AHCI RESEARCH GROUP

Publications

Papers published in international journals,
proceedings of conferences, workshops and books.

OUR RESEARCH

Scientific Publications

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2025

Michael, R.; Kutza, J. -O.; Werth, P.; Liebe, J. -D.; Schöning, J.

Simulating Vulnerability: An Examination of Ethical, Legal and Social Aspects in the Context of Training Child Protection Workers Proceedings Article

In: Cheong, M.; Herkert, J.; Zhu, Q.; Love, H. A. (Ed.): Institute of Electrical and Electronics Engineers Inc., 2025, ISBN: 9798331532284 (ISBN).

Abstract | Links | BibTeX | Tags: and social aspect), Artificial intelligence, artificial intelligence (AI), Case files, Child Protection, Child protections, Ethical, Ethical aspects, Information Management, Language Model, Large language model, large language model (LLM), Laws and legislation, Legal, Personnel training, Social aspect (ethical, Social aspects, Social Aspects (ELSA), Virtual Reality, Virtual Reality (VR) Training, Virtual reality training, Workers'

@inproceedings{michael_simulating_2025,

title = {Simulating Vulnerability: An Examination of Ethical, Legal and Social Aspects in the Context of Training Child Protection Workers},

author = {R. Michael and J. -O. Kutza and P. Werth and J. -D. Liebe and J. Schöning},

editor = {M. Cheong and J. Herkert and Q. Zhu and H. A. Love},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105014522871&doi=10.1109%2FETHICS65148.2025.11098302&partnerID=40&md5=c5cba2cca188ceb263701952c2f386ea},

doi = {10.1109/ETHICS65148.2025.11098302},

isbn = {9798331532284 (ISBN)},

year  = {2025},

date = {2025-01-01},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The success of artificial intelligence (AI), particularly large language models (LLMs), has led to innovative applications and numerous attempts to find a use for this tool in different fields. One of these fields is in the work fielded by child protection offices. The AId4Children project investigates the use of AI-generated virtual reality (VR) training environments for child protection workers. This VR training application simulates home visits and is generated on synthetically constructed cases of child abuse and neglect that are based on real case files. Using real case files for AI-based generation of VR training raises several ethical, legal, and social aspects (ELSA) and questions. One question Q1) is how to acquire and create an open data set on child endangerment case files. A second question Q2) is how to represent the vulnerable characters in VR respectfully. A third question Q3) is if the use of AI, incl. LLM within the context of child abuse and neglect is acceptable at all. This paper will discuss and provide the first answers to the considerations on ELSA raised by the explorative concept development of this VR training application. © 2025 Elsevier B.V., All rights reserved.},

keywords = {and social aspect), Artificial intelligence, artificial intelligence (AI), Case files, Child Protection, Child protections, Ethical, Ethical aspects, Information Management, Language Model, Large language model, large language model (LLM), Laws and legislation, Legal, Personnel training, Social aspect (ethical, Social aspects, Social Aspects (ELSA), Virtual Reality, Virtual Reality (VR) Training, Virtual reality training, Workers'},

pubstate = {published},

tppubtype = {inproceedings}

}

2024

Scott, A. J. S.; McCuaig, F.; Lim, V.; Watkins, W.; Wang, J.; Strachan, G.

Revolutionizing Nurse Practitioner Training: Integrating Virtual Reality and Large Language Models for Enhanced Clinical Education Proceedings Article

In: G., Strudwick; N.R., Hardiker; G., Rees; R., Cook; R., Cook; Y.J., Lee (Ed.): Stud. Health Technol. Informatics, pp. 671–672, IOS Press BV, 2024, ISBN: 09269630 (ISSN); 978-164368527-4 (ISBN).

Abstract | Links | BibTeX | Tags: 3D modeling, 3D models, 3d-modeling, adult, anamnesis, clinical decision making, clinical education, Clinical Simulation, Computational Linguistics, computer interface, Computer-Assisted Instruction, conference paper, Curriculum, Decision making, E-Learning, Education, Health care education, Healthcare Education, human, Humans, Language Model, Large language model, large language models, Mesh generation, Model animations, Modeling languages, nurse practitioner, Nurse Practitioners, Nursing, nursing education, nursing student, OSCE preparation, procedures, simulation, Teaching, therapy, Training, Training program, User-Computer Interface, Virtual Reality, Virtual reality training

@inproceedings{scott_revolutionizing_2024,

title = {Revolutionizing Nurse Practitioner Training: Integrating Virtual Reality and Large Language Models for Enhanced Clinical Education},

author = {A. J. S. Scott and F. McCuaig and V. Lim and W. Watkins and J. Wang and G. Strachan},

editor = {Strudwick G. and Hardiker N.R. and Rees G. and Cook R. and Cook R. and Lee Y.J.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85199593781&doi=10.3233%2fSHTI240272&partnerID=40&md5=90c7bd43ba978f942723e6cf1983ffb3},

doi = {10.3233/SHTI240272},

isbn = {09269630 (ISSN); 978-164368527-4 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Stud. Health Technol. Informatics},

volume = {315},

pages = {671–672},

publisher = {IOS Press BV},

abstract = {This project introduces an innovative virtual reality (VR) training program for student Nurse Practitioners, incorporating advanced 3D modeling, animation, and Large Language Models (LLMs). Designed to simulate realistic patient interactions, the program aims to improve communication, history taking, and clinical decision-making skills in a controlled, authentic setting. This abstract outlines the methods, results, and potential impact of this cutting-edge educational tool on nursing education. © 2024 The Authors.},

keywords = {3D modeling, 3D models, 3d-modeling, adult, anamnesis, clinical decision making, clinical education, Clinical Simulation, Computational Linguistics, computer interface, Computer-Assisted Instruction, conference paper, Curriculum, Decision making, E-Learning, Education, Health care education, Healthcare Education, human, Humans, Language Model, Large language model, large language models, Mesh generation, Model animations, Modeling languages, nurse practitioner, Nurse Practitioners, Nursing, nursing education, nursing student, OSCE preparation, procedures, simulation, Teaching, therapy, Training, Training program, User-Computer Interface, Virtual Reality, Virtual reality training},

pubstate = {published},

tppubtype = {inproceedings}

}