UC Berkeley

schoolSchoolbar_chart#486 Global Rank

Total Papers

HCI Rank

#486

Research Areas

Years Active

Recent Publications

Crepe: A Mobile Screen Data Collector Using Graph Query

Collecting mobile screen information datasets remains challenging for academic researchers. Commercial organizations often have exclusive access to mobile data, leading to a “data monopoly” that restricts academic research and user transparency. Existing open-source mobile data collection frameworks primarily focus on…

CHI '26Explainable AI (XAI) +2

Compliant But Unsatisfactory: The Gap Between Auditing Standards and Practices for Probabilistic Genotyping Software

AI governance efforts increasingly rely on audit standards: agreed-upon practices for conducting audits. However, poorly designed standards can hide and lend credibility to inadequate systems. We explore how an audit standard’s design influences its effectiveness through a case study of ASB 018, a standard for auditin…

CHI '26Voice Accessibility +2

Deaf and Hard of Hearing Access to Intelligent Personal Assistants: Comparison of Voice-Based Options with an LLM-Powered Touch Interface

We investigate intelligent personal assistants (IPAs) accessibility for deaf and hard of hearing (DHH) people who can use their voice in everyday communication. The inability of IPAs to understand diverse accents including deaf speech renders them largely inaccessible to non-signing and speaking DHH individuals. Using…

CHI '26Haptic Wearables +2

Co-Designing Multimodal Systems for Accessible Asynchronous Dance Instruction

Videos make exercise instruction widely available, but they rely on visual demonstrations that blind and low vision (BLV) learners cannot see. While audio descriptions (AD) can make videos accessible, describing movements remains challenging as the AD must convey what to do (mechanics, location, orientation) and how t…

CHI '26Emotion-Sensing Wearables +2

Collaboration and Assistive Technology: Facilitating Joint Awareness for Noise Sensitivity

Existing research has explored various methods to support people with noise sensitivity (PWNS), from desensitization therapies to technological solutions. However, there is a gap in systems that identify and monitor characteristics of noise sensitivity experiences to help PWNS and their companions better understand th…

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https://hci.top/en/institutions/UC%20Berkeley?source=all

At a Glance

Institution Snapshot

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Display Name

UC Berkeley

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Location

United States · North America

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Overall Rank

#486

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Total Papers

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Active Years

2026

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Network

4 researchers · 2 collaborators

Research Profile

Top Research Directions

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Research Methods & Design Practice

User Research Methods (Interviews, Surveys, Observation)

AI & Machine Learning Interaction

Explainable AI (XAI)

Voice Interaction & Conversational Systems

Voice Accessibility

Personal Informatics & Self-Tracking

Behavior Change & Reflection Technology

Privacy, Security & Trust

Privacy by Design & User Control