AHCI RESEARCH GROUP
Publications
Papers published in international journals,
proceedings of conferences, workshops and books.
OUR RESEARCH
Scientific Publications
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2024
Liu, P.; Kitson, A.; Picard-Deland, C.; Carr, M.; Liu, S.; Lc, R.; Zhu-Tian, C.
Virtual Dream Reliving: Exploring Generative AI in Immersive Environment for Dream Re-experiencing Proceedings Article
In: Conf Hum Fact Comput Syst Proc, Association for Computing Machinery, 2024, ISBN: 979-840070331-7 (ISBN).
Abstract | Links | BibTeX | Tags: Dream Re-experiencing, Dreamwork Engineering, Fundamental component, Generative AI, Immersive environment, Interactivity, Key elements, Personal Insight, Scientific Creativity, Virtual Reality, Virtual-reality environment
@inproceedings{liu_virtual_2024,
title = {Virtual Dream Reliving: Exploring Generative AI in Immersive Environment for Dream Re-experiencing},
author = {P. Liu and A. Kitson and C. Picard-Deland and M. Carr and S. Liu and R. Lc and C. Zhu-Tian},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194182384&doi=10.1145%2f3613905.3644054&partnerID=40&md5=c6de3def82e91544f194a0fd465a636e},
doi = {10.1145/3613905.3644054},
isbn = {979-840070331-7 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Conf Hum Fact Comput Syst Proc},
publisher = {Association for Computing Machinery},
abstract = {Dreaming is a fundamental component of the human experience. Modern-day psychologists and neuroscientists use "dreamwork" to describe a variety of strategies that deepen and engage with dreams. Re-experiencing the dream as if reliving the memory, feelings, and bodily sensations from the dream is a key element shared by many dreamwork practices. In this paper, we propose the concept of "dreamwork engineering" by creating a system enabling dream re-experiencing in a virtual reality environment through generative AI. Through an autoethnographic study, the first author documented his own dreams and relived his dream experiences for two weeks. Based on our results, we propose a technologyaided dreamwork framework, where technology could potentially augment traditional dreamwork methods through spatiality and movement, interactivity and abstract anchor. We further highlight the collaborative role of technology in dreamwork and advocate that the scientific community could also benefit from dreaming and dreamwork for scientific creativity. © 2024 Association for Computing Machinery. All rights reserved.},
keywords = {Dream Re-experiencing, Dreamwork Engineering, Fundamental component, Generative AI, Immersive environment, Interactivity, Key elements, Personal Insight, Scientific Creativity, Virtual Reality, Virtual-reality environment},
pubstate = {published},
tppubtype = {inproceedings}
}
Greca, A. D.; Amaro, I.; Barra, P.; Rosapepe, E.; Tortora, G.
Enhancing therapeutic engagement in Mental Health through Virtual Reality and Generative AI: A co-creation approach to trust building Proceedings Article
In: M., Cannataro; H., Zheng; L., Gao; J., Cheng; J.L., Miranda; E., Zumpano; X., Hu; Y.-R., Cho; T., Park (Ed.): Proc. - IEEE Int. Conf. Bioinform. Biomed., BIBM, pp. 6805–6811, Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835038622-6 (ISBN).
Abstract | Links | BibTeX | Tags: Co-creation, Electronic health record, Fundamental component, Generative adversarial networks, Generative AI, generative artificial intelligence, Immersive, Mental health, Personalized therapies, Personalized Therapy, Three-dimensional object, Trust, Trust building, Virtual environments, Virtual Reality, Virtual Reality (VR)
@inproceedings{greca_enhancing_2024,
title = {Enhancing therapeutic engagement in Mental Health through Virtual Reality and Generative AI: A co-creation approach to trust building},
author = {A. D. Greca and I. Amaro and P. Barra and E. Rosapepe and G. Tortora},
editor = {Cannataro M. and Zheng H. and Gao L. and Cheng J. and Miranda J.L. and Zumpano E. and Hu X. and Cho Y.-R. and Park T.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85217278235&doi=10.1109%2fBIBM62325.2024.10822177&partnerID=40&md5=ed42f7ca6a0e52e9945402e2c439a7f0},
doi = {10.1109/BIBM62325.2024.10822177},
isbn = {979-835038622-6 (ISBN)},
year = {2024},
date = {2024-01-01},
booktitle = {Proc. - IEEE Int. Conf. Bioinform. Biomed., BIBM},
pages = {6805–6811},
publisher = {Institute of Electrical and Electronics Engineers Inc.},
abstract = {Trust is a fundamental component of effective therapeutic relationships, significantly influencing patient engagement and treatment outcomes in mental health care. This paper presents a preliminary study aimed at enhancing trust through the co-creation of virtual therapeutic environments using generative artificial intelligence (AI). We propose a multimodal AI model, integrated into a virtual reality (VR) platform developed in Unity, which generates three-dimensional (3D) objects from textual descriptions. This approach allows patients to actively participate in shaping their therapeutic environment, fostering a collaborative atmosphere that enhances trust between patients and therapists. The methodology is structured into four phases, combining non-immersive and immersive experiences to co-create personalized therapeutic spaces and 3D objects symbolizing emotional or psychological states. Preliminary results demonstrate the system's potential in improving the therapeutic process through the real-time creation of virtual objects that reflect patient needs, with high-quality mesh generation and semantic coherence. This work offers new possibilities for patient-centered care in mental health services, suggesting that virtual co-creation can improve therapeutic efficacy by promoting trust and emotional engagement. © 2024 IEEE.},
keywords = {Co-creation, Electronic health record, Fundamental component, Generative adversarial networks, Generative AI, generative artificial intelligence, Immersive, Mental health, Personalized therapies, Personalized Therapy, Three-dimensional object, Trust, Trust building, Virtual environments, Virtual Reality, Virtual Reality (VR)},
pubstate = {published},
tppubtype = {inproceedings}
}