Lingjie Guo: Expanding the human-centered boundaries of UX design

In the age of increasingly integrated digital systems, user experience (UX) design has transcended simple interface usability. Today, UX designers confront intricate technical frameworks, guide users through AI-driven workflows, and foster informed decision-making. Trust, inclusivity, and lasting relationships between people and technology are now at the forefront.

Lingjie Guo, a UX designer based in Los Angeles, embodies this advanced human-centered approach. Her work melds human-computer interaction, human factors, and digital product thinking to focus on the internal logic and societal value of digital products.

Guo advocates for a future where UX design extends beyond single-screen, isolated interactions. She emphasizes creating transparent, comprehensible product systems that help users grasp underlying mechanisms, reduce confusion, and maintain control over their digital experiences. "Design is not just about making technology easier to use," Guo maintains. "It's about helping people understand complex systems, make better decisions, and engage with technology more confidently."

At the core of Guo's design philosophy is a systematic, interpretive approach that sets her apart from conventional UX design, which often emphasizes visual consistency and minor interaction details. Her focus lies on internal product architecture, tackling information ambiguity that leads to user confusion and operational barriers.

Drawing from her extensive academic background in human-computer interaction and human factors, Guo structures her methodology around user information processing, system status perception, and error correction. She optimizes information architecture, language, interaction workflows, and real-time feedback mechanisms to enhance the overall user experience.

Guo extends her human-centered design philosophy to artificial intelligence products. While AI provides personalized and dynamic outputs, algorithmic opacity often results in unpredictable user experiences and diminished trust. She challenges the industry's tendency to prioritize technical functionality over system interpretability.

Instead of requiring users to adapt to opaque algorithms, Guo proposes visualizing AI capabilities, limitations, and operational logic to empower users to actively review, evaluate, and revise automated outputs.

Across her independent projects, Guo's design philosophy is implemented, showcasing unique design logic and innovative solutions for emerging technology scenarios. Her project Recollect, for instance, introduces a differentiated approach to personal memory management and AI ethics. Unlike existing tools that focus on unrestricted data collection and public content distribution, Recollect integrates AI-assisted data organization with user privacy sovereignty.

Its design includes a user-centric private memory management system that balances technical functionality with privacy protection.

Another notable work, EmpaSee, redefines the role of technology in learning and emotional cognition. It moves away from the industry norm of allowing technology to override human judgment. Instead, EmpaSee positions digital tools as supportive aids for independent learning, emotional perception, and personal cognitive growth. By establishing a human cognition-oriented interaction framework, the project mitigates the alienation caused by algorithm-led user cognition in traditional digital products.

Guo's approach to accessibility also distinguishes her. While many teams treat accessibility as a late-stage compliance adjustment, she views inclusive design as a fundamental product quality criterion. She integrates accessibility considerations throughout the entire design process, ensuring that readable information architecture, adaptable visual contrast, predictable interaction logic, and clear system feedback benefit users with diverse needs and enhance overall user experience.

Guo's comprehensive accessibility system addresses structural defects arising from over-reliance on visual assumptions and ambiguous logic, improving product stability and universality. By shifting accessibility from a remedial revision to inherent product quality, she elevates conventional inclusive design practices.