short-paper

Starring into the void?: Classifying Internal vs. External Attention from EEG

Authors:

Maximilian Scherer,

Tanja SchultzAuthors Info & Claims

NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction

Article No.: 47, Pages 1 - 4

https://doi.org/10.1145/2971485.2971555

Published: 23 October 2016 Publication History

Abstract

For any HCI system, it would be a great advantage if it was aware of the attentional state of its user: Is he or she paying attention to external stimuli provided by the user's environment or is the user focusing his or her attention on internal mental tasks? In this paper, we propose a model for the discrimination of internal and external attention by using Electroencephalography. We describe the experiment we conducted to collect data of internal and external attention, describe our setup for classification and discuss the classifications results.

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Cited By

Chiossi FOu CGerhardt CPutze FMayer S(2025)Designing and Evaluating an Adaptive Virtual Reality System using EEG Frequencies to Balance Internal and External Attention StatesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103433196:COnline publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103433
Chiossi FOu CPutze FMayer S(2024)Detecting Internal and External Attention in Virtual Reality: A Comparative Analysis of EEG Classification MethodsProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701579(381-395)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701579
Long XMayer SChiossi F(2024)Multimodal Detection of External and Internal Attention in Virtual Reality using EEG and Eye Tracking FeaturesProceedings of Mensch und Computer 202410.1145/3670653.3670657(29-43)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670657
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Index Terms

Starring into the void?: Classifying Internal vs. External Attention from EEG
1. Human-centered computing

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Published In

cover image ACM Other conferences

NordiCHI '16: Proceedings of the 9th Nordic Conference on Human-Computer Interaction

October 2016

1045 pages

ISBN:9781450347631

DOI:10.1145/2971485

General Chairs:
Staffan Björk
University of Gothenburg
,
Eva Eriksson
Chalmers University of Technology
,
Program Chairs:
Morten Fjeld
Chalmers University of Technology
,
Susanne Bødker
University of Aarhus
,
Publications Chairs:
Wolmet Barendregt
University of Gothenburg
,
Mohammad Obaid
Chalmers University of Technology

Copyright © 2016 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

Chalmers University of Technology
SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 October 2016

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NordiCHI '16

NordiCHI '16: 9th Nordic Conference on Human-Computer Interaction

October 23 - 27, 2016

Gothenburg, Sweden

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NordiCHI '16 Paper Acceptance Rate 58 of 231 submissions, 25%;

Overall Acceptance Rate 379 of 1,572 submissions, 24%

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Cited By

Chiossi FOu CGerhardt CPutze FMayer S(2025)Designing and Evaluating an Adaptive Virtual Reality System using EEG Frequencies to Balance Internal and External Attention StatesInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103433196:COnline publication date: 1-Feb-2025
https://dl.acm.org/doi/10.1016/j.ijhcs.2024.103433
Chiossi FOu CPutze FMayer S(2024)Detecting Internal and External Attention in Virtual Reality: A Comparative Analysis of EEG Classification MethodsProceedings of the International Conference on Mobile and Ubiquitous Multimedia10.1145/3701571.3701579(381-395)Online publication date: 1-Dec-2024
https://dl.acm.org/doi/10.1145/3701571.3701579
Long XMayer SChiossi F(2024)Multimodal Detection of External and Internal Attention in Virtual Reality using EEG and Eye Tracking FeaturesProceedings of Mensch und Computer 202410.1145/3670653.3670657(29-43)Online publication date: 1-Sep-2024
https://dl.acm.org/doi/10.1145/3670653.3670657
Putze FEilts H(2023)Analyzing the Importance of EEG Channels for Internal and External Attention Detection2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC53992.2023.10394322(4752-4757)Online publication date: 1-Oct-2023
https://doi.org/10.1109/SMC53992.2023.10394322
Vortmann LUrban TPutze F(2023)Machine Learning from Mistakes: Self-Improving Attention Classifier Using Error-Related Potentials2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC53992.2023.10393901(4770-4777)Online publication date: 1-Oct-2023
https://doi.org/10.1109/SMC53992.2023.10393901
Vortmann LWeidenbach PPutze F(2022)AtAwAR Translate: Attention-Aware Language Translation Application in Augmented Reality for Mobile PhonesSensors10.3390/s2216616022:16(6160)Online publication date: 17-Aug-2022
https://doi.org/10.3390/s22166160
Vortmann LCeh SPutze F(2022)Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIsFrontiers in Computer Science10.3389/fcomp.2022.7805804Online publication date: 21-Mar-2022
https://doi.org/10.3389/fcomp.2022.780580
Dudzik BHung H(2022)Exploring the Detection of Spontaneous Recollections during Video-viewing In-the-Wild using Facial Behavior AnalysisProceedings of the 2022 International Conference on Multimodal Interaction10.1145/3536221.3556609(236-246)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3536221.3556609
Putze FPutze SSagehorn MMicek CSolovey E(2022)Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and ReuseACM Transactions on Computer-Human Interaction10.1145/349055429:4(1-43)Online publication date: 31-Mar-2022
https://dl.acm.org/doi/10.1145/3490554
Ortega YMezura-Godoy C(2022)Usability Evaluation of BCI Software Applications: A systematic review of the literatureProgramming and Computer Software10.1134/S036176882208016348:8(646-657)Online publication date: 21-Dec-2022
https://doi.org/10.1134/S0361768822080163
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