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Toward Brain-Based Interaction Between Humans and Technology

Does Age Matter?
 
: Vukelic, Mathias; Pollmann, Kathrin; Peissner, Matthias

:

Ayaz, Hasan (Ed.):
Neuroergonomics. The Brain at Work and in Everyday Life
New York: Academic Press, 2019
ISBN: 978-0-12-811926-6
ISBN: 978-0-12-811927-3
ISBN: 0-12-811926-8
ISBN: 0-12-811927-6
S.105-109
European Commission EC
FP7-ICT; 610510; Prosperity4All
Ecosystem infrastructure for smart and personalised inclusion and PROSPERITY for ALL stakeholders
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
16SV7195K; EMOIO
Gehirn-Computer-Schnittstelle zur Emotionserkennung für neuro-adaptive Assistenzsysteme
Englisch
Aufsatz in Buch
Fraunhofer IAO ()

Abstract
Brain-based interaction is discussed as a strategy to make assistive technologies more user-oriented. We investigated whether aging influences discrimination of neuroelectrical signatures underlying affective user reactions to system-initiated assistance behavior. Electroencephalography was used to examine the reactivity of the cortical system for two different age groups during interaction with a system that induce positive and negative affective events by supporting or impeding goal achievement during a navigation task. We found that affect processing during the interaction task remains unaffected by natural cortical alteration processes, but varied to different degrees across cortical regions between the two age groups. More specifically, discrimination based on P300 correlated with age, thus revealing a distinct intrinsic neurocognitive strategy in the aging brain. Addressing these neuroelectrical signatures may enable neuroadaptive assistance systems to perform user-specific adjustments.

: http://publica.fraunhofer.de/dokumente/N-537313.html