YZ Yao Zhang

HCI & HUMAN-CENTERED AI

Yao Zhang.

I study how people use and trust AI across languages, cultures, and real-world settings.

My path to HCI began in interpreting and took me into cross-border aviation projects. I bring field research experience with operators and engineers to questions about AI reliability, localization, and usability.

Explore my research
Three connected research directions: AI reliability and user trust, human-AI interaction across languages and cultures, and UX evaluation AI Reliability and User Trust Human-AI interactionacross languagesand cultures UX evaluation
RESEARCH DIRECTIONS

01 / SELECTED RESEARCH

Research Experience

I use interviews, observation, usability testing, and surveys to understand where systems fail to meet users’ needs.

02 / UX evaluationOCT 2024–JUL 2025

User Experience Evaluation of UAVs For Remote Border Monitoring

Interviews with 10 frontline operators and five aircraft design engineers identified communication disruption as a concern during operations in mountainous terrain.

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Study details

I translated field feedback into design requirements for satellite communications. After integration, we ran ground and flight usability tests at Cijulang Airport in Indonesia. I surveyed 30 onsite operators and engineers after functional validation to gather feedback for the next iteration.

01 / Cross-language & cross-cultural AI adoptionJAN–MAR 2026

GenAI-driven Text Adaptation for GCS Interfaces

How can a ground control station adapt to operators working across languages while preserving aviation terminology and fitting the available screen space?

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Study details

I interviewed Thai and Indonesian operators and collaborated with Chinese engineers. I designed structured prompts for Chinese-to-English abbreviations using aviation terminology and interface length constraints. Three domain experts reviewed the outputs, and 25 operators from Thailand, Indonesia, and the UAE took part in simulation tasks to identify ambiguous wording and moments of hesitation.

03 / AI reliabilityAUG 2026–IN PROGRESS

East Asian Users’ Experiences in Voice Interaction with Generative AI

How do East Asian speakers using English as a second language respond when generative AI misunderstands them? This study examines which adjustments participants experience as compromises and how they describe changes in trust.

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Study details

I recruited 24 participants, eight native speakers each of Mandarin, Korean, and Japanese. Each participant began ten tasks in ChatGPT Voice with a scripted English request, then chose how to respond if the system misunderstood them. I recorded the interactions, asked about trust at three points, and used video playback in semi-structured interviews to explore participants’ choices.

The analysis combines interaction coding, descriptive statistics, and reflexive thematic analysis. It compares observed actions, such as rephrasing a request or switching to typing, with participants’ explanations of whether those actions felt like compromises. Task completion and self-reported trust are analyzed separately.

02 / Cross-Cultural Footprints

Where I’ve lived and worked

I’ve lived and worked in China, Indonesia, and Thailand. Working across languages and local practices in these settings has shaped the questions I ask about how people interpret and use technology.

  1. Before 2017

    Based in

    China

    Lived, studied, and worked in China.

  2. 2017

    Work trips

    South and Southeast Asia

    Traveled to Bangladesh, Malaysia, the Philippines, Thailand, and Indonesia for work.

  3. 2018–early 2020

    Based in

    Indonesia

    Traveled to and worked in Malaysia, Thailand, the Philippines, Singapore, South Korea, and Japan.

  4. 2020

    Based in

    China

    Returned to China to live and work, and traveled to South Korea.

  5. 2021–present

    Based in

    Thailand

    Frequent work trips to Indonesia and the United Arab Emirates. Also traveled to Japan, Türkiye, Vietnam, and Singapore.

03 / BACKGROUND

From interpreting
to field research

My graduate work examined cognitive effort and error patterns in documentary interpreting. In aviation, I worked with operators and engineers across China, Southeast Asia, and the UAE. Those experiences shape my interest in evaluating AI with the people who rely on it in their daily work.

Education

South-Central Minzu University
M.A. in Translation and Interpreting · 2014–2016
Huazhong Agricultural University
B.A. in Arts · English Interpretation · 2010–2014
Python for Everybody
University of Michigan · Coursera · 2026

Industry

Shenzhen Eland Technology Co., Ltd.
Overseas Marketing Manager · 2023–present
Aero Technology Industry Co., Ltd.
Board Member and CEO Assistant · 2022–2023
Beihang UAS Technology Co., Ltd.
Thailand Marketing Manager · 2021–2023
China Harzone Industry Co., Ltd.
Overseas Market Manager · 2016–2021

04 / CONTACT

Get in touch

I’m interested in doctoral research and collaborations on UX evaluation, human-AI interaction across languages and cultures, as well as AI reliability and user trust.

Email me