About this Research Topic
The nature of human perception is complex and inherently integrates multiple sensory inputs, shaping our interaction with the world. Recent advancements have seen increasing attention toward technologies that enrich this multisensory integration by extending beyond traditional senses like sight and hearing to include smell, taste, and touch. These innovations are critical in spanning the continuum from real to virtual experiences, driven by the demand for more authentic and engaging simulations.
This Research Topic aims to elucidate the role of Artificial Intelligence in advancing multisensory research, a convergence where AI serves as a pivotal tool for integrating and analyzing expansive, multifaceted sensory data. By leveraging AI and machine learning, researchers can decipher intricate patterns and predictive models within multisensory data, enhancing our understanding of neural processes and the mechanics of perception across various senses.
In broadening the scope of investigation, we place specific emphasis on collaborations that bridge multiple disciplines—ranging from computational science through to artistic and clinical applications. To further our understanding and development of multisensory technologies, contributions are invited in the following areas:
- Sensory Data Acquisition and Manipulation: Innovative methods for capturing and simulating multisensory data, including the development of sophisticated sensors and algorithms.
- Sensory Substitution: Devices and technologies designed to translate sensory information from one modality to another, particularly useful in compensating for sensory deficits.
- Multisensory Fusion and Integration: Advanced techniques for merging sensory inputs to create coherent and immersive user experiences.
- Practical Applications: Utilization of multisensory technologies in fields like healthcare, education, and entertainment, focusing on new tools and approaches that leverage these integrations.
Through this exploration, the research community is invited to contribute findings and developments that not only push the boundaries of technology but also deepen our understanding of multisensory human experiences in various contexts.
This Research Topic aims to elucidate the role of Artificial Intelligence in advancing multisensory research, a convergence where AI serves as a pivotal tool for integrating and analyzing expansive, multifaceted sensory data. By leveraging AI and machine learning, researchers can decipher intricate patterns and predictive models within multisensory data, enhancing our understanding of neural processes and the mechanics of perception across various senses.
In broadening the scope of investigation, we place specific emphasis on collaborations that bridge multiple disciplines—ranging from computational science through to artistic and clinical applications. To further our understanding and development of multisensory technologies, contributions are invited in the following areas:
- Sensory Data Acquisition and Manipulation: Innovative methods for capturing and simulating multisensory data, including the development of sophisticated sensors and algorithms.
- Sensory Substitution: Devices and technologies designed to translate sensory information from one modality to another, particularly useful in compensating for sensory deficits.
- Multisensory Fusion and Integration: Advanced techniques for merging sensory inputs to create coherent and immersive user experiences.
- Practical Applications: Utilization of multisensory technologies in fields like healthcare, education, and entertainment, focusing on new tools and approaches that leverage these integrations.
Through this exploration, the research community is invited to contribute findings and developments that not only push the boundaries of technology but also deepen our understanding of multisensory human experiences in various contexts.
Keywords: Multisensory, Experiences, Environment, Applications, AI
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
