[Ieee_vis] Human-Data Interaction Workshop, Vis 2021

[HDI Workshop]

The 1st IEEE Visualization Workshop on Human-data Interactions invites
submissions  of original work on how humans engage with data  and the roles
that visualization can play in that broad spectrum of human-data
interaction.



https://sites.google.com/view/hdi-vis2021/home
Call for Participation

interacting with data has become an integral part of many people’s daily
lives. Not only working professionals but also lay individuals and
data-enthusiasts engage in a broad range of activities that involve data to
achieve their goals in work, social, and personal contexts. Yet despite the
huge potential in facilitating human-data interaction for more effective,
productive, and rewarding experiences, current visualization research
focuses on limited aspects of how people interact with data. The emerging
area of *human-data interaction (HDI)* encompasses all aspects where humans
touch and engage with data, widening the scope beyond traditional
visualization and visual analytics to consider the breadth of how people
think with and use data. It also expands the focus on data experts to a
wider range of users with varying levels of data and visualization
literacy. We need to rethink existing HDI scenarios, envision new
scenarios, and to explore ways to support this diversity of users, which in
turn brings new challenges and opportunities to visualization and visual
analytics researchers.



In this half-day workshop, we aim to understand the broader ecosystem of
data activities that humans engage in and explore the roles that
visualization can play in that broader spectrum of human-data interaction.
Our specific goals include:

1.      *Connect* researchers and practitioners from multiple disciplines
to enhance understanding of how humans work with, play with, understand and
think with data;

2.      *Expand* the understanding of where and how visualization
researchers might contribute to and benefit from this larger lens; and

3.      *Define* the space and the implications for visualization and
visual analytics research and design.



The workshop will combine a panel with invited speakers, theme-building
activities, and breakout/discussion sessions. Themes will be gleaned from
the accepted submissions.
We welcome submissions that articulate the authors' thoughts about,
experiences of and vision for HDI. Topics may include (but are not limited
to):

§   The role of HDI in visualization, and vice versa;

§   Kinds of interactions people want to have with their data;

§   The differences and synergies between HDI and HCI;

§   Mental models and how people think about (and with) their data

§   Implications for visualization and visual analytics design;

§   Implications for data collection, data curation, and data access;

§   Case studies and practical HDI lessons from the trenches;

§   Data and visualization outside the workplace; and

§   Future research directions for HDI.



Lyn Bartram, *Simon Fraser University*

Sheelagh Carpendale, *Simon Fraser University*

Eun Kyoung Choe, *University of Maryland, College Park*

Bongshin Lee, *Microsoft Research*

Melanie Tory, *Northeastern University*
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://listserv.uni-tuebingen.de/pipermail/ieee_vis/attachments/20210507/10bc581c/attachment-0001.html>