Andrew Anderson

schoolOregon State Universitybar_chart#2574 Global Rank

Total Papers

HCI Rank

#2574

Research Areas

Years Active

Recent Publications

Measuring User Experience Inclusivity in Human-AI Interaction via Five User Problem-Solving Styles

Motivations: Recent research has emerged on generally how to improve AI products’ human-AI interaction (HAI) user experience (UX), but relatively little is known about HAI-UX inclusivity. For example, what kinds of users are supported, and who are left out? What product changes would make it more inclusive? Objective…

IUI '225th+ AuthorAI-Assisted Decision-Making & Automation

TiiS: After-Action Review for AI (AAR/AI)

Dodge 等人提出 AAR/AI 行动后复盘框架，旨在通过人工智能辅助技术改进决策回顾与反思过程。

IUI '222nd AuthorExplainable AI (XAI) +1

How Do People Rank Multiple Mutant Agents?

How might a person decide on which of several AI-powered sequential decision-making systems to rely? For example, imagine car buyer Blair shopping for a self-driving car, or developer Dillon trying to choose an appropriate ML model to use in their application. Their first choice might be infeasible (e.g., too expensiv…

CHI '184th AuthorExplainable AI (XAI) +2

How the Experts Do It: Assessing and Explaining Agent Behaviors in Real-Time Strategy Games

How should an AI-based explanation system explain an agent's complex behavior to ordinary end users who have no background in AI? Answering this question is an active research area, for if an AI-based explanation system could effectively explain intelligent agents' behavior, it could enable the end users to understand…

IUI '184th AuthorExplainable AI (XAI) +2

Toward Foraging for Understanding of StarCraft Agents: An Empirical Study

Assessing and understanding intelligent agents is a difficult task for users that lack an AI background. A relatively new area, called "Explainable AI," is emerging to help address this problem, but little is known about how users would forage through information an explanation system might offer. To inform the develo…

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