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Did You Notice? Neuronal Processing of Multimodal Mobile Phone Feedback
Citation key antons2013b
Author Antons, Jan-Niklas and Arndt, Sebastian and Seebode, Julia and Schleicher, Robert and Möller, Sebastian
Title of Book CHI '13 Extended Abstracts on Human Factors in Computing Systems
Pages 325–330
Year 2013
ISBN 978-1-4503-1952-2
DOI 10.1145/2468356.2468414
Location Paris, France
Address New York, NY, USA
Month apr
Note Electronic/online
Publisher ACM
Series CHI EA '13
How Published Poster
Abstract To acknowledge information received by a mobile de-vice, a number of feedback modalities are available for which human information processing is still not com-pletely understood. This paper focuses on how different feedback modalities are perceived by users introducing a test method that is new in this field of research. The evaluation is done via standard self-assessment and by analyzing brain activity [electroencephalogram (EEG)]. We conducted an experiment with unimodal and multi-modal feedback combinations, and compared behavior-al user data to EEG data. We could show that EEG is a feasible method for quantifying conscious processing of feedback in different modalities as it correlates highly with subjective ratings. EEG can thus be considered an additional tool for assessing the effectiveness of feed-back, revealing conscious and potential non-conscious information processing.
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