**apologies for cross-posting**
<br>
<br>CALL FOR POSITION PAPERS
<br>
<br>The UX of Interactive Machine Learning
<br>Workshop at NordiCHI 2020
<br> conference. October 25, Tallinn,
<br>Estonia
<br>Workshop website
<br>
<br>The workshop intends to bring together a group of design and HCI researchers
<br>around the topic of User Experience (UX) of the Interactive Machine Learning
<br>(IML). In this workshop we invite researchers to reflect upon the various
<br>factors that influence the User Experience and user engagement with the
<br>Interactive Machine Learning system as a changing and intelligent system which
<br>is able to learn.
<br>Among the factors that are likely to have an influence on the user experience
<br>we would like to spark discussion around (not limited to) the following
<br>categories:
<br>Artifact related experiences: Artifact related factors include the explicit
<br>use and interactions of different forms of devices, such as: user interface
<br>(e.g. personal mobile phone, stationary interactive tablet), or physical
<br>object (e.g. push button) or interaction without an interface (e.g. gestures,
<br>voice).
<br>Context dependent user experiences: Diverse environmental factors also inform
<br>and shape User Experiences of IML. Such factors include location, environment
<br>lighting, the size and the purpose of the space. Likewise are time-related
<br>factors, which include: time of the day, activity of the time, time of the
<br>notification when model asks for input in ActiveLearning, the user’s
<br>temporal delay to answer and label data.
<br>Human and/vs Machine epistemologies related experiences: Humans and machines
<br>encounter data and process it into information and meaning in different ways,
<br>with neither side fully understanding the other. This state of affairs has
<br>implications for privacy, trust and ownership.
<br>Collaborative user experiences: We are also concerned with collaboration and
<br>democratic participation between users and ML models, and how the
<br>collaboration influences or shapes the User Experience.
<br>We invite interested participants to submit position papers (2–4 pages) in
<br>the ACM submission format
<br>, to human.ml.interaction@gmail.com
<br>, which addresses at least one of the
<br>following contributions categories:
<br>Theoretical considerations: using UX and other HCI related key theoretical
<br>frameworks to analyse and frame UX of IML.
<br>Case studies: technical and empirical works that explore the user interactions
<br>and user experiences of IML systems.
<br>Design-based explorations: implementation of IML systems in real-world
<br>settings.
<br>Research through Design (RtD): understanding and researching the UX of IML
<br>through designed objects and tools.
<br>Submission deadline: August 21st, 2020
<br>Notification: September 14th, 2020
<br>
<br>Organising committee:
<br>Maliheh Ghajargar, Jan Persson, Jeffrey Bardzell, Lars Holmberg, Agnes Tegen
<br>
<br>–
<br>Maliheh Ghajargar, Ph.D.
<br>HCI. Design Research.
<br>School of Arts and Communication
<br>Internet of Things and People Research Centre
<br>
<br>Malmö University
<br>Tel: +46 (0)769410597
<br>malihehghajargar.com
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