Printed Program (pdf) - CHI 2012 - Association for Computing ...

Wednesday | Late Afternoon | 16:30—17:50
NOTE | Understanding Experts’ and Novices’ Expertise
Judgment of Twitter Users
Q. Vera Liao, University of Illinois at Urbana-Champaign, USA
Claudia Wagner, DIGITAL- Institute for Information and
Communication Technologies, Austria
Peter Pirolli, Palo Alto Research Center (PARC), USA
Wai-Tat Fu, University of Illinois at Urbana-Champaign, USA
Presents an empirical study to understand the differences between
experts and novices in judging expertise of Twitter authors.
Provides design guidelines for micro-blogger recommendation
system.
n TECHNICAL PRESENTATIONS | BALLROOM G
PROGRAMMING, PERFORMANCE, AND SENSE
MAKING
SESSION CHAIR: John Thomas, IBM Research, USA
NOTE | Modeling Task Performance for a Crowd
of Users from Interaction Histories &
Steven Gomez, David Laidlaw, Brown University, USA
Describes a system for human performance modeling that utilizes
interaction histories from a crowd of end users. Can assist UI
designers in quantitatively evaluating interfaces.
CASE STUDY | Applying Design Strategies in
Publication Networks – A Case Study
Bram Vandeputte, Erik Duval, Joris Klerkx, KU Leuven, Belgium
A comparative case study that investigates the influence of design
strategies on the user behavior. Can provide a guidance in
choosing a design strategy in sensemaking tools.
PAPER | Designing a Debugging Interaction Language
for Cognitive Modelers: An Initial Case Study in Natural
Programming Plus
Christopher Bogart, Margaret Burnett, Oregon State University,
USA
Scott Douglass, Air Force Research Laboratory, USA
Hannah Adams, Rachel White, Oregon State University, USA
Investigates how a debugging environment should support
cognitive modelers. Suggests design implications as well as
validation opportunities for interactive programming tools and
languages.
82 | ACM Conference on Human Factors in Computing Systems
PAPER | CogTool-Explorer: A Model of Goal-Directed
User Exploration that Considers Information Layout
Leong-Hwee Teo, DSO National Laboratories, Singapore
Bonnie John, IBM Research, USA
Marilyn Blackmon, University of Colorado, USA
Describes a tool for predicting novice exploration behavior,
including errors, that accounts for 63-82% of the variance in three
usability metrics. Includes examples using the predictions to direct
design effort.
PAPER | Easing the Generation of Predictive Human
Performance Models from Legacy Systems
Amanda Swearngin, Myra Cohen, University of Nebraska-Lincoln,
USA
Bonnie John, Rachel Bellamy, IBM Research, USA
Describes a tool that leverages GUI testing technology from
Software Engineering in the creation of human performance
models for evaluating existing systems. Many steps are
automated, easing the modeler’s job.
n TECHNICAL PRESENTATIONS | 12AB
SEE HEAR SPEAK: REDESIGNING I/O FOR
EFFECTIVENESS
SESSION CHAIR: Eytan Adar, University of Michigan, USA
PAPER | The SoundsRight CAPTCHA: An Improved
Approach to Audio Human Interaction Proofs for Blind
Users
Jonathan Lazar, Jinjuan Feng, Tim Brooks, Genna Melamed,
Towson University, USA
Brian Wentz, Frostburg State University, USA
Jon Holman, Abiodun Olalere, Nnanna Ekedebe, Towson
University, USA
Blind users cannot use visual CAPTCHAs, and audio CAPTCHAs
have below 50% task success. Blind users had over 90% task
success rate on our new real-time audio CAPTCHA.
PAPER | Voice Typing: A New Speech Interaction Model
for Dictation on Touchscreen Devices
Anuj Kumar, Carnegie Mellon University, USA
Tim Paek, Bongshin Lee, Microsoft Research, UK
Describes Voice Typing, a new speech interaction technique,
where utterances are transcribed as produced to enable real-time
error identification. Reduces user corrections and cognitive
demand for text input via speech.