter specification. In:  Proceedings of the International Conference on Computer Vision Systems. 404–414.

Tünnermann, J., Krüger, A., & Scharlau, I.(2017). Measuring attention and visual processing speed by model-based analysis of temporal-order judgments. Journal of Visualized Experiments. 119, e54856.

Tünnermann, J. & Scharlau, I. (2016). Peripheral visual cues: Their fate in processing and effects on attention and temporal-order perception. Frontiers in Psychology. 7:1442.

Krüger, A., Tünnermann, J., & Scharlau, I. (2016). Fast and conspicuous? Quantifying salience with the theory of visual attention. Advancesin Cognitive Psychology, 12, 20–38.

Tünnermann, J., Petersen, A., & Scharlau, I. (2015). Does attention speed up processing? Decreases and increases of processing rates in visual prior entry. Journal of Vision, 15(3), 1–27.

Tünnermann, J., Krüger, N., Mustafa, W., & Mertsching, B. (2015). Affordance estimation enhances artificial visual attention: Evidence from a change-blindness study. Cognitive Computation, 7, 526–538.

Tünnermann, J., & Mertsching, B. (2014). Region-based artificial visual attention in space and time. Cognitive Computation, 6, 125–143.

Tünnermann, J., Born, C., & Mertsching, B. (2013). Top-down visual attention with complex templates. In: Proceedings of VISAPP (1), 370–377.

Tünnermann, J. & Mertsching, B. (2012). Continuous region-based processing of spatiotemporal saliency. In: Proceedings of VISAPP (1), 230–239.

Tseng, P., Tünnermann, J., Roker-Knight, N., Winter, D., Scharlau, I., & Bridgeman, B. (2010). Enhancing implicit change detection through action. Perception, 39, 1311–1321.

Find more publications and most PDF full texts at ResearchGate. Connect with me on Twitter.

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