Filtered by themeAI unpredictability1 paperclear ✕

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to DesignQian Yang · 2020Artificial Intelligence (AI) plays an increasingly important role in improving HCI and user experience. Yet many chal­ lenges persist in designing and innovating valuable human-AI interactions. For example, AI systems can make unpredictable errors, and these errors damage UX and even lead to unde­ sired societal impact. However, HCI routinely grapples with complex technologies and mitigates their unintended conse­ quences. What makes AI different? What makes human-AI interaction appear particularly difficult to design? This paper investigates these questions. We synthesize prior research, our own design and research experience, and our observations when teaching human-AI interaction. We identify two sources of AI’s distinctive design challenges: 1) uncertainty surround­ ing AI’s capabilities, 2) AI’s output complexity, spanning from simple to adaptive complex. We identify four levels of AI sys­ tems. On each level, designers encounter a different subset of the design challenges. We demonstrate how these findings reveal new insights for designers, researchers, and design tool makers in productively addressing the challenges of human-AI interaction going forward. Author Keywords User experience, artificial intelligence, sketching, prototyping. CCS Concepts •Human-centered computing → Human computer inter­ action (HCI); Interaction design process and methods;

HCI & Adaptive InterfacesResearch PapersUX of AI & Personalization