Curriculum vitae · August 2026Trust, mediated interaction, and experiments

Hao Ling

A researcher of trust when interaction changes medium.

I study what happens to the conditions for trust when economic interaction moves onto a new medium.

My training in behavioral and experimental economics lets me compare physical, virtual-reality, and AI-mediated settings with incentive-compatible designs and causal identification.

Download the full CV (PDF, July 2026)

Abstract portrait of Hao Ling with short dark hair and glasses holding an orange cat

Selected work

status and scope are deliberately explicit

Trust Formation in AI Delegation: The Interplay of Explainability and Anthropomorphism

Chenyang Li* · Zhixuan Deng* · Hao Ling* · Xu Zhang  *co-first authors, equal contribution

Two 2×2 factorial studies test how explainability and anthropomorphism jointly shape trust in delegated decisions: an online experiment (N=900) and a pre-registered eye-tracking lab study (N=57). In the low-engagement online setting, adding anthropomorphism to an explainable agent reduced trust; in the high-engagement lab setting the same combination was complementary. Eye tracking shows the mechanism — explanation acts as a cognitive activator that redirects gaze toward the avatar (icon dwell 1.22% → 15.99%) — so trust depends on cognitive engagement moderating how social cues are processed.

AI delegationexplainabilityanthropomorphismeye tracking

Published · 2026CHI 2026
Honourable Mention (Top 5%)
Barcelona, April 2026
co-first author

Interpersonal Trust and Trustworthiness in a High-Immersion Virtual Environment: A Trust Game Experiment

Hao Ling · Xiangyu Xu · Xu Zhang

A three-group design compares an avatar-free VR baseline, brief exposure to a standardized counterpart avatar, and a physical decision condition (N=180). The baseline and physical conditions are practically equivalent for trust under a stated smallest effect of interest; equivalence for trustworthiness is not established. Brief avatar exposure is associated with a positive but imprecisely estimated change in trust. The study supports a bounded methodological use of high-immersion VR, not general superiority over conventional laboratory experiments.

Pre-registered at the AEA RCT Registry as AEARCTR-0013935 (28 Aug 2024). The results above report Stage 1 of the registered design.

high-immersion VRBerg Trust Gamehuman presencepre-registered

Working paper · posted Dec 2025SSRN 5896843
AEARCTR-0013935
first author

Cognitive Load as the Hidden Cost of Empathy: VR for Inclusive Design

Dawei Xiong · Zhijun Ma · Hao Ling · Xun Wu · Mingming Fan · Xu Zhang

The three-condition design distinguishes interactive, embodied VR from passive video and separates that effect from added emotional intensification. Both VR conditions produced greater empathy gains than passive video, while Emotional VR added no measurable empathy gain over Non-Emotional VR. Non-Emotional VR yielded a higher proportion of auditory-focused solutions and the strongest user-need alignment, without greater measurable empathy: emotional intensity is not a reliable proxy for downstream user-need alignment.

Virtual Realityempathycognitive loadinclusive design

Accepted (forthcoming)International Journal of Human–Computer Interaction (SSCI)
co-author

VRization: A Social Science-Informed Framework for Designing and Evaluating VR as a Scientific Instrument

Hao Ling · Zhongyue Zhang · Mingming Fan · Xu Zhang

A developing framework for understanding and evaluating VR as a scientific instrument.

VR as instrumentresearch design

Work in progressfirst author

Cognitive-Level Differences in Learning with Multi-User Virtual Reality: A Three-Class Cluster-Randomized Pilot Study in Economics Education

Hao Ling · Chunming Ma · Xu Zhang · Lei Chen · Yi-Lung Kuo

A pilot study on how multi-user virtual reality may shape different levels of learning in economics education.

multi-user VReconomics education

Work in progressPresented at CAERDA 2026
first author

Research grants

RMB 150,000 total, as Key Student Researcher

Basic and Applied Basic Research Foundation of Guangdong Province

No. 2025A1515010549 · Experimental Investigation of Human Trust and Cooperation in VR

Role: Key Student Researcher — experimental design, VR development, data analysis. Output: one accepted CHI paper and one working paper.

RMB 100,0002024 – 2026

Research on HKUST(GZ) Practices (ROP) 2025

No. HKUST(GZ)-ROP2025040 · featured in the HKUST(GZ) Opening Ceremony President's Lecture, 2025

Role: Key Student Researcher — VR experiment development, course design, data analysis. Output: one working paper.

RMB 50,0002025 – 2026

Conference presentations

Apr 2026
ACM CHI 2026, Barcelona
“Trust Formation in AI Delegation”
Apr 2026
CAERDA 2026
“Cognitive-Level Differences in Learning with Multi-User Virtual Reality”
Jun 2025
ESA World Meeting
“Balancing the Empathy–Cognition Trade-off: VR for Understanding Visually Impaired Consumers”
Jun 2025
CPLAS Summit
“Beyond the Lecture Hall: Using VR to Teach Economics”
Apr 2024
AP-PPN Annual Conference
VR Experiments Workshop — organiser

Teaching & service

bringing experimental methods into the classroom

Course development

  • VR-based economics teaching, designed under the ROP 2025 grant, HKUST (Guangzhou), 2025–2026
  • “Beyond the Lecture Hall: Using VR to Teach Economics”, CPLAS Summit, June 2025

Workshops

  • Organiser, VR Experiments Workshop, AP-PPN Annual Conference, April 2024
  • Co-design research on VR as a scientific instrument (VRization study)

Memberships

  • Economic Science Association (ESA)
  • Association for Computing Machinery (ACM)

Methods & tools

Experiment design

  • Cross-medium incentive-compatible experiments
  • Trust game, public goods game, game-theoretic incentive design
  • Pre-registration and causal identification

VR program design

  • Unity (C#), independent development of multiplayer VR experiments
  • Mirror Networking for synchronous environments
  • Meta Quest Pro, PICO, VRChat

Measurement & analysis

  • Eye tracking (Ergoneers Dikablis, 100 Hz)
  • oTree, z-Tree
  • Python, Stata, R, MATLAB

Education

2022–present
Ph.D. Candidate in Economics
HKUST (Guangzhou) · defense expected in the second half of 2026
Advisors: Prof. Xu Zhang (primary), Prof. Mingming Fan (co-advisor)
2020–2022
M.Sc. in Economics
The Chinese University of Hong Kong, Shenzhen
2016–2020
B.A. in Finance & Accounting
Southwestern University of Finance and Economics

References

contact details available on request; letters available on request
Primary advisor
Prof. Xu Zhang
Society Hub, HKUST (Guangzhou)
Co-author on CHI 2026, IJHCI, and the trust game working paper
Co-advisor
Prof. Mingming Fan
Information Hub, HKUST (Guangzhou)
Co-author on IJHCI; co-supervisor throughout the PhD
Co-author
Prof. Chenyang Li
Society Hub, HKUST (Guangzhou)
Co-first author on CHI 2026

Contact

Email
[email protected]
ORCID
0009-0007-6212-3267
Full CV
Hao_Ling_CV.pdf (July 2026)