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Jon Froehlich <[log in to unmask]>
Tue, 3 Jun 2014 11:00:02 -0400
text/plain (149 lines)
Hi all,

Please consider submitting to our workshop on "Disasters in Personal
Informatics"--now with an extended deadline of June 18th!

-----------------------------------------------------------
Call for papers (Now with Extended Deadline!):

5th International Workshop on Personal Informatics:
Disasters in Personal Informatics: The Unpublished Stories
of Failure and Lessons Learned

http://www.personalinformatics.org/ubicomp2014/
-----------------------------------------------------------

A workshop to be held at the 2014 ACM International Joint Conference on
Pervasive and Ubiquitous Computing (UbiComp) September 13-17, 2014, Seattle
(Washington, US). Please see http://www.personalinformatics.org/ubicomp2014/
for more information.


INTRODUCTION
Though never a desirable outcome, failure is an inevitable part of
research. Too often, however, the tried but failed paths are lost in the
translation of work to publication. With the pragmatics of publishing
(e.g., page limits) and the academic emphasis on positive outcomes, failed
processes, methodologies, study designs, and technologies are frequently
not disclosed. This is a missed opportunity, particularly for nascent but
growing research areas in HCI/UbiComp that require high costs in time,
development, and recruitment for building and deploying testable systems.
Our workshop focuses on one such area, in particular, the rapidly growing
field of Personal Informatics (PI) or Quantified Self (QS).

In this workshop, our goal is to uncover, analyze, discuss, and learn from
the failures of PI and QS research that are most often not captured or
surfaced in traditional publications because of embarrassment, perceived
irrelevance, or simply lack of space. We want to provide an explicit forum
to share stories of failure, perhaps even entire lines of research that did
not succeed, in order to synthesize lessons learned and help progress the
PI research community forward. We aim to bring PI researchers together in
an environment where sharing mistakes and stories of failure is encouraged.
We feel that many researchers including ourselves would greatly benefit
from a solid set of practical, community-harvested guidelines and
methodologies for conducting PI research in light of the challenges in this
space. New PI researchers would particularly benefit from the surfacing of
this institutionalized knowledge, as detours caused by repeating previous
researchers' mistakes can delay a project on the order of months or years
without meaningfully advancing research goals.


TOPICS OF INTEREST
We invite participants from a broad range of disciplines, including
technologists, behavioral scientists, designers, and artists to submit
papers describing their PI-related disasters, a retrospective analysis of
what went wrong and why, and a synthesis of lessons learned. We invite
contributions on topics associated with research failure points, including
but not limited to:

* User Study Design: How decisions affecting the design of studies proved
to be flawed, affected the validity of results, led to biases, or
constrained findings.

* Privacy and Security: Approaches that could threaten the privacy of
individuals or expose study participants to harm or discomfort.

* Field Deployment: Undesirable issues that emerged only in real-life
deployments and could not be anticipated.

* Hardware and Software: The role that hardware and software platform
choices played in failed experiments (e.g., open vs. proprietary, custom
vs. off-the-shelf, web, mobile, desktop, wearables, sensors)

* Data Collection: How different approaches for data collection could
compromise the data (e.g., in case of hardware failure).

* Methods and Techniques: Misuse of tools and instruments, such as poorly
produced surveys and experience sampling abuse.

* User Interfaces: How UI design influenced findings, proved to be an
obstacle in terms of user experience, provided misguided feedback or
steered participants away from the task at hand.

* APIs: Issues around querying user data through third-party APIs, both in
terms of technical approaches that proved limiting/unsuccessful or that
violated terms of service agreements.


WORKSHOP FORMAT
The one-day workshop day will be split between rapid, five-minute workshop
madness talks summarizing the authors' workshop papers, small-group
breakout discussions, and full-group presentations that distill and
summarize the breakout sessions. The morning session will be dedicated to
the topic of "failures," and the afternoon will be focused on "lessons
learned". We will conclude with a 45-minute synthesis and all-group
discussion.


PAPER SUBMISSIONS
Submitted papers must be 2-4 pages in the SIGCHI Extended Abstract format
(see templates below). Papers will be reviewed by the committee based on
their topic relevance, exposition, and potential to provoke thoughtful
discussion. Each paper will receive at least two independent reviews.
Accepted papers will be published in the UbiComp 2014 adjunct proceedings.
Please send submissions to [log in to unmask] by 5:00PM PDT.

Word Template:
http://www.sigchi.org/publications/chipubform/sigchi-extended-abstracts-word-template/view
.
LaTeX Template:
http://www.sigchi.org/publications/chipubform/sigchi-extended-abstracts-latex-template/view


IMPORTANT DATES (UPDATED)
Jun 2 (Now June 18!): Deadline for workshop paper submissions
Jun 22 (Now June 25!): Author notifications
Jun 29: Deadline for camera-ready paper
Sep 14: Workshop

Note: because of the updated timeline, accepted authors will have only four
days to produce their camera-ready versions. Given that this is a workshop
with short papers, we expect that this shouldn't be an issue but do let us
know if this creates a insurmountable problem for you. We are aiming for
inclusivity!


ORGANIZERS
Jon Froehlich, Assistant Professor, University of Maryland, College Park
Matthew Kay, Ph.D. student, University of Washington
Jakob Eg Larsen, Associate Professor, Technical University of Denmark (DTU)
Edison Thomaz, Ph.D. candidate, Georgia Institute of Technology

-- 
Jon Froehlich
Assistant Professor
Computer Science
University of Maryland, College Park
http://www.cs.umd.edu/~jonf/
@jonfroehlich <https://twitter.com/jonfroehlich> - Twitter

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