Navigating numbers and narratives- is multimodal lab the answer ?
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IIT Mandi iHub and HCi Foundation
IIT Mandi iHub and HCi Foundation
The Innovation Hub (TIH) on Human-Computer Interaction ⢠IIT Mandi ⢠DST - Government of India
Published May 24, 2025
+ Follow ## The Promise of Multimodal AI: unlocking deeper understandingÂ
Imagine a future where technology truly understands us â our emotions, our intentions, and the nuances of our environment. This isn't science fiction; it's the core promise of multimodal AI.
Multimodal data combines various forms of information, like the text, images, and emojis in a social media post. Analyzing these diverse data types together allows us to uncover complex patterns and narratives that single-mode analysis often misses. It's about getting the full picture, not just a snapshot.
Building the Multimodal Lab: Where Do We Begin?
Establishing a cutting-edge Multimodal Lab is an ambitious undertaking. While resources like research papers, expert consultations, and visits to centers of excellence are invaluable, they often come with inherent biases. An expert in Brain-Computer Interaction might prioritize physiological data, while an IoT specialist might focus on sensory modalities.
To avoid this "hairy ball of multimodality," our strategic planning must begin with a clear objective. At IIT Mandi iHUB and HCi Foundation, with our focus on Human-Computer Interaction, our aim is to establish a Multimodal Lab that can effortlessly learn patterns across diverse modalities, ultimately mimicking aspects of human perception.
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4 months ago ### The Power of Vision as a Central Modality
Our exploration, aided by industry practitioners and insights from events like CHI2025, has led us to a compelling idea: vision as a central modality.
While various modalities are crucial depending on the specific application, vision offers a unique advantage. It provides rich, objective, and widely researched information, making it an excellent foundation for a multimodal lab. Think about it: our devices could go beyond just responding to commands, truly "seeing" and understanding their context.
Of course, no single modality is universally "most important." The ideal combination depends on the specific task. However, for a foundational Multimodal Lab, leveraging the power of vision allows us to build a robust system that can be seamlessly integrated with other modalities.
So, as we establish our Multimodal Lab, the question becomes: how can vision become the pivotal force in unlocking the next generation of intelligent, context-aware systems and aid in integrating the other modalities.