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