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

^*Corresponding author for this work

Research Center Steyr

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

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.

Original language	English
Title of host publication	Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria
Editors	Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Gernot R. Müller-Putz
Place of Publication	Cham
Publisher	Springer
Pages	27-43
DOIs	https://doi.org/10.1007/978-3-032-00815-2_3
Publication status	Published - 2 Jan 2026
Event	NeuroIS Retreat 2025 - Austria Trend Hotel Schloss Wilhelminenberg, Vienna, Austria Duration: 26 May 2025 → 28 May 2025 https://www.neurois.org/neurois-retreat-2025

Publication series

Name	Lecture Notes in Information Systems and Organisation
Publisher	Springer
Volume	9
ISSN (Print)	2195-4968
ISSN (Electronic)	2195-4976

Conference

Conference	NeuroIS Retreat 2025
Country/Territory	Austria
City	Vienna
Period	26.05.2025 → 28.05.2025
Internet address	https://www.neurois.org/neurois-retreat-2025

Keywords

Generative AI (GenAI)
Human-AI Interaction
Literature Review
Neuro-Information Systems (NeuroIS)
Neurophysiological Measurements

Access to Document

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

Cite this

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 (Eds.), Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria (pp. 27-43). (Lecture Notes in Information Systems and Organisation; Vol. 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. editor / Fred D. Davis ; René Riedl ; Jan vom Brocke ; Pierre-Majorique Léger ; Adriane B. Randolph ; Gernot R. Müller-Putz. Cham : Springer, 2026. pp. 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, Literature Review, Neuro-Information Systems (NeuroIS), Neurophysiological Measurements",

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

year = "2026",

month = jan,

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doi = "10.1007/978-3-032-00815-2\_3",

language = "English",

series = "Lecture Notes in Information Systems and Organisation",

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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",

address = "Germany",

note = "NeuroIS Retreat 2025 ; Conference date: 26-05-2025 Through 28-05-2025",

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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 (eds), Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria. Lecture Notes in Information Systems and Organisation, vol. 9, Springer, Cham, pp. 27-43, NeuroIS Retreat 2025, Vienna, Austria, 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. ed. / Fred D. Davis; René Riedl; Jan vom Brocke; Pierre-Majorique Léger; Adriane B. Randolph; Gernot R. Müller-Putz. Cham: Springer, 2026. p. 27-43 (Lecture Notes in Information Systems and Organisation; Vol. 9).

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

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

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 - Literature Review

KW - Neuro-Information Systems (NeuroIS)

KW - Neurophysiological Measurements

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

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

M3 - Conference contribution

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, editors, Information Systems and Neuroscience: NeuroIS Retreat 2025, Vienna, Austria. Cham: Springer. 2026. p. 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

Abstract

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Conference

Keywords

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