[1]
Data organization and visualization using self-sorting map
Image compositing and ordering
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Strong, Grant
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Gong, Minglun
Proceedings of the 2011 Conference on Graphics Interface
2011-05-25
p.199-206
© Copyright 2011 Authors
Summary: This paper presents the Self-Sorting Map (SSM), a novel algorithm for
organizing and visualizing data. Given a set of data items and a dissimilarity
measure between each pair of them, the SSM places each item into a unique cell
of a structured layout, where the most related items are placed together and
the unrelated ones are spread apart. The algorithm nicely integrates ideas from
dimension reduction techniques, sorting algorithms, and data clustering
approaches. Instead of solving the continuous optimizing problem as other
dimension reduction approaches do, the SSM transforms it into a discrete
labeling problem. As a result, it can organize a set of data into a structured
layout without overlapping, providing a simple and intuitive presentation.
Experiments on different types of data show that the SSM can be applied to a
variety of applications, ranging from visualizing semantic relatedness between
articles to organizing image search results based on visual similarities. Our
current SSM implementation using Java is fast enough for interactively
organizing datasets with hundreds of entries.
[2]
New Directions in Human-Computer Interaction Education, Research, and
Practice
Features: In Focus
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Strong, Gary
interactions
1995
v.2
n.1
p.69-81
© Copyright 1995 Association for Computing Machinery
Summary: The author identifies HCI as the main gating function to the successful use
of future technologies.
[3]
New Directions in HCI Education and Research
SPECIAL INTEREST GROUPS (SIGs)
/
Strong, Gary W.
Proceedings of ACM CHI'94 Conference on Human Factors in Computing Systems
1994-04-24
v.2
p.339
Keywords: HCI education, HCI research, Funding
© Copyright 1994 Association for Computing Machinery
Summary: A workshop entitled "New Directions in Human-Computer Interaction Education
and Research" was conducted during February 5th and 6th in Washington DC. It
was sponsored by the Interactive Systems Program and the Applications of
Advanced Technology Program of the National Science Foundation and by the
Software and Intelligent Systems Technology Office of the Advanced Research
Projects Agency. The purpose was to identify a relationship between HCI
research and HCI education and to make recommendations on how to improve the
quality of HCI education. A draft of the report from this workshop on "New
Directions in HCI Education and Research" will be presented and opened to
discussion by interested parties.
[4]
Meeting Federal Accessibility/Disability Requirements in Interface Design
SPECIAL INTEREST GROUPS (SIGs)
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Strong, Gary W.
Proceedings of ACM CHI'94 Conference on Human Factors in Computing Systems
1994-04-24
v.2
p.347
Keywords: Accessibility, Disabilities, Americans with Disabilities Act, Federal
regulations, Social inclusion, Information highway
© Copyright 1994 Association for Computing Machinery
Summary: IFIP Working Group 13.3, "Human Computer Interaction and People with
Disabilities" was formed in 1993 and announces itself with this SIG session
devoted to US regulations and interface design. The Americans with
Disabilities Act and recent Federal Acquisition Regulations have alerted
software developers to the need to accommodate people with disabilities in the
design of interfaces. Efforts that have been made will be discussed and
assistance will be provided to help those needing to make accommodations to get
started.
[5]
The Relationship Between Task Structure and Choice of Navigational Aid in
Human Computer Interface Design
IV. User Issues
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Lipner, Rebecca S.
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Strong, Gary W.
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Strong, Karen E. O.
Proceedings of the Fifth International Conference on Human-Computer
Interaction
1993-08-08
v.1
p.522-527
© Copyright 1993 Elsevier Science Publishers
Summary: An experiment, using 163 subjects, investigated the extent to which visual
momentum is supported by four computer task and navigational aid combinations.
Results demonstrated a task-dependent interference effect for learning a
cognitive map of the display network. Subjects who concentrated on method
rather than outcome were impaired in learning the organization of the display
network. This finding suggests that outcome-based tasks seem to allow the user
to explore the display network and learn its organization whereas method-based
tasks require attention-diverting serial visual searching for objects on a
display. When a map of the display network was provided as a navigational aid,
performance was improved regardless of whether the task was method-based or
outcome-based. However, results showed some evidence that method-based tasks
require more spatial inferencing than do outcome-based tasks even when a map is
present. These findings suggest some guidelines for the design of
human-computer interfaces.
[6]
REPORT
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Hewett, Thomas T.
/
Baecker, Ronald
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Card, Stuart
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Carey, Tom
/
Gasen, Jean
/
Mantei, Marilyn
/
Perlman, Gary
/
Strong, Gary
/
Verplank, William
/
ACM SIGCHI Curriculum Development Group
ACM SIGCHI Curricula for Human Computer Interaction
1992
p.162 + iii
New York
ACM
Keywords: Education, Course development, Teaching
This publication is a report of the ACM Special Interest Group on
Computer-Human Interaction (SIGCHI) Curriculum Development Group.
1 Introduction
2 Human-Computer Interaction
3 Courses in HCI
4 HCI Curriculum Designs
5 Issues Raised by Our Recommendations
A Resources for Human-Computer Interaction
B An Information Systems Curriculum in Human-Computer Interaction
C A Computer Science Undergraduate Specialization in Human-Computer Interaction
D An Interdisciplinary Undergraduate Specialization in Human-Computer Interaction
E Example Course taught in HCI
F Case Studies in Human-Computer Interaction
Summary: Definition from part 2: Human-Computer Interaction (HCI) is a discipline
concerned with the design, evaluation and implementation of interactive
computing systems for human use and with the study of major phenomena
surrounding them.
[7]
INTERNET
ACM SIGCHI Curricula for Human-Computer Interaction
/
Hewett, Thomas T.
/
Baecker, Ronald
/
Card, Stuart
/
Carey, Tom
/
Gasen, Jean
/
Mantei, Marilyn
/
Perlman, Gary
/
Strong, Gary
/
Verplank, William
1992
Preface
Chapter 1: Introduction
Chapter 2: Human-Computer Interaction
Chapter 3: Courses in HCI
Chapter 4: HCI Curriculum Designs
Chapter 5: Issues Raised by Our Recommendations
References
Appendix A: Resources for Human-Computer Interaction
Appendix B: An Information Systems Curriculum in Human-Computer Interaction
Appendix C: A Computer Science Undergraduate Specialization in Human-Computer Interaction (User-centered System and Interface Design)
Appendix D: An Interdisciplinary Undergraduate Specialization in Human-Computer Interaction
Appendix E: Example Course Taught in HCI
Appendix F: Case Studies in Human-Computer Interaction
Summary: Curricular recommendations from the SIGCHI Curriculum Development Group.
Includes a definition and overview of HCI (chapter 2).
Summary: Definition from chapter 2: Human-Computer Interaction (HCI) is a discipline
concerned with the design, evaluation and implementation of interactive
computing systems for human use and with the study of major phenomena
surrounding them.
[8]
Visual Guidance for Information Navigation: A Computer-Human Interface
Design Principle Derived from Cognitive Neuroscience
Articles
/
Strong, Gary W.
/
Strong, Karen E. O'Neill
Interacting with Computers
1991
v.3
n.2
p.217-231
Keywords: Human-computer interaction, Interface design, Spatial indexing
© Copyright 1991 Butterworth-Heinemann Ltd.
Summary: Cognitive neuroscience describes the important function of the 'where'
cortical processing system in directing attention to locations in space at
which the 'what' cortical processing system identifies information. Spatial
information detected by the 'where' system therefore indexes content
information. Studies have shown that such spatial indexing can occur in recall
as well as in the direction of perception within a stimulus array. Application
of spatial indexing, as understood in cognitive neuroscience, to the design of
computer interfaces would more closely couple computer applications to human
information processing capabilities. A principle of computer-human interface
design is offered which takes spatial indexing into account at both the screen
and application levels. The principle states that designers should communicate
via a spatial code in the range of possible behaviours available from each
location within the application. In other words, the designer must define an
information space and present it to users from each location-relative point of
view as they navigate through the space rather than from an absolute,
location-independent point of view as if they are looking down from above. The
goal of this paper is to get computer-human interface designers to recognize
that people are actually highly skilled navigators within three-dimensional
space and that interfaces would improve if designers would take such skills
into account.
[9]
Introductory Course in Human-Computer Interaction
/
Strong, Gary W.
ACM SIGCHI Bulletin
1989
v.20
n.3
p.19-21
