Electrophysiological evidence for differential semantic processing of words and objects presented in augmented reality

Head-worn augmented reality (AR) offers exciting possibilities to help users learn new information. By blending digital content with the learner's real-world environment, AR can create engaging and enjoyable experiences that may improve knowledge retention. Electroencephalography (EEG) allows f...

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Main Authors: Tom Bullock, Emily Machniak, Joyce Passananti, Kangyou Yu, Radha Kumaran, You-Jin Kim, Jordan Garrett, Madhav Viswesvaran, Julia Ram, Tobias Höllerer, Barry Giesbrecht
Format: Article
Language:English
Published: Elsevier 2025-05-01
Series:Computers in Human Behavior Reports
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Online Access:http://www.sciencedirect.com/science/article/pii/S2451958825000922
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author Tom Bullock
Emily Machniak
Joyce Passananti
Kangyou Yu
Radha Kumaran
You-Jin Kim
Jordan Garrett
Madhav Viswesvaran
Julia Ram
Tobias Höllerer
Barry Giesbrecht
author_facet Tom Bullock
Emily Machniak
Joyce Passananti
Kangyou Yu
Radha Kumaran
You-Jin Kim
Jordan Garrett
Madhav Viswesvaran
Julia Ram
Tobias Höllerer
Barry Giesbrecht
author_sort Tom Bullock
collection DOAJ
description Head-worn augmented reality (AR) offers exciting possibilities to help users learn new information. By blending digital content with the learner's real-world environment, AR can create engaging and enjoyable experiences that may improve knowledge retention. Electroencephalography (EEG) allows for discreet, continuous monitoring of brain activity at the scalp. This study examined whether the N400 event-related potential (ERP), a brain response linked to semantic processing, could be incorporated into a system combining AR and EEG. While the N400 is reliably elicited by a mismatch in meaning between two sequentially presented stimuli, there are two key outstanding questions. First, how do 3D objects presented in AR impact semantic processing as measured by the N400? Second, is there a reliable N400 to mismatches between an object and its name, in addition to mismatches in meaning? Twenty-four young adults viewed sequential pairs of stimuli through an AR headset while EEG was recorded. We manipulated whether the first stimulus was a 3D object or written word and whether the second stimulus matched or mismatched the first in terms of meaning or name. Participants' reaction times were slower for mismatching pairs when compared to matching pairs in all conditions. Averaged ERP and single-trial classification analyses showed robust differences in brain responses. Additionally, participants were more accurate and exhibited faster behavioral and brain responses for naming compared to meaning judgments. These results suggest the N400 could be used in a combined AR-EEG system to provide feedback on semantic understanding, potentially opening exciting new avenues for enhancing learning.
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spelling doaj-art-e5acb3e9eb284b63befc9e38ec1bcbf92025-08-20T02:37:45ZengElsevierComputers in Human Behavior Reports2451-95882025-05-011810067710.1016/j.chbr.2025.100677Electrophysiological evidence for differential semantic processing of words and objects presented in augmented realityTom Bullock0Emily Machniak1Joyce Passananti2Kangyou Yu3Radha Kumaran4You-Jin Kim5Jordan Garrett6Madhav Viswesvaran7Julia Ram8Tobias Höllerer9Barry Giesbrecht10Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States; Institute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara, CA, United States; Corresponding author. Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States.Department of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States; Institute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara, CA, United StatesDepartment of Computer Science, University of California, Santa Barbara, Santa Barbara, CA, United StatesDepartment of Computer Science, University of California, Santa Barbara, Santa Barbara, CA, United StatesDepartment of Computer Science, University of California, Santa Barbara, Santa Barbara, CA, United StatesDepartment of Computer Science, University of California, Santa Barbara, Santa Barbara, CA, United StatesDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States; Institute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara, CA, United StatesDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United StatesDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United StatesInstitute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara, CA, United States; Department of Computer Science, University of California, Santa Barbara, Santa Barbara, CA, United StatesDepartment of Psychological and Brain Sciences, University of California, Santa Barbara, Santa Barbara, CA, United States; Institute for Collaborative Biotechnologies, University of California, Santa Barbara, Santa Barbara, CA, United StatesHead-worn augmented reality (AR) offers exciting possibilities to help users learn new information. By blending digital content with the learner's real-world environment, AR can create engaging and enjoyable experiences that may improve knowledge retention. Electroencephalography (EEG) allows for discreet, continuous monitoring of brain activity at the scalp. This study examined whether the N400 event-related potential (ERP), a brain response linked to semantic processing, could be incorporated into a system combining AR and EEG. While the N400 is reliably elicited by a mismatch in meaning between two sequentially presented stimuli, there are two key outstanding questions. First, how do 3D objects presented in AR impact semantic processing as measured by the N400? Second, is there a reliable N400 to mismatches between an object and its name, in addition to mismatches in meaning? Twenty-four young adults viewed sequential pairs of stimuli through an AR headset while EEG was recorded. We manipulated whether the first stimulus was a 3D object or written word and whether the second stimulus matched or mismatched the first in terms of meaning or name. Participants' reaction times were slower for mismatching pairs when compared to matching pairs in all conditions. Averaged ERP and single-trial classification analyses showed robust differences in brain responses. Additionally, participants were more accurate and exhibited faster behavioral and brain responses for naming compared to meaning judgments. These results suggest the N400 could be used in a combined AR-EEG system to provide feedback on semantic understanding, potentially opening exciting new avenues for enhancing learning.http://www.sciencedirect.com/science/article/pii/S2451958825000922Augmented realityEEGERPClassificationN4003D models
spellingShingle Tom Bullock
Emily Machniak
Joyce Passananti
Kangyou Yu
Radha Kumaran
You-Jin Kim
Jordan Garrett
Madhav Viswesvaran
Julia Ram
Tobias Höllerer
Barry Giesbrecht
Electrophysiological evidence for differential semantic processing of words and objects presented in augmented reality
Computers in Human Behavior Reports
Augmented reality
EEG
ERP
Classification
N400
3D models
title Electrophysiological evidence for differential semantic processing of words and objects presented in augmented reality
title_full Electrophysiological evidence for differential semantic processing of words and objects presented in augmented reality
title_fullStr Electrophysiological evidence for differential semantic processing of words and objects presented in augmented reality
title_full_unstemmed Electrophysiological evidence for differential semantic processing of words and objects presented in augmented reality
title_short Electrophysiological evidence for differential semantic processing of words and objects presented in augmented reality
title_sort electrophysiological evidence for differential semantic processing of words and objects presented in augmented reality
topic Augmented reality
EEG
ERP
Classification
N400
3D models
url http://www.sciencedirect.com/science/article/pii/S2451958825000922
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