Bridging the Gap between Privacy by Design and Privacy in Practice
Workshop Summaries
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Stark, Luke
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King, Jen
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Page, Xinru
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Lampinen, Airi
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Vitak, Jessica
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Wisniewski, Pamela
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Whalen, Tara
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Good, Nathaniel
Extended Abstracts of the ACM CHI'16 Conference on Human Factors in
Computing Systems
2016-05-07
v.2
p.3415-3422
© Copyright 2016 ACM
Summary: While there has been considerable academic work over the past decade on
preserving and enhancing digital privacy, little of this scholarship has
influenced practitioners in design or industry. By bringing together leading
privacy academics and commercial stakeholders, this workshop builds on previous
gatherings at ACM conferences and in the broader privacy community. Workshop
attendees will address the 'privacy by design' implementation problem, and will
work together to identify actionable methods and design heuristics for closing
the gap between academic research and industry solutions for protecting user
privacy in the design of systems, digital products and services.
Values & design in HCI education
Workshop summaries
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Koepfler, Jes A.
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Stark, Luke
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Dourish, Paul
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Sengers, Phoebe
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Shilton, Katie
Proceedings of ACM CHI 2014 Conference on Human Factors in Computing Systems
2014-04-26
v.2
p.127-130
© Copyright 2014 ACM
Summary: The aim of this one-day workshop is to share existing research and practice,
and to develop new strategies and tools, for teaching values and design in HCI.
Through collaborative group discussions and exercises, participants will
critique and create approaches for making personal, social, and technical
values a pedagogical focus in both traditional learning environments, such as
classrooms and conferences, and alternative learning spaces such as design labs
and workplaces. This workshop will bridge current gaps in research and practice
as well as lay the groundwork for future efforts in teaching values and design
in HCI.
Methods to account for values in human-centered computing
Workshop summaries
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Detweiler, Christian
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Pommeranz, Alina
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Stark, Luke
Extended Abstracts of ACM CHI'12 Conference on Human Factors in Computing
Systems
2012-05-05
v.2
p.2735-2738
© Copyright 2012 ACM
Summary: This workshop brings together scholars and practitioners of human-centered
computing, requirements engineering, ethics and related fields. We will share
knowledge and insights on methods to account for human values in information
technology design. Through short presentations, group discussions and practical
design group work, participants will collaborate on developing methodological
frameworks for values in human-centered computing, and putting these methods
into practice.
SnapToTrace: a new e-textile interface and component kit for learning
computation
Graduate student consortium
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Stark, Liza
Proceedings of the 6th International Conference on Tangible and Embedded
Interaction
2012
v.9
p.399-400
© Copyright 2012 ACM
Summary: Modular toolkits and electronic textiles have emerged as highly effective
resources to engage new audiences in computational learning. This paper will
briefly review past relevant research in these domains, paying close attention
to different taxonomies that consider the role of personal fabrication. Based
on this analysis and user research, I will then introduce an interface
prototype that is pedagogically concerned with user scalability and multiple
points of entry. A specific focus is placed on the role materials play in
achieving these pedagogical goals. I will close with plans for future
iterations of the circuit mat and possible directions for development.
SCANMail: a voicemail interface that makes speech browsable, readable and
searchable
Speech, Audio, Gesture
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Whittaker, Steve
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Hirschberg, Julia
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Amento, Brian
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Stark, Litza
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Bacchiani, Michiel
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Isenhour, Philip
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Stead, Larry
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Zamchick, Gary
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Rosenberg, Aaron
Proceedings of ACM CHI 2002 Conference on Human Factors in Computing Systems
2002-04-20
p.275-282
© Copyright 2002 Association for Computing Machinery
Summary: Increasing amounts of public, corporate, and private speech data are now
available on-line. These are limited in their usefulness, however, by the lack
of tools to permit their browsing and search. The goal of our research is to
provide tools to overcome the inherent difficulties of speech access, by
supporting visual scanning, search, and information extraction. We describe a
novel principle for the design of UIs to speech data: What You See Is Almost
What You Hear (WYSIAWYH). In WYSIAWYH, automatic speech recognition (ASR)
generates a transcript of the speech data. The transcript is then used as a
visual analogue to that underlying data. A graphical user interface allows
users to visually scan, read, annotate and search these transcripts. Users can
also use the transcript to access and play specific regions of the underlying
message. We first summarize previous studies of voicemail usage that motivated
the WYSIAWYH principle, and describe a voicemail UI, SCANMail, that embodies
WYSIAWYH. We report on a laboratory experiment and a two-month field trial
evaluation. SCANMail outperformed a state of the art voicemail system on core
voicemail tasks. This was attributable to SCANMail's support for visual
scanning, search and information extraction. While the ASR transcripts contain
errors, they nevertheless improve the efficiency of voicemail processing.
Transcripts either provide enough information for users to extract key points
or to navigate to important regions of the underlying speech, which they can
then play directly.
Modeling the Acquisition of English: An Intelligent CALL Approach ☆
Acquiring User Models from Multi-modal User Input
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Michaud, Lisa N.
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McCoy, Kathleen F.
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Stark, Litza A.
Proceedings of User Modeling 2001
2001-07-13
p.14-23
© Copyright 2001 Springer-Verlag
Summary: In this paper, we present a methodology for the development of a user model
for CALL which captures various levels of language acquisition using
individualized overlays supported with stereotypes. Our current focus is the
empirical analysis of the order of written English grammatical structure
acquisition in our learner population used to develop stereotype layers in our
model.
