Title: Folie 1
11st Usability Symposium HCIUE Workgroup -
Austrian Computer Society November 8, 2005
Highlighting -Or Why Google Is That
Successful Michael D. Kickmeier-Rust, Dietrich
AlbertCognitive Science Section, Department of
PsychologyUniversity of Graz, Austria
2Human Vision
- Basics of human vision are a major foundation
for HCI research, development, and usability
engineering - Visual interactions (searching / scanning /
reading / ) are likely the most common tasks
in HCI
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3Human Vision
- Legibility (e.g., font size)
- Brightness / Contrast / Saliency
- Color
- Motion
- Size
- Structure of information
- Amount / density of information
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4Main Questions
- Can information (text, menus, toolbars, ) be
displayed in a way that speed, accuracy, and
user satisfaction of visual search processes
is as high as possible even without knowing
what someone is searching for? - Can visual
interaction processes be optimized?
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5Main Questions
Origin Why was the Google design so much better
than other designs? Answer Highlighting?!?
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6Highlighting
- Highlighting is a well-tried and popular method
to enhance search speed and search accuracy - It exists a large number of previous research
regarding the effects of highlighting and
highlighting techniques (Philipsen, 1993,
1994) Tullis, 1988 Van Orden, 1993) - Often discussed in terms of highlighting
validity (Fisher, Coury, Tangs, Duffy, 1989
Fisher Tan, 1989) - Highlighting validity vs. highlighting density
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7Mechanisms of Human Vision
- Pre-attentive stages of vision
-
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8Mechanisms of Human Vision
- Attentive stages of vision
-
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9Mechanisms of Human Vision
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10Mechanisms of Human Vision
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11Empirical Research
- The current presentation focuses on a small part
of one of a row of experiments - Highlighting density the percentage of
highlighted items in the visual field
- Other variables
- Distance / distribution
- Density within a given distance
- Stimulus style (nouns, pictorial stimuli)
- Measures
- Response times
- Accuracy ( of correct responses)
- Fixation duration
- Fixation location
- Saccade length
- Saccade direction
- Comments / questions regarding satisfaction
and convenience
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12Hypotheses
- Pre-attentive activation maps on the basis of
the distribution of highlighted items - Serial deployment of saccades along a
reading-like scan path - Fixations primarily on the basis of highlighted
items - Target detection on the basis of foveal and
para-foveal / peripheral perception - ? Search performance and user satisfaction
should be highest, when an optimal density
of highlighted items is presented
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13Empirical Research
- Complete experimental design (2x3x3x3)
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14Eye-tracking
- SMI Eyelink I eye-tracker (SensoMotoric
Instruments GmbH Germany www.smi.de) - Head mounted infrared camera system
- 250 Hz sampling rate
- 21 subject monitor
- Chin rest 58cm in front of the screen (not
displayed on the photo)
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15Results
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16Results
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17Results
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18Row-wise (1)
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69Random
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79Results
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80Results
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81Conclusion
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