**Update: The workshop will be held online.
Human-Machine Learning Interaction Design: Challenges and Opportunities
Workshop at IoT’2020 conference. October 6th, Malmö, Sweden
Deadline for submission (EXTENDED): July 3rd, July 20th, 2020
**Update: The workshop will be held online.
Deadline for submission (EXTENDED): July 3rd, July 20th, 2020
Machine Learning (ML) is an area of research within Artificial Intelligence (AI) which uses complex mathematical models and data to recognize patterns and to aid decision making in different application areas. A key aspect of ML is the training when the machine is learning to detect patterns and make good classifications. While advances in the field have improved ML-methods, nonetheless humans also frequently have a crucial role to play in training of the models. In interactive machine learning (IML) the training occurs during an initial period and may also continuously occur based on user interaction. Yet how humans interact with ML models in training is not well understood. Connecting humans and ML as well as potentially massive datasets into interactive machine learning, we argue requires a multidisciplinary approach. This workshop aims to focus on humans interacting with models in training from the perspectives of HCI, Interaction Design, and Computer Science, by mapping UX and IML according to factors shared by both, with implications for future HCI research.
14:00
14:15 - 14:30
14:30 - 15:30
15:30 - 16:00
16:00 - 16:45
16:45 - 17:40
17:45
Coffee!
Introduction to the workshop - In Zoom main room
Position paper presentations - In Zoom main room
Coffee break / Group creation
Brainstorming - in Zoom break-out rooms
Presentation of research ideas - In Zoom main room
Conclusion - In Zoom main room