AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
How to
You can use the tag cloud to select only the papers dealing with specific research topics.
You can expand the Abstract, Links and BibTex record for each paper.
2025
Richter, S.; Richter, A.; Trier, M.
Narratives of the Future-Exploring Human-AI Collaboration Journal Article
In: Communications of the Association for Information Systems, vol. 57, 2025, ISSN: 15293181 (ISSN), (Publisher: Association for Information Systems).
Abstract | Links | BibTeX | Tags: Emerging technologies, Future, Horizon Scanning, Human engineering, Human-ai collaboration, Hybrid Work, Information Systems, Information use, Metaverse, Metaverses, Narrative, Narratives, New forms, Organisational, Technological innovation, Virtual Reality
@article{richter_narratives_2025,
title = {Narratives of the Future-Exploring Human-AI Collaboration},
author = {S. Richter and A. Richter and M. Trier},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105011937728&partnerID=40&md5=28f6b90199fcfc1044fc27d74a20bdc4},
issn = {15293181 (ISSN)},
year = {2025},
date = {2025-01-01},
journal = {Communications of the Association for Information Systems},
volume = {57},
abstract = {As organizational leaders and employees navigate the new landscape of hybrid work, two additional technological innovations are quickly becoming prevalent: Human-AI Collaboration and new forms of presence in virtual environments such as the Metaverse. While both developments are still in the early stages, the example of generative AI has shown how fast emerging technology can have important implications for organizational practices. But how do we study something that has not yet materialized? In this paper, we apply web-based horizon scanning and develop four narratives, based on tasks in McGrath's group task circumplex, to engage with the future of work. Beyond dis-cussing the possible implications of the narratives and providing exemplary research questions, we explore and discuss horizon scanning as a future-looking methodology for information systems re-search. © 2025 Elsevier B.V., All rights reserved.},
note = {Publisher: Association for Information Systems},
keywords = {Emerging technologies, Future, Horizon Scanning, Human engineering, Human-ai collaboration, Hybrid Work, Information Systems, Information use, Metaverse, Metaverses, Narrative, Narratives, New forms, Organisational, Technological innovation, Virtual Reality},
pubstate = {published},
tppubtype = {article}
}
Zhang, H.; Zha, S.; Cai, J.; Wohn, D. Y.; Carroll, J. M.
Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community Proceedings Article
In: Conf Hum Fact Comput Syst Proc, Association for Computing Machinery, 2025, ISBN: 9798400713958 (ISBN); 9798400713941 (ISBN).
Abstract | Links | BibTeX | Tags: AI assistant, AI Technologies, Coding framework, Ethical technology, Human-ai collaboration, Immersive, On-line communities, online community, Preliminary analysis, Property, Qualitative analysis, user experience, Users' experiences
@inproceedings{zhang_generative_2025,
title = {Generative AI in Virtual Reality Communities: A Preliminary Analysis of the VRChat Discord Community},
author = {H. Zhang and S. Zha and J. Cai and D. Y. Wohn and J. M. Carroll},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105005770564&doi=10.1145%2F3706599.3720120&partnerID=40&md5=3eda146676e43237a27192e89c4f74c3},
doi = {10.1145/3706599.3720120},
isbn = {9798400713958 (ISBN); 9798400713941 (ISBN)},
year = {2025},
date = {2025-01-01},
booktitle = {Conf Hum Fact Comput Syst Proc},
publisher = {Association for Computing Machinery},
abstract = {As immersive social platforms like VRChat increasingly adopt generative AI (GenAI) technologies, it becomes critical to understand how community members perceive, negotiate, and utilize these tools. In this preliminary study, we conducted a qualitative analysis of VRChat-related Discord discussions, employing a deductive coding framework to identify key themes related to AI-assisted content creation, intellectual property disputes, and evolving community norms. Our findings offer preliminary insights into the complex interplay between the community’s enthusiasm for AI-driven creativity and deep-rooted ethical and legal concerns. Users weigh issues of fair use, data ethics, intellectual property, and the role of community governance in establishing trust. By highlighting the tensions and trade-offs as users embrace new creative opportunities while seeking transparency, fair attribution, and equitable policies, this research offers valuable insights for designers, platform administrators, and policymakers aiming to foster responsible, inclusive, and ethically sound AI integration in future immersive virtual environments. © 2025 Elsevier B.V., All rights reserved.},
keywords = {AI assistant, AI Technologies, Coding framework, Ethical technology, Human-ai collaboration, Immersive, On-line communities, online community, Preliminary analysis, Property, Qualitative analysis, user experience, Users' experiences},
pubstate = {published},
tppubtype = {inproceedings}
}