Yaohan Ding

schoolUniversity of Pittsburghbar_chart#4137 Global Rank

Total Papers

HCI Rank

#4137

Research Areas

Years Active

Recent Publications

When to Explain: Modeling User Need for Explanations in Real-World Autonomous Driving

The integration of artificial intelligence into autonomous vehicles (AVs) raises transparency challenges that can hinder user acceptance and experience. To address when users need AV explanations, we created a large-scale dataset of 3327 diverse driving scenarios, each paired with a user-friendly explanation, and cond…

CHI '251st AuthorExplainable AI (XAI) +1

Explanations Help: Leveraging Human Capabilities to Detect Cyberattacks on Automated Vehicles

Existing defense strategies against cyberattacks on automated vehicles (AVs) often overlook the great potential of humans in detecting such attacks. To address this, we identified three types of human-detectable attacks targeting transportation infrastructure, AV perception modules, and AV execution modules. We propos…

CHI '241st AuthorAutomated Driving Interface & Takeover Design +1

One Size Does Not Fit All: Designing and Evaluating Criticality-Adaptive Displays in Highly Automated Vehicles

To promote drivers' overall experiences in highly automated vehicles, we designed three objective criticality-adaptive displays:IO display highlighting Influential Objects, CO display highlighting Critical Objects, and ICO display highlighting Influential and Critical Objects differently. We conducted an online video-…

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