Paper
14 April 2023 Research status and trend analysis of sensory interaction of virtual technology products
Qin Wang, Jingjing Wang, Luping Pan
Author Affiliations +
Proceedings Volume 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022); 1261208 (2023) https://doi.org/10.1117/12.2673150
Event: International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 2022, Zhuhai, China
Abstract
Sensory interaction in virtual technology can provide better immersive experience for users. In the field of design, the current virtual products are summarized from the perspectives of vision, hearing, touch, smell and multi-senses, and the hot topics and trends of the research are revealed by bibliometrics. The sensory interaction of the current virtual products is mainly from the interaction of vision with auditory, while the interaction of touch with olfactory is less. Literature research reveals that the research and application of VR is far more than that of other virtual technologies. Among the various senses, vision has been studied the most, followed by touch, hearing and multi-senses, while olfaction has been studied less. Main conclusion: More attention has been paid to the application of visual interaction in virtual products and literature research. Multi-sensory interaction is increasingly valued. The hot topics are virtual reality, human-computer interaction, environment and augmented reality, and keyword analysis indicate virtual environment, human-computer interaction, haptic interface, education are the future research trends.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qin Wang, Jingjing Wang, and Luping Pan "Research status and trend analysis of sensory interaction of virtual technology products", Proc. SPIE 12612, International Conference on Artificial Intelligence and Industrial Design (AIID 2022), 1261208 (14 April 2023); https://doi.org/10.1117/12.2673150
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KEYWORDS
Virtual reality

Human computer interaction

Visual analytics

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