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Measuring Experience and Competence by Means of Electrodermal Activity – The Model of Experience-Dependent Somatic Activation

  • Tobias HeineEmail author
  • Barbara Deml
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 827)

Abstract

When designing automated systems where users are still expected to take over control (e.g. automated driving up to level 3), it is important to prevent a critical loss of experience-based competence. Based on the somatic marker hypothesis, a model of experience-dependent somatic activation is proposed. It offers a theoretical linkage between the level of experience of a user and the mean somatic activation that can be measured by means of electrodermal activity. The model is consistent with both empirical findings and the theoretical conception of somatic markers.

Keywords

Electrodermal activity Somatic marker hypothesis Psychophysiology 

References

  1. 1.
    DIN Deutsches Institut für Normung e.V. (2016) Grundsätze der Ergonomie für die Gestaltung von Arbeitssystemen (6385)Google Scholar
  2. 2.
    de Winter JCF, Hancock PA (2015) Reflections on the 1951 fitts list: do humans believe now that machines surpass them? Procedia Manuf 3:5334–5341.  https://doi.org/10.1016/j.promfg.2015.07.641CrossRefGoogle Scholar
  3. 3.
    SAE International (2014) Taxonomy and Definitions for Terms Related to On-Road Motor Vehicle Automated Driving SystemsGoogle Scholar
  4. 4.
    Bainbridge L (1983) Ironies of automation. Automatica 19(6):775–779.  https://doi.org/10.1016/0005-1098(83)90046-8CrossRefGoogle Scholar
  5. 5.
    Damasio AR (1994) Descartes’ error: emotion, reason, and the human brain. Putnam, New YorkGoogle Scholar
  6. 6.
    Bechara A, Damasio H, Tranel D, Damasio AR (1997) Deciding advantageously before knowing the advantageous strategy. Science 275(5304):1293–1295CrossRefGoogle Scholar
  7. 7.
    Kinnear N, Kelly SW, Stradling S, Thomson J (2013) Understanding how drivers learn to anticipate risk on the road: a laboratory experiment of affective anticipation of road hazards. Accid Anal Prev 50:1025–1033CrossRefGoogle Scholar
  8. 8.
    Heine T (2017) Vor-Sicht im Straßenverkehr - Experimentelle Untersuchung der somatischen Antizipation von Risiko. Dissertation, Karlsruher Institut für Technologie, Karlsruhe https://publikationen.bibliothek.kit.edu/1000075541
  9. 9.
    Bechara A (2004) The role of emotion in decision-making: evidence from neurological patients with orbitofrontal damage. Brain Cogn 55(1):30–40CrossRefGoogle Scholar
  10. 10.
    Quick JA, Bukoski AD, Doty J, Bennett BJ, Crane M, Barnes SL (2017) Objective measurement of clinical competency in surgical education using electrodermal activity. J Surg. Educ. 74(4):674–680.  https://doi.org/10.1016/j.jsurg.2017.01.007CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of Human and Industrial EngineeringKarlsruhe Institute of TechnologyKarlsruheGermany

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