Analysis and Design Methodologies for Conversational AI
The goal of this workshop is to learn user-centered design methods for conversation design for AI and a practical process for applying these methods to building or improving your own chatbot. You will learn user, task and system centric design methods for analyzing and gathering task requirements, designing conversational flows, design user experience and helpful dialog (including personality, emotion, social, and ethical implications of affective computing). We will also delve into the differences between design for voice assistants versus text chatbots.
AI Experience Engineer, Rulai
Thi Avrahami is a Senior AI Experience Engineer at Rulai, a Silicon Valley startup providing enterprise-level chatbot solutions using cutting-edge AI. She holds a Masters degree in Human-Computer Interaction from the School of Computer Science at Carnegie Mellon University. With over 20 years of industry experience, Thi has worked for Fortune 100 companies defining design processes and designing interfaces for AI-powered smart products. Her experience also includes research development in the areas of intelligent agents and language modeling at CMU’s Robotics Institute and Language Technologies Institute, the EPA, and the College of Education at University of Washington
Professor Yi Zhang
University of California I CTO, Rulai