DESGN-6700-1: Design Electives: AI-based interactions
Fall 2024
- Subject: Graduate Design
- Type: Workshop
- Delivery Mode: In-Person
- Level: Graduate
- Campus: San Francisco
- Course Dates: August 28, 2024 — December 10, 2024
- Meetings: Wed 4:00-07:00PM, Main Bldg - W1
- Instructor: Jiwon Jun
- Units: 3.0
- Enrolled: 16/12 Closed
Description:
In this class, students will learn about use cases of AI-based interaction design in the industry and explore how AI will transform our experiences with tools. At the beginning of the class, students will build their own knowledge of UX design considerations for AI-based systems through readings, case studies, and discussions. Based on this learning, students will undertake individual and independent design research to investigate, validate, and prototype their own ideas of AI-based interactions in the rest of the class. Through this process, students will learn about design research methods and gain basic knowledge about AI-based systems. Active engagement in discussion and foundational design skills are required, such as sketching, 3D modeling, diagramming, and storyboarding to visualize ideas. A short field trip and guest lectures may be included in the class.
Pre-Requisites and Co-Requisites:
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