Literature DB >> 19490515

Eye movements and visuospatial problem solving: identifying separable phases of complex cognition.

Christoph P Kaller1, Benjamin Rahm, Kristina Bolkenius, Josef M Unterrainer.   

Abstract

Identifying overtly observable indicators of cognitive processes should provide a promising basis for a more precise tracking of the associated cognitive and neural events. In the current study we used recordings of eye movements to gain deeper insight into the time course of visuospatial problem solving as measured by the Tower of London. Single-trial, saccade-locked analyses revealed that, despite the complexity of the implemented task, gaze alternations between start and goal state followed a highly regular pattern. Consistent with the buildup of an internal representation, the first two fixations were of constant duration and unaffected by experimental variations of planning demands. Instead, planning manipulations exclusively influenced the duration of the very last fixation before problem execution. Our results demonstrate that different phases of complex cognition can be identified on a single-trial level using eye movement analyses.

Mesh:

Year:  2009        PMID: 19490515     DOI: 10.1111/j.1469-8986.2009.00821.x

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  3 in total

1.  Differential impact of continuous theta-burst stimulation over left and right DLPFC on planning.

Authors:  Christoph P Kaller; Katharina Heinze; Annekathrein Frenkel; Claus H Läppchen; Josef M Unterrainer; Cornelius Weiller; Rüdiger Lange; Benjamin Rahm
Journal:  Hum Brain Mapp       Date:  2011-10-14       Impact factor: 5.038

2.  Human haptic perception is interrupted by explorative stops of milliseconds.

Authors:  Martin Grunwald; Manivannan Muniyandi; Hyun Kim; Jung Kim; Frank Krause; Stephanie Mueller; Mandayam A Srinivasan
Journal:  Front Psychol       Date:  2014-04-09

3.  Predicting Spatial Visualization Problems' Difficulty Level from Eye-Tracking Data.

Authors:  Xiang Li; Rabih Younes; Diana Bairaktarova; Qi Guo
Journal:  Sensors (Basel)       Date:  2020-03-31       Impact factor: 3.576

  3 in total

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