apologies for cross-posting
Dear all,
We would like to invite you to participate in our virtual studio (similar to a
workshop) which will be held in conjunction with ACM TEI’2021, in February.
Please see below for more information and the CFP.
Looking forward to receiving your contributions!
Best regards,
Maliheh Ghajargar
–
Maliheh Ghajargar, Ph.D., Malmö University
malihehghajargar.com
From “Explainable AI” to “Graspable AI”
February 19th, 2021 in conjunction with TEI’2021: https://tei.acm.org/2021/
Studio website: https://sites.google.com/view/graspable-ai/home?authuser=0
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 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.
We invite 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. Possible contributions can be included but not limited:
_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 Grapable AI, or whose graspability is
relevant to the studio three main topic areas that are mentioned above.
Submissions should be sent to graspableai@googlegroups.com
by the end of day (AoE) January 25th.
Organizers: Maliheh Ghajargar (Malmo University, Sweden), Jeffrey Bardzell
(Penn State University, USA), Alison Smith Renner (Decisive Analytics
Corporation, USA), Peter Gall Krogh (Aarhus, Denmark), Kristina Höök (KTH,
Sweden), David Cuartielles (Malmo University, Sweden), Laurens Boer (ITU,
Denmark), Mikael Wiberg (Umea University, Sweden).
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