Titus Barik

schoolApplebar_chart#1443 Global Rank

Total Papers

HCI Rank

#1443

Research Areas

Years Active

Recent Publications

The Way We Notice, That’s What Really Matters: Instantiating UI Components with Distinguishing Variations

Front-end developers author UI components to be broadly reusable by parameterizing visual and behavioral properties. While flexible, this makes instantiation harder, as developers must reason about numerous property values and interactions. In practice, they must explore the component’s large design space and provide…

CHI '26CorrespondingHuman-LLM Collaboration +2

Improving User Interface Generation Models from Designer Feedback

Despite being trained on vast amounts of data, most LLMs are unable to reliably generate well-designed UIs. Designer feedback is essential to improving performance on UI generation; however, we find that existing RLHF methods based on ratings or rankings are not well-aligned with with designers' workflows and ignore t…

UIST '25CorrespondingHuman-LLM Collaboration +1

SQUIRE: Interactive UI Authoring via Slot QUery Intermediate REpresentations

Frontend developers create UI prototypes to evaluate alternatives, which is a time-consuming process of repeated iteration and refinement. Generative AI code assistants enable rapid prototyping simply by prompting through a chat interface rather than writing code. However, while this interaction gives developers flexi…

CHI '25CorrespondingKnowledge Worker Tools & Workflows +1

Misty: UI Prototyping Through Interactive Conceptual Blending

UI prototyping often involves iterating and blending elements from examples such as screenshots and sketches, but current tools offer limited support for incorporating these examples. Inspired by the cognitive process of conceptual blending, we introduce a novel UI workflow that allows developers to rapidly incorporat…

IUI '225th+ AuthorEye Tracking & Gaze Interaction +1

Understanding Screen Relationships from Screenshots of Smartphone Applications

All graphical user interfaces are comprised of one or more screens that may be shown to the user depending on their interactions. Identifying different screens of an app and understanding the type of changes that happen on the screens is a challenging task that can be applied in many areas including automatic app cra…

CHI '224th AuthorHuman-LLM Collaboration +1

Towards Complete Icon Labeling in Mobile Applications

Accurately recognizing icon types in mobile applications is integral to many tasks, including accessibility improvement, UI design search, and conversational agents. Existing research focuses on recognizing the most frequent icon types, but these technologies fail when encountering an unrecognized low-frequency icon.…

CHI '225th+ AuthorExplainable AI (XAI) +3

Symphony: Composing Interactive Interfaces for Machine Learning

Interfaces for machine learning (ML), information and visualizations about models or data, can help practitioners build robust and responsible ML systems. Despite their benefits, recent studies of ML teams and our interviews with practitioners (n=9) showed that ML interfaces have limited adoption in practice. While ex…

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