Aug 16, 2022  
2020-2021 Undergraduate Academic Catalog 
    
2020-2021 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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UX 3035 - Conversation Design

3 lecture hours 0 lab hours 3 credits
Course Description
Chatbots, which include voice assistants like Amazon Alexa and Google Home, have seen an unprecedented growth in the last decade due to their wide applications in business, marketing, customer support, and eCommerce. Today the voice revolution continues to change the ways people interact with technology. Yet voice interface design is still in its nascent stage due to the inherent complexity of human language.  The goal of this course is to cover best practices in making voice assistants more intuitive and user-friendly through conversation design. Conversation design is approached as a synthesis of several design disciplines, including user interface design, interaction design, information architecture, UX writing, and linguistics. Students gain a foundation knowledge of conversation design components, principles, and process.   (prereq: GS 1002  or GS 1020H , and UX 2031 , UX 3011 , and junior standing)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Be familiar with the history and applications of chatbots 
  • Understand the benefits and limitations of voice design 
  • Demonstrate knowledge of specifics of voice design 
  • Be familiar with job prospects for conversation designers  
  • Demonstrate awareness of the best industry practices in conversation design 
  • Become proficient in conversation design fundamentals
  • Contribute a conversation design sample of work to UX 4410  - Digital Portfolio 

Prerequisites by Topic
  • User interface design
  • Interaction design
  • UX writing
  • UX research 

Course Topics
  • History and applications of voice assistants    
  • Conversation design guides in industry (e.g., Google, Amazon, Apple, Microsoft)
  • Conversation design styles  
  • Conversation design process
  • Conversation design principles 
  • Linguistic aspects of conversation design 
  • Conversational components 
  • Error handling
  • Visual components of conversation design 
  • Conversation design scalability across platforms/devices  

Coordinator
Dr. Nadya Shalamova



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