No. 4: Designing the User Experience of Machine Learning Systems

All Papers

• Exploring Synergies between Visual Analytical Flow and Language Pragmatics

  Vidya Setlur, Melanie Tory

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• Dice in the Black Box: User Experiences with an Inscrutable Algorithm

  Aaron Springer, Victoria Hollis, Steve Whittaker

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• Reimagining the Goals and Methods of UX for ML/AI

  Philip van Allen

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• How Anticipatory Design Will Challenge Our Relationship with Technology

  Joël van Bodegraven

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• Privacy by Design in Machine Learning Data Collection: A User Experience Experimentation

  Jonathan Vitale, Meg Tonkin, Suman Ojha, Mary-Anne Williams, Xun Wang, William Judge

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• Interactive Machine Learning for End-User Innovation

  Francisco Bernardo, Michael Zbyszynski, Rebecca Fiebrink, Mick Grierson

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• When User Experience Designers Partner with Data Scientists

  Fabien Girardin, Neal Lathia

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• Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications

  Chieh-Yang Huang, Ting-Hao Kenneth Huang, Lun-Wei Ku

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• An Experimentation Engine for Data-Driven Fashion Systems

  Ranjitha Kumar, Kristen Vaccaro

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• A Portable Navigation System with an Adaptive Multimodal Interface for the Blind

  Jacobus Cornelius Lock, Grzegorz Cielniak, Nicola Bellotto

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• Communicating Machine Learned Choices to E-Commerce Users

  Narayanan Seshadri, Gyanit Singh, Justin House, Mukesh Nathan, Nish Parikh

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• The Role of Design in Creating Machine-Learning-Enhanced User Experience

  Qian Yang

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• Not-so-Autonomous, Very Human Decisions in Machine Learning: Questions When Designing for ML

  Henriette Cramer, Jenn Thom

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• Design implications for Designing with a Collaborative AI

  Janin Koch

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• DJ Bot: Needfinding Machines for Improved Music Recommendations

  Nikolas Martelaro, Wendy Ju

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