With the AI technologies penetrating every part of our daily life, the way of processing and delivering information has been fundamentally changed, which is more close to human and communication. Chatbot will become the new interface between human and information, human and services, and human and society in the AI era. Dialoging is one of the most common and intuitive ways for human to communication. Previously web interface of searching or browsing is the main interface between human and information, but this will be soon replaced by chatbot. We envision that the chatbot will become the front-end interface of almost all digital everything.
To develop better chatbot technology, it requires inter-disciplinary attentions. For the backend technologies of chatbot, it needs the domain expertise on information summary/cognitive summary, sentiment analysis, topic modeling, natural language processing, text mining, and machine learning. For the frontend technologies of chatbot, it desires user interactive communication, user behavior, user cognitive thinking, user engagement, user interface design, and voice or video communication. Beyond that, it entails the complicated social part of users and society, which includes peer communication, conformity, social and society pressure, trends, personality, social bonding, and more.
ICWSM is the ideal place to host such workshop as it emphasize the connection between computer science and social science. Here we call for contributions from the best global teams in academia and industry working on chatbot to share their insights, network, and brainstorm the future roadmap of chatbot.
|8:30-8:40||Welcome (Workshop Chairs)|
|8:40-9:10||Keynote Hassan Sawaf (Director AI at Amazon)|
|9:10-9:40||Keynote Amit Sheth (Executive Director at Kno.e.sis)|
|9:40-10:00||Keynote Ron Kaplan (previous VP of Amazon)|
|10:00-10:20||Keynote Xavier Amatriain (Cofounder of Curai)|
|10:20-10:40||Keynote Damir Cavar (Professor at Indiana University)|
|11:00-12:00||Light talks about paper presentations
1. Don't get Lost in Translation
2. A Chatbot engine for personalized health support programmes
3. Social network chatbots for smoking cessation
4. Intent generation for goal-oriented dialogue systems based on schema.org annotations
5. A smart bot
|12:00-12:30||Panel discussion: Chatbot: current and future (Zhixian Yan, Google)|
Information or cognitive Summary for chatbot
Natural Language Processing for chatbot
Machine Learning for chatbot
Deep learning for chatbot
Knowledge graph for chatbot
Sentiment analysis and chatbot
Information delivery through chatbot
Social bonding using chatbot
Chatbot for society: such as smart city using chatbot
Online communication behavioral analysis
Psychological analysis of users and their communication
Design Thinking for innovative communication
Creativity and Chatbot
Chatbot and discovery
All papers submitted should have a maximum length of 8 pages and demo papers should be no more than 4 pages. All must be prepared using the ACM camera-ready template. Authors are required to submit their papers electronically in PDF format.