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Stress Measurement in Multi-tasking Decision Processes Using Executive Functions Analysis

  • Lucas PalettaEmail author
  • Martin Pszeida
  • Bernhard Nauschnegg
  • Thomas Haspl
  • Raphael Marton
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 953)

Abstract

The presented work aimed to investigate how the impact of cognitive stress would affect the attentional processes, in particular, the performance of the executive functions that are involved in the coordination of multi-tasking processes. The study setup for the proof-of-concept involved a cognitive task as well as a visuomotor task, concretely, an eye-hand coordination task, in combination with an obstacle avoidance task that is characteristic in human-robot collaboration. The results provide the proof that increased stress conditions can actually be measured in a significantly correlated increase of an error distribution as consequence of the precision of the eye-hand coordination. The decrease of performance is a proof that the attentional processes are a product of executive function processes. The results confirm the dependency of executive functions and decision processes on stress conditions and will enable quantitative measurements of attention effects in multi-tasking configurations.

Keywords

Stress measurement Gaze analysis Multi-tasking Executive functions Human-robot collaboration Spatial fixation distribution 

Notes

Acknowledgments

This work has been supported by the Austrian Ministry for Transport, Innovation and Technology (BMVIT) within the project framework CollRob (Collaborative Robotics), as well as by the Austrian BMVIT/FFG by projects MMASSIST II (No. 858623) and FLEXIFF (No. 861264). We would like to thank in particular Norah Neuhuber for her support in the interpretation of the bio-sensor data.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Lucas Paletta
    • 1
    Email author
  • Martin Pszeida
    • 1
  • Bernhard Nauschnegg
    • 1
  • Thomas Haspl
    • 2
  • Raphael Marton
    • 1
  1. 1.Digital - Institute for Information and Communication TechnologiesJoanneum Research Forschungsgesellschaft mbHGrazAustria
  2. 2.Robotics - Institute for Robotics and MechatronicsJoanneum Research Forschungsgesellschaft mbHKlagenfurt am WörtherseeAustria

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