Program

The workshop will have 4 panel sessions, each on a different theme. Each panel will be comprised of 4 participants giving a 15 minute talk, followed by a 30 minute plenary discussion. There will also be a poster session in the breaks.

The workshop will be in room 210H.

Videos of the Talks are available here

We will have a shared google docs folder to make notes on the workshop

https://docs.google.com/document/d/1tETrfRRzsd9amvO29rQgTvt8nGDqXSEYh7zvjryFE94/edit?usp=sharing

9:00 Interacting with Machine Learning

Human-Centered and Interactive: Expanding the Impact of Topic Models
Alison Smith, Tak Yeon Lee, Forough Poursabzi-Sangdeh, Jordan Boyd-Graber, Niklas Elmqvist, Kevin Seppi and Leah Findlater

Usability Challenges underlying Bicluster Interaction for Sensemaking
Maoyuan Sun, Peng Mi, Hao Wu, Chris North and Naren Ramakrishnan

Human-Machine-Learner Interaction: The Best of Both Worlds
Eli T. Brown, Remco Chang and Alex Endert

Debugging Machine Learning
Gabriel Cadamuro, Ran Gilad-Bachrach and Xiaojin Zhu

10:30 Coffee and Posters

11:00 Applications

Machine Learning in Expressive Gestural Interaction
Baptiste Caramiaux

Methods for Estimating User State from Real-time fNIRS Data
Samuel Hincks, Daniel Afergan and Robert Jacob

Motion Data and Machine Learning: Prototyping and Evaluation
Thierry Ravet Ravet, Joëlle Tilmanne Tilmanne, Nicolas d’Alessandro and Sohaib Laraba

Interactive Active Learning for Self-Tracking in mHealth
Scott Cambo and Darren Gergle

12:30 Lunch

13:30 Visualisation and Interpretation

Interpretable Machine Learning: Lessons from Topic Modeling
Michael Paul

Supporting User Interaction with Machine Learning through Interactive Visualizations
Jules Françoise, Frédéric Bevilacqua and Thecla Schiphorst

Explanations Considered Harmful? User Interactions with Machine Learning Systems
Simone Stumpf, Adrian Bussone and Dympna O’Sullivan

Designing Usable Interactive Visual Analytics Tools for Dimension Reduction
Jessica Zeitz Self, Xinran Hu, Leanna House, Scotland Leman and Chris North

15:00 Coffee and Posters

15:30 Beyond labelling

Resolvable vs. Irresolvable Ambiguity: A New Hybrid Framework for Dealing with Uncertain Ground Truth
Mike Schaekermann, Edith Law, Alex C. Williams and William Callaghan.

Computational Narrative Intelligence: A Human-Centered Goal for Artificial Intelligence
Mark Riedl

Challenges of Applying Machine Learning to Qualitative Coding
Nan-Chen Chen, Rafal Kocielnik, Margaret Drouhard, Vanessa Peña-Araya, Jina Suh, Keting Cen, Xiangyi Zheng and Cecilia R. Aragon

Research Prospects in the Design and Evaluation of Interactive Evolutionary Systems for Art and Science
Nadia Boukhelifa, Anastasia Bezerianos, Alberto Tonda and Evelyne Lutton.

Posters

Optical Music Recognition with Human Labeled Constraints
Raphael Christopher, Liang Chen, Yucong Jiang, Rong Jin and Erik Stolterman

The Moving Target in Creative Interactive Machine Learning
Mark Cartwright and Bryan Pardo

Exploring Effective Decision Making through Human-Centered and Computational Intelligence Methods
Kyungsik Han, Kristin Cook and Patrick C. Shih

“Why Should I Trust You?'”: Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro, Sameer Singh and Carlos Guestrin

Learning Layout Design: Challenges and Opportunities
Janin Koch, Daryl Weir and Antti Oulasvirta

Bridging Machine Learning and Real World Complexities with Interaction Design
Qian Yang

Data literacy to support human-centred machine learning
Annika Wolff, Daniel Gooch and Gerd Kortuem

Can Machine-Learning Apply to Musical Ensembles?
Charles Martin and Henry Gardner

Towards Crowd-Assisted Data Mining
Sai Gouravajhala, Danai Koutra and Walter Lasecki