In a controlled comparison, AI confidence levels and text explanations improved human-AI decision accuracy, while reflective questions and human feedback increased effort and reduced trust.
Visualization for Human-Centered AI Tools
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abstract
Human-centered AI (HCAI) puts the user in the driver's seat of so-called human-centered AI-infused tools (HCAI tools): interactive software tools that amplify, augment, empower, and enhance human performance using AI models. We discuss how interactive visualization can be a key enabling technology for creating such human-centered AI tools. To validate our approach, we surveyed the existing literature on HCI, AI, and visualization and interviewed researchers in relevant fields to define the characteristics of HCAI tools. We then present several examples of HCAI tools using visualization and use the examples to extract guidelines on how interactive visualization can support future HCAI tool research and development.
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Engaging with AI: How Interface Design Shapes Human-AI Collaboration in High-Stakes Decision-Making
In a controlled comparison, AI confidence levels and text explanations improved human-AI decision accuracy, while reflective questions and human feedback increased effort and reduced trust.