The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities

Leonardo Banh; Fabian Josef Stangl; Gero Strobel; René Riedl

doi:10.1007/978-3-032-00815-2_3

The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities

Leonardo Banh^*
, Fabian Josef Stangl
, Gero Strobel
, René Riedl

^*Korrespondierende/r Autor/-in für diese Arbeit

Research Center Steyr

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

2 Zitate (Scopus)

Abstract

Research in Neuro-Information Systems (NeuroIS) integrates neuroscience methods with Information Systems (IS) research to advance our understanding of human-technology interactions. As neurophysiological data collection methods evolve, the analysis of large and complex data sets remains a significant challenge. Generative Artificial Intelligence (GenAI) offers new opportunities for NeuroIS by improving data analysis, experimental design, and interpretation of neural patterns. This paper systematically reviews 56 studies applying GenAI in NeuroIS and identifies five main research themes: (1) GenAI for Autonomic Nervous System Measurements, (2) GenAI for Brain Research, (3) GenAI for General Applications, (4) GenAI for Genetics, and (5) GenAI for Multimodal Approaches. Our findings highlight how GenAI improves data interpretation, integration, and processing while streamlining the use of research methods. Overall, this review underscores the transformative potential of GenAI in NeuroIS, paving the way for scalable, precise, and dynamic research methodologies in the field.

Originalsprache	Englisch
Titel	Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria
Redakteure/-innen	Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz
Erscheinungsort	Cham
Herausgeber (Verlag)	Springer
Seiten	27-43
Seitenumfang	17
ISBN (elektronisch)	978-3-032-00815-2
ISBN (Print)	978-3-032-00814-5
DOIs	https://doi.org/10.1007/978-3-032-00815-2_3
Publikationsstatus	Veröffentlicht - 2 Jän. 2026
Veranstaltung	NeuroIS Retreat 2025 - Austria Trend Hotel Schloss Wilhelminenberg, Vienna, Österreich Dauer: 26 Mai 2025 → 28 Mai 2025 https://www.neurois.org/neurois-retreat-2025

Publikationsreihe

Name	Lecture Notes in Information Systems and Organisation
Band	9
ISSN (Print)	2195-4968
ISSN (elektronisch)	2195-4976

Konferenz

Konferenz	NeuroIS Retreat 2025
Land/Gebiet	Österreich
Ort	Vienna
Zeitraum	26.05.2025 → 28.05.2025
Internetadresse	https://www.neurois.org/neurois-retreat-2025

Zugriff auf Dokument

10.1007/978-3-032-00815-2_3

Andere Dateien und Links

Link zur Publikation in Scopus

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Banh, L., Stangl, F. J., Strobel, G., & Riedl, R. (2026). The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities. in F. D. Davis, R. Riedl, J. vom Brocke, P.-M. Léger, A. B. Randolph, & G. R. Müller-Putz (Hrsg.), Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria (S. 27-43). (Lecture Notes in Information Systems and Organisation; Band 9). Springer. https://doi.org/10.1007/978-3-032-00815-2_3

Banh, Leonardo ; Stangl, Fabian Josef ; Strobel, Gero et al. / The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities. Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria. Hrsg. / Fred D. Davis ; René Riedl ; Jan vom Brocke ; Pierre-Majorique Léger ; Adriane B. Randolph ; Gernot R. Müller-Putz. Cham : Springer, 2026. S. 27-43 (Lecture Notes in Information Systems and Organisation).

@inproceedings{f9f5256dd9024602ab2e44d4a5e5afcb,

title = "The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities",

abstract = "Research in Neuro-Information Systems (NeuroIS) integrates neuroscience methods with Information Systems (IS) research to advance our understanding of human-technology interactions. As neurophysiological data collection methods evolve, the analysis of large and complex data sets remains a significant challenge. Generative Artificial Intelligence (GenAI) offers new opportunities for NeuroIS by improving data analysis, experimental design, and interpretation of neural patterns. This paper systematically reviews 56 studies applying GenAI in NeuroIS and identifies five main research themes: (1) GenAI for Autonomic Nervous System Measurements, (2) GenAI for Brain Research, (3) GenAI for General Applications, (4) GenAI for Genetics, and (5) GenAI for Multimodal Approaches. Our findings highlight how GenAI improves data interpretation, integration, and processing while streamlining the use of research methods. Overall, this review underscores the transformative potential of GenAI in NeuroIS, paving the way for scalable, precise, and dynamic research methodologies in the field.",

keywords = "Generative AI (GenAI), Human-AI Interaction, Neuro-Information Systems (NeuroIS), Neurophysiological Measurements, Literature review",

author = "Leonardo Banh and Stangl, \{Fabian Josef\} and Gero Strobel and Ren{\'e} Riedl",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.; NeuroIS Retreat 2025 ; Conference date: 26-05-2025 Through 28-05-2025",

year = "2026",

month = jan,

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editor = "Davis, \{Fred D.\} and Ren{\'e} Riedl and \{vom Brocke\}, Jan and Pierre-Majorique L{\'e}ger and Randolph, \{Adriane B.\} and M{\"u}ller-Putz, \{Gernot R.\}",

booktitle = "Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria",

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Banh, L, Stangl, FJ, Strobel, G & Riedl, R 2026, The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities. in FD Davis, R Riedl, J vom Brocke, P-M Léger, AB Randolph & GR Müller-Putz (Hrsg.), Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria. Lecture Notes in Information Systems and Organisation, Bd. 9, Springer, Cham, S. 27-43, NeuroIS Retreat 2025, Vienna, Österreich, 26.05.2025. https://doi.org/10.1007/978-3-032-00815-2_3

The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities. / Banh, Leonardo; Stangl, Fabian Josef; Strobel, Gero et al.
Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria. Hrsg. / Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane B. Randolph; Gernot R. Müller-Putz. Cham: Springer, 2026. S. 27-43 (Lecture Notes in Information Systems and Organisation; Band 9).

Publikation: Beitrag in Buch/Bericht/Tagungsband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities

AU - Banh, Leonardo

AU - Stangl, Fabian Josef

AU - Strobel, Gero

AU - Riedl, René

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

PY - 2026/1/2

Y1 - 2026/1/2

N2 - Research in Neuro-Information Systems (NeuroIS) integrates neuroscience methods with Information Systems (IS) research to advance our understanding of human-technology interactions. As neurophysiological data collection methods evolve, the analysis of large and complex data sets remains a significant challenge. Generative Artificial Intelligence (GenAI) offers new opportunities for NeuroIS by improving data analysis, experimental design, and interpretation of neural patterns. This paper systematically reviews 56 studies applying GenAI in NeuroIS and identifies five main research themes: (1) GenAI for Autonomic Nervous System Measurements, (2) GenAI for Brain Research, (3) GenAI for General Applications, (4) GenAI for Genetics, and (5) GenAI for Multimodal Approaches. Our findings highlight how GenAI improves data interpretation, integration, and processing while streamlining the use of research methods. Overall, this review underscores the transformative potential of GenAI in NeuroIS, paving the way for scalable, precise, and dynamic research methodologies in the field.

AB - Research in Neuro-Information Systems (NeuroIS) integrates neuroscience methods with Information Systems (IS) research to advance our understanding of human-technology interactions. As neurophysiological data collection methods evolve, the analysis of large and complex data sets remains a significant challenge. Generative Artificial Intelligence (GenAI) offers new opportunities for NeuroIS by improving data analysis, experimental design, and interpretation of neural patterns. This paper systematically reviews 56 studies applying GenAI in NeuroIS and identifies five main research themes: (1) GenAI for Autonomic Nervous System Measurements, (2) GenAI for Brain Research, (3) GenAI for General Applications, (4) GenAI for Genetics, and (5) GenAI for Multimodal Approaches. Our findings highlight how GenAI improves data interpretation, integration, and processing while streamlining the use of research methods. Overall, this review underscores the transformative potential of GenAI in NeuroIS, paving the way for scalable, precise, and dynamic research methodologies in the field.

KW - Generative AI (GenAI)

KW - Human-AI Interaction

KW - Neuro-Information Systems (NeuroIS)

KW - Neurophysiological Measurements

KW - Literature review

UR - https://www.scopus.com/pages/publications/105027220233

U2 - 10.1007/978-3-032-00815-2_3

DO - 10.1007/978-3-032-00815-2_3

M3 - Conference contribution

SN - 978-3-032-00814-5

T3 - Lecture Notes in Information Systems and Organisation

SP - 27

EP - 43

BT - Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria

A2 - Davis, Fred D.

A2 - Riedl, René

A2 - vom Brocke, Jan

A2 - Léger, Pierre-Majorique

A2 - Randolph, Adriane B.

A2 - Müller-Putz, Gernot R.

PB - Springer

CY - Cham

T2 - NeuroIS Retreat 2025

Y2 - 26 May 2025 through 28 May 2025

ER -

Banh L, Stangl FJ, Strobel G, Riedl R. The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities. in Davis FD, Riedl R, vom Brocke J, Léger PM, Randolph AB, Müller-Putz GR, Hrsg., Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria. Cham: Springer. 2026. S. 27-43. (Lecture Notes in Information Systems and Organisation). doi: 10.1007/978-3-032-00815-2_3

The Role of Generative Artificial Intelligence in the NeuroIS Research Process: Applications and Opportunities

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