AHCI RESEARCH GROUP

Publications

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

OUR RESEARCH

Scientific Publications

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2025

Yokoyama, N.; Kimura, R.; Nakajima, T.

ViGen: Defamiliarizing Everyday Perception for Discovering Unexpected Insights Proceedings Article

In: H., Degen; S., Ntoa (Ed.): Lect. Notes Comput. Sci., pp. 397–417, Springer Science and Business Media Deutschland GmbH, 2025, ISBN: 03029743 (ISSN); 978-303193417-9 (ISBN).

Abstract | Links | BibTeX | Tags: Artful Expression, Artistic technique, Augmented Reality, Daily lives, Defamiliarization, Dynamic environments, Engineering education, Enhanced vision systems, Generative AI, generative artificial intelligence, Human augmentation, Human engineering, Human-AI Interaction, Human-artificial intelligence interaction, Semi-transparent

@inproceedings{yokoyama_vigen_2025,

title = {ViGen: Defamiliarizing Everyday Perception for Discovering Unexpected Insights},

author = {N. Yokoyama and R. Kimura and T. Nakajima},

editor = {Degen H. and Ntoa S.},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-105007760030&doi=10.1007%2f978-3-031-93418-6_26&partnerID=40&md5=dee6f54688284313a45579aab5f934d6},

doi = {10.1007/978-3-031-93418-6_26},

isbn = {03029743 (ISSN); 978-303193417-9 (ISBN)},

year  = {2025},

date = {2025-01-01},

booktitle = {Lect. Notes Comput. Sci.},

volume = {15821 LNAI},

pages = {397–417},

publisher = {Springer Science and Business Media Deutschland GmbH},

abstract = {This paper proposes ViGen, an Augmented Reality (AR) and Artificial Intelligence (AI)-enhanced vision system designed to facilitate defamiliarization in daily life. Humans rely on sight to gather information, think, and act, yet the act of seeing often becomes passive in daily life. Inspired by Victor Shklovsky’s concept of defamiliarization and the artistic technique of photomontage, ViGen seeks to disrupt habitual perceptions. It achieves this by overlaying semi-transparent, AI-generated images, created based on the user’s view, through an AR display. The system is evaluated by several structured interviews, in which participants experience ViGen in three different scenarios. Results indicate that AI-generated visuals effectively supported defamiliarization by transforming ordinary scenes into unfamiliar ones. However, the user’s familiarity with a place plays a significant role. Also, while the feature that adjusts the transparency of overlaid images enhances safety, its limitations in dynamic environments suggest the need for further research across diverse cultural and geographic contexts. This study demonstrates the potential of AI-augmented vision systems to stimulate new ways of seeing, offering insights for further development in visual augmentation technologies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.},

keywords = {Artful Expression, Artistic technique, Augmented Reality, Daily lives, Defamiliarization, Dynamic environments, Engineering education, Enhanced vision systems, Generative AI, generative artificial intelligence, Human augmentation, Human engineering, Human-AI Interaction, Human-artificial intelligence interaction, Semi-transparent},

pubstate = {published},

tppubtype = {inproceedings}

}

2024

Geetha, S.; Aditya, G.; Reddy, M. Chetan; Nischith, G.

Human Interaction in Virtual and Mixed Reality Through Hand Tracking Proceedings Article

In: Proc. CONECCT - IEEE Int. Conf. Electron., Comput. Commun. Technol., Institute of Electrical and Electronics Engineers Inc., 2024, ISBN: 979-835038592-2 (ISBN).

Abstract | Links | BibTeX | Tags: Computer interaction, Computer simulation languages, Daily lives, Digital elevation model, Hand gesture, hand tracking, Hand-tracking, human-computer interaction, Humaninteraction, Interaction dynamics, Mixed reality, Unity, User friendly interface, User interfaces, Virtual environments, Virtual Reality, Virtual spaces

@inproceedings{geetha_human_2024,

title = {Human Interaction in Virtual and Mixed Reality Through Hand Tracking},

author = {S. Geetha and G. Aditya and M. Chetan Reddy and G. Nischith},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205768661&doi=10.1109%2fCONECCT62155.2024.10677239&partnerID=40&md5=173e590ca9a1e30b760d05af562f311a},

doi = {10.1109/CONECCT62155.2024.10677239},

isbn = {979-835038592-2 (ISBN)},

year  = {2024},

date = {2024-01-01},

booktitle = {Proc. CONECCT - IEEE Int. Conf. Electron., Comput. Commun. Technol.},

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

abstract = {This paper explores the potential and possibilities of hand tracking in virtual reality (VR) and mixed reality (MR), focusing on its role in human interaction dynamics. An application was designed in Unity leveraging the XR Interaction toolkit, within which various items across three important domains: daily life, education, and recreation, were crafted to demonstrate the versatility of hand tracking along with hand gesture-based shortcuts for interaction. Integration of elements in MR ensures that users can seamlessly enjoy virtual experiences while remaining connected to their physical surroundings. Precise hand tracking enables effortless interaction with the virtual space, enhancing presence and control with a user-friendly interface. Additionally, the paper explores the effectiveness of integrating hand tracking into education and training scenarios. A computer assembly simulation was created to demonstrate this, featuring component inspection and zoom capabilities along with a large language model (LLM) integrated with hand gestures to provide for interaction capabilities. © 2024 IEEE.},

keywords = {Computer interaction, Computer simulation languages, Daily lives, Digital elevation model, Hand gesture, hand tracking, Hand-tracking, human-computer interaction, Humaninteraction, Interaction dynamics, Mixed reality, Unity, User friendly interface, User interfaces, Virtual environments, Virtual Reality, Virtual spaces},

pubstate = {published},

tppubtype = {inproceedings}

}