AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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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.
2024
Liebers, C.; Pfützenreuter, N.; Auda, J.; Gruenefeld, U.; Schneegass, S.
"computer, Generate!" - Investigating User-Controlled Generation of Immersive Virtual Environments Proceedings Article
In: F., Lorig; J., Tucker; A.D., Lindstrom; F., Dignum; P., Murukannaiah; A., Theodorou; P., Yolum (Ed.): Front. Artif. Intell. Appl., pp. 213–227, IOS Press BV, 2024, ISBN: 09226389 (ISSN); 978-164368522-9 (ISBN).
Abstract | Links | BibTeX | Tags: All-at-once, Controllers, Generative AI, Human-controled scene generation, Human-Controlled Scene Generation, Immersive, Immersive Virtual Environments, In-control, Process control, Scene Generation, Three-level, User study, User-centred, Virtual Reality
@inproceedings{liebers_computer_2024,
title = {"computer, Generate!" - Investigating User-Controlled Generation of Immersive Virtual Environments},
author = {C. Liebers and N. Pfützenreuter and J. Auda and U. Gruenefeld and S. Schneegass},
editor = {Lorig F. and Tucker J. and Lindstrom A.D. and Dignum F. and Murukannaiah P. and Theodorou A. and Yolum P.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198740032&doi=10.3233%2fFAIA240196&partnerID=40&md5=215c47e3c831cbb44e5dc10604cda8af},
doi = {10.3233/FAIA240196},
isbn = {09226389 (ISSN); 978-164368522-9 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Front. Artif. Intell. Appl.},
volume = {386},
pages = {213–227},
publisher = {IOS Press BV},
abstract = {For immersive experiences such as virtual reality, explorable worlds are often fundamental. Generative artificial intelligence looks promising to accelerate the creation of such environments. However, it remains unclear how existing interaction modalities can support user-centered world generation and how users remain in control of the process. Thus, in this paper, we present a virtual reality application to generate virtual environments and compare three common interaction modalities (voice, controller, and hands) in a pre-study (N = 18), revealing a combination of initial voice input and continued controller manipulation as best suitable. We then investigate three levels of process control (all-at-once, creation-before-manipulation, and step-by-step) in a user study (N = 27). Our results show that although all-at-once reduced the number of object manipulations, participants felt more in control when using the step-by-step approach. © 2024 The Authors.},
keywords = {All-at-once, Controllers, Generative AI, Human-controled scene generation, Human-Controlled Scene Generation, Immersive, Immersive Virtual Environments, In-control, Process control, Scene Generation, Three-level, User study, User-centred, Virtual Reality},
pubstate = {published},
tppubtype = {inproceedings}
}
For immersive experiences such as virtual reality, explorable worlds are often fundamental. Generative artificial intelligence looks promising to accelerate the creation of such environments. However, it remains unclear how existing interaction modalities can support user-centered world generation and how users remain in control of the process. Thus, in this paper, we present a virtual reality application to generate virtual environments and compare three common interaction modalities (voice, controller, and hands) in a pre-study (N = 18), revealing a combination of initial voice input and continued controller manipulation as best suitable. We then investigate three levels of process control (all-at-once, creation-before-manipulation, and step-by-step) in a user study (N = 27). Our results show that although all-at-once reduced the number of object manipulations, participants felt more in control when using the step-by-step approach. © 2024 The Authors.