Detecting interruption events using EEG

Frank Bolton; Dov Te’Eni; Neta B. Maimon; Eran Toch

doi:10.1109/lifetech52111.2021.9391915

Detecting interruption events using EEG

Frank Bolton, Dov Te’Eni, Neta B. Maimon, Eran Toch

Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

Contemporary computing devices subject their users to continuous interruptions that can seriously harm productivity and well-being. Understanding how people react to notifications can provide valuable information in managing undesirable interruptions. We test whether a wearable EEG system can detect interruption decision events. Participants in a lab experiment (n=15) received notifications while carrying out a primary task, at the same time their brain activity was recorded with a wearable EEG system. We show that specific EEG features can distinguish between notifications that interrupt the user’s activity and notifications that the user can disregard. Our results demonstrate that wearable EEG can serve as a basis for managing interruptions.

Original language	English
Title of host publication	LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	33-34
Number of pages	2
ISBN (Electronic)	9781665418751
DOIs	https://doi.org/10.1109/lifetech52111.2021.9391915
State	Published - 9 Mar 2021
Externally published	Yes
Event	3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021 - Nara, Japan Duration: 9 Mar 2021 → 11 Mar 2021

Publication series

Name	LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies

Conference

Conference	3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021
Country/Territory	Japan
City	Nara
Period	9/03/21 → 11/03/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Keywords

EEG
Interruption
Mental load
Workload

Access to Document

10.1109/lifetech52111.2021.9391915

Cite this

Bolton, F., Te’Eni, D., Maimon, N. B., & Toch, E. (2021). Detecting interruption events using EEG. In LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (pp. 33-34). Article 9391915 (LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/lifetech52111.2021.9391915

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abstract = "Contemporary computing devices subject their users to continuous interruptions that can seriously harm productivity and well-being. Understanding how people react to notifications can provide valuable information in managing undesirable interruptions. We test whether a wearable EEG system can detect interruption decision events. Participants in a lab experiment (n=15) received notifications while carrying out a primary task, at the same time their brain activity was recorded with a wearable EEG system. We show that specific EEG features can distinguish between notifications that interrupt the user{\textquoteright}s activity and notifications that the user can disregard. Our results demonstrate that wearable EEG can serve as a basis for managing interruptions.",

keywords = "EEG, Interruption, Mental load, Workload",

author = "Frank Bolton and Dov Te{\textquoteright}Eni and Maimon, {Neta B.} and Eran Toch",

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Bolton, F, Te’Eni, D, Maimon, NB & Toch, E 2021, Detecting interruption events using EEG. in LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies., 9391915, LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies, Institute of Electrical and Electronics Engineers Inc., pp. 33-34, 3rd IEEE Global Conference on Life Sciences and Technologies, LifeTech 2021, Nara, Japan, 9/03/21. https://doi.org/10.1109/lifetech52111.2021.9391915

Detecting interruption events using EEG. / Bolton, Frank; Te’Eni, Dov; Maimon, Neta B. et al.
LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies. Institute of Electrical and Electronics Engineers Inc., 2021. p. 33-34 9391915 (LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Bolton F, Te’Eni D, Maimon NB, Toch E. Detecting interruption events using EEG. In LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies. Institute of Electrical and Electronics Engineers Inc. 2021. p. 33-34. 9391915. (LifeTech 2021 - 2021 IEEE 3rd Global Conference on Life Sciences and Technologies). doi: 10.1109/lifetech52111.2021.9391915

Detecting interruption events using EEG

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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