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Seamless Interaction Dataset
A large-scale multimodal dataset of 4,000+ hours of human interactions for AI research
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๐ฆ GitHub
๐ Paper
Human communication involves a complex interplay of verbal and nonverbal signals, essential for conveying meaning and achieving interpersonal goals. The Seamless Interaction Dataset is a large-scale collection of over 4,000 hours of face-to-face interaction footage from more than 4,000 participants inโฆ See the full description on the dataset page: https://huggingface.co/datasets/facebook/seamless-interaction.
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The AI Digital Human market is experiencing rapid growth, driven by advancements in artificial intelligence, natural language processing, and computer vision. The market, estimated at $2 billion in 2025, is projected to expand significantly over the next decade, fueled by increasing demand across diverse sectors. Key application areas include recreation and leisure (virtual influencers, interactive characters), finance and education (personalized learning experiences, virtual assistants), medical (patient simulation, virtual therapists), travel and tourism (virtual guides, concierge services), and human resources (recruiting, training). The market is segmented by type into identity-based AI digital humans (character-specific, personalized avatars) and service-based AI digital humans (general-purpose virtual assistants). The growth is being propelled by the need for personalized and efficient customer experiences, cost reductions in customer service and training, and the expanding metaverse and gaming industries, which heavily utilize these digital avatars. A notable trend is the increasing sophistication of these digital humans, exhibiting more realistic appearances, natural interactions, and personalized experiences, leading to increased adoption across multiple industries. However, challenges such as high development costs, ethical concerns surrounding data privacy and bias in algorithms, and the need for robust infrastructure to support seamless interaction represent potential restraints to market growth. The competitive landscape is characterized by a mix of established technology giants (Microsoft, Samsung, Meta) and specialized AI companies (UneeQ, Soul Machines, Synthesia). The market is geographically diverse, with North America and Asia Pacific currently holding significant shares, driven by robust technological infrastructure and early adoption. Europe and other regions are expected to witness increased growth as awareness and adoption of AI digital humans increase. While precise figures for regional market share and specific company revenue are unavailable in this data set, it can be inferred that a large portion of the market value and growth is concentrated in regions with advanced technological infrastructure and significant investments in AI research and development. Continued innovation in AI technology, coupled with increasing affordability and accessibility of these solutions, will likely accelerate market expansion in the forecast period (2025-2033).
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The HCI market encompasses a diverse range of products designed to facilitate seamless and intuitive human-computer interaction. Key product categories include: Peripherals: This segment includes essential input devices such as keyboards, mice, touchscreens, styluses, and haptic feedback devices, all contributing to enhanced user control and interaction. Touch Screen GUIs: Touchscreen graphical user interfaces (GUIs) have become ubiquitous, providing an intuitive and user-friendly interaction method across a wide range of devices, from smartphones to large-scale interactive displays. Gesture and Body Recognition: These technologies enable interaction through natural gestures and body movements, opening up possibilities for immersive gaming experiences, intuitive control in various applications, and enhanced accessibility for users with disabilities. Speech & Voice Recognition: Voice-activated interfaces are transforming how users interact with technology, empowering hands-free operation in applications ranging from virtual assistants and smart home devices to automotive systems and healthcare solutions. Natural Language Processing (NLP): NLP is revolutionizing human-computer communication, enabling computers to understand and respond to human language in a more natural and contextual manner. This is crucial for chatbots, virtual assistants, and other applications requiring seamless human-machine communication. Brain Computer Interface (BCI): While still in its nascent stages, BCI technology holds immense potential to redefine human-computer interaction by enabling direct communication between the brain and computing devices, opening doors to innovative assistive technologies and new paradigms of interaction. Eye Tracking: Eye-tracking technology allows for highly precise and intuitive interaction, with applications ranging from accessibility solutions for individuals with motor impairments to advanced research in human behavior and marketing analytics. Virtual and Augmented Reality (VR/AR): VR and AR technologies are rapidly expanding the possibilities of HCI by creating immersive and interactive experiences, transforming industries such as gaming, entertainment, training, and design. Recent developments include: June 2022:NTT DATA Italia has formed a strategic cooperation with Cogniac Corporation. With the help of the agreement, NTT DATA will be able to significantly improve its smart factory capabilities in Italy and assist its manufacturing operations with Cogniac's patented visual data processing platform., April 2022:Cognia teamed with Melco Resorts & Entertainment Limited ("Melco"), a developer, owner, and operator of integrated resort facilities in Asia and Europe. The collaboration puts Cogniac's unique visual data processing platform in place to support Melco's loyalty programme operations. The integrated resort's exclusive rewards programme, Melco Club, is made operationally easier by the AI-based computer vision platform from Cogniac., April 2021:According to The Verge, Meta is adding additional enhancements to the hand tracking technology on its Quest virtual reality platform, including support for novel motion motions like clapping. A new version of the company's Presence Platform API is now available to all users after a brief developer preview. It promises more nuanced and dependable interactions on the Meta Quest headset.. Notable trends are: Increasing Popularity Of The Laptops And Tablets Owing To Their Smaller Sizes And Less Weight.
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Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
Seamless Interaction Dataset
A large-scale multimodal dataset of 4,000+ hours of human interactions for AI research
๐ผ๏ธ Blog
๐ Website
๐ฎ Demo
๐ฆ GitHub
๐ Paper
Human communication involves a complex interplay of verbal and nonverbal signals, essential for conveying meaning and achieving interpersonal goals. The Seamless Interaction Dataset is a large-scale collection of over 4,000 hours of face-to-face interaction footage from more than 4,000 participants inโฆ See the full description on the dataset page: https://huggingface.co/datasets/facebook/seamless-interaction.