apologies for cross-posting
Dear all,
Here is a reminder that we are hosting a virtual studio (workshop) on
"Graspable AI” at ACM TEI 2021 conference. The participations are open to
everyone with or without position papers. Please read the CFP below.
Thank you
Maliheh Ghajargar, Ph.D.
malihehghajargar.com
--
From “Explainable AI” to “Graspable AI”
Held in conjunction with ACM Tangible, Embedded, and Embodied Interaction
(TEI), Virtual, February 19th, 2021
Studio website: https://sites.google.com/view/graspable-ai/
ACM TEI 2021:
https://tei.acm.org/2021/
Intelligent systems promise to support diverse use situations, improve task
performance and accuracy, increase transparency, and broaden participation in
computing. However, an interaction modality of intelligent systems that has
been less explored is Tangible Embodied Interaction (TEI). This studio brings
together designers, artists and HCI researchers around topics of tangible and
explainable AI/ML.
In the studio, we will map opportunities that TEI in its broadest sense,
including TUI, embodied interaction, and physical computing can offer to the
design of intelligent systems. We use the phrase Graspable AI, referencing two
senses of the word to grasp: taking something into one’s hand and when the
mind comprehends an idea.
This studio focuses on three successive approaches to Graspable AI:
_Graspable forms are synthesized and unified wholes capable of conveying a
meaning, a message or a state (classifying, learning or explaining) manifest
in physical forms; they are often self-explanatory, intuitive, and relatable.
This studio will explore how such forms of ML/AI models can become basic units
of analysis for graspable AI.
_Graspable forms over time: In a learning system, meaningful units change over
time, increasing the complexity of the outcomes and predictions. We ask how
temporality influences the tangible forms of algorithms, considering metaphors
of biological growth, emergence, and structure-preserving transformations.
_Graspable forms in the world: Design criticism suggests that artifact form
structures and integrates diverse dimensions of design, including
intentionality, user experiences, and the sociocultural contexts in which the
artifact was produced or consumed. We ask how tangible forms, as they undergo
change and transformation, acquire and shape meanings in the world.
Participations are open for everyone with or without position papers, however
we recommend interested participants to submit a position paper (2–4 pages,
excluding the references) in the ACM Extended Abstracts Submission Template
(Word or LaTeX) or as
visual artifacts to graspableai@googlegroups.com
by the end of January 25th. Possible
contributions include (but not limited to):
_Theoretical considerations: using TEI theoretical frameworks to analyze,
interpret and/or frame explainable AI
_Case studies at any stage: proposed, preliminary, or completed case studies
that explore TEI with AI/ML systems.
_Prepared data: any physicalizations of data, preparations of data, or data
sets
_Methods/approaches: new/adapted methods, design tactics, or approaches to
making data more graspable
_Design collections: annotated and visual collections of artifacts, design
concepts, critical writing about specific designs or aspects of designs
_Demonstrations/Performances: visual stories, illustrations, physical objects
and videos (e.g. dance or music performances, short movies, animations) which
visualize or perform the concept of Graspable AI, or whose graspability is
relevant to the studio three main topic areas that are mentioned above.
Important Dates:
Submission deadline: January 25th
Workshop date (virtual): February 19th
Organizers:
Maliheh Ghajargar, Malmo University, Sweden
Jeffrey Bardzell, Pennsylvania State University, USA
Alison Smith-Renner, Decisive Analytics Corporation, USA
Peter Gall Krogh, Aarhus University, Denmark
Kristina Höök, KTH, Sweden
David Cuartielles, Malmö University, Sweden
Laurens Boer, ITU, Denmark
Mikael Wiberg, Umeå University, Sweden
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