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Project

Spatial Online-Processing of Dynamic Scenes

Realistic Depictions

Duration

Open-end

Funding

DFG-Project "Viewpoint Changes in Multiple Object Tracking"

Description

What happens while watching a dynamic scene? Central for this question is the recent finding that attention is not focused on a single location in space. Instead, participants can visually track up to five or six independently moving objects, even if their own viewing position is continuously changing. We assume that this so-called multiple object tracking (MOT) is an important mechanism for processing audio-visual media, because it may help viewers of films or visitors of virtual realities to stay oriented while observing complex "multi-party" events. Thus, in extension to traditional MOT studies, the effects of various presentation techniques (e.g. film cuts) on the viewers' ability to track multiple objects will be investigated. Additionally, a framework will be developed which enables the examination of eyetracking data in terms of fixations and saccades.

Cooperations

  • Georg Jahn, University of Greifswald
  • Adriane Seiffert, Vanderbilt University, Nashville, TN, USA
  • Till Pfeiffer, PH (College of Education) Karlsruhe.

Publications

  • Jahn, G., Papenmeier, F., Meyerhoff, H.S., & Huff, M. (in press). Spatial reference in multiple object tracking. Experimental Psychology.
  • Meyerhoff, H.S., Huff, M., Papenmeier, F., Jahn, G., & Schwan, S. (2011). Continous visual cues trigger automatic spatial target updating in dynamic scenes. Cognition, 121, 73-82. doi:10.1016/j.cognition.2011.06.001
  • Huff, M., Papenmeier, F., Jahn, G., & Hesse, F.W. (2010). Eye movements across viewpoint changes in multiple object tracking. Visual Cognition, 18 (9), 1368-1391. doi: 10.1080/13506285.2010.495878 
  • Huff, M., Meyerhoff, H. S., Papenmeier, F., & Jahn, G. (2010). Spatial updating of dynamic scenes: Tracking multiple invisible objects across viewpoint changes. Attention, Perception, & Psychophysics, 72 (3), 628-636. doi:10.3758/APP.72.3.628.
  • Papenmeier, F., & Huff, M. (2010). DynAOI: A tool for matching eye-movement data with dynamic areas of interest in animations and movies. Behavior Research Methods, 42, 179-187.
  • Huff, M., Jahn, G., & Schwan, S. (2009). Tracking multiple objects across abrupt viewpoint changes. Visual Cognition, 17 (3), 297-306.