Livia

Application for Xianghan Wwang, Jing Yao, Rui Xi

Livia is an AI powered digital companion designed to provide emotional support through memory driven interactions, mood tracking, and proactive engagement. Unlike traditional chatbots, Livia remembers user experiences, initiates conversations, and evolves over time. Integrated AR technology brings Livia into the real world, creating an immersive presence, while smartwatch compatibility ensures continuous, real time support. By blending AI companionship with human like emotional intelligence, Livia redefines how technology can foster meaningful connections and enhance well being.

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Livia by Xianghan Wang Jing Yao Rui Xi

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Application by Xianghan Wang Jing Yao Rui Xi

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Xianghan Wang Jing Yao Rui Xi Livia

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Xianghan Wang Jing Yao Rui Xi Application

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Xianghan Wang Jing Yao Rui Xi Design Team Photo

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Xianghan Wwang Jing Yao Rui XiBrand Logo

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Xianghan Wang, Jing Yao, Rui Xi Interview

Complimentary Journalist Resource: Obtain an interview with Xianghan Wang, Jing Yao, Rui Xi, approximately 1284 words, to enrich your articles. Free download available now. Access Xianghan Wang, Jing Yao, Rui Xi Interview Now.

Livia Application Press Releases

Press resources for Livia are offered in several languages: English.

Unique Properties

Livia redefines digital companionship, offering genuine support by remembering conversations, preferences, and emotions. Unlike chatbots, she provides the warmth of a trusted friend through personalized interactions. By creating judgment-free spaces, Livia addresses global loneliness. Stepping into real-world environments for interactive experiences through AR, while smartwatch integration ensures always-available support. Through intuitive design, Livia makes AI feel personal and alive.

Tags

AI, Companion App, Mental Health, Emotional Support, AR

Production Technology

Livia was developed using AI technologies, including natural language processing, memory systems, and emotion recognition algorithms. The design process prioritized user-centric methodologies, incorporating iterative testing and feedback loops to refine its intuitive interface. AR functionality leverages real-time spatial mapping to create immersive interactions, while seamless integration across devices, including smartwatches, ensures a cohesive and accessible user experience.

Design Challenge

The biggest challenge was making Livia feel truly "alive" by combining emotional intelligence with proactive engagement. We struggled to balance advanced AI features like memory recall, mood tracking, and AR with accessibility. External factors like ensuring data privacy and seamless multi-device integration added complexity. Overcoming these challenges required iterative design, real-world user feedback, and innovative use of emotion-driven technology to build a lifelike, empathetic companion.

Project Duration

The project started in May 2024 in California, US.

Operation Flow

Livia operates through simple, user friendly interactions. Users can call, text, or use AR mode to engage with Livia, who responds with empathy and memory-driven insights. Key features include mood tracking, proactive checkins, and personalized journaling. AR brings Livia into the user's space for lifelike interactions, while smartwatch integration ensures constant support. This seamless flow fosters meaningful connections, making Livia a companion that feels truly alive and attentive.

Research

We conducted user-centric research to address loneliness and enhance digital companionship. Using surveys, interviews, and usability tests with diverse participants, we identified a need for proactive engagement and emotional personalization. Insights shaped Livia's AR interactions, memory systems, and mood tracking, creating a lifelike, accessible companion. The research impacts society by tackling loneliness and design by redefining standards for AI-driven emotional support.

Inspiration

Livia was designed to address global loneliness and the barriers to mental health support, with nearly one in four people worldwide experiencing loneliness. Stigma, high costs, and limited access leave many without help. Livia offers a personalized, always-accessible companion that uses memory systems and mood tracking to build meaningful connections. It provides a safe, judgment-free space for users to process emotions and feel understood, ensuring tailored, and readily available support.

Image Credits

Xianghan Wang, Jing Yao, Rui Xi

Project Overview

Livia Application has been a Silver winner in the Digital Product Design award category in the year 2024 organized by the prestigious A' Design Award & Competition. The Silver A' Design Award celebrates top-tier designs that embody excellence and innovation. This award acknowledges creations that are not only aesthetically pleasing but also highly functional, reflecting the designer's deep understanding and skill. Silver A' Design Award recipients are recognized for their contribution to raising industry standards and advancing the practice of design. Their work often incorporates original innovations and elicits a strong emotional response, making a notable impact on the improvement of everyday life.

Silver Recognition

Xianghan Wang, Jing Yao, Rui Xi was recognized with the coveted Silver A' Design Award in 2025, a testament to excellence of their work Livia Application.

Xianghan Wang, Jing Yao, Rui Xi Press Releases

Access a rich repository of press releases on Xianghan Wang, Jing Yao, Rui Xi, offered to press and media professionals for unrestricted use in their stories. Now available: Immediate access to 1 press releases for journalists.

Livia Wins Silver A' Design Award for Innovative AI-Powered Emotional Support Application

Los Angeles-based design team Xianghan Wang, Jing Yao, and Rui Xi have been honored with the Silver A' Design Award 2025 for Livia, an AI-powered companion app that addresses global loneliness and mental health barriers by offering personalized, always-accessible emotional support through memory-driven interactions, mood tracking, and immersive AR experiences.

Xianghan Wang, Jing Yao, Rui Xi Newsroom

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