Evolving Search User Interfaces euroHCIR Workshop 2013 euroHCIR - - PowerPoint PPT Presentation

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Evolving Search User Interfaces euroHCIR Workshop 2013 euroHCIR - - PowerPoint PPT Presentation

Data & Knowledge Engineering Group Evolving Search User Interfaces euroHCIR Workshop 2013 euroHCIR Workshop 2013 Tatiana Gossen, Marcus Nitsche, Andreas Nrnberger http://www.dke.ovgu.de/ Motivation When designing search user


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Data & Knowledge Engineering Group

Evolving Search User Interfaces

euroHCIR Workshop 2013 euroHCIR Workshop 2013 Tatiana Gossen, Marcus Nitsche, Andreas Nürnberger

http://www.dke.ovgu.de/

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Motivation

  • When designing search user interfaces (SUIs), there

is a need to target specific user groups

  • differ in information needs
  • differ in search goals
  • differ in cognitive abilities
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Motivation

Challenge:

  • Especially young and elderly users undergo fast

changes in

  • cognitive,
  • fine motor,
  • and other abilities
  • Design requirements change rapidly as well and a

flexible modification of SUI is needed Solution:

  • Evolving search user interface (ESUI)
  • adapts to individual user’s characteristics
  • allows for changes in properties of UI elements
  • influences the UI elements and their positioning
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ESUI Vision

Figure 1: Model of an ESUI.

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Mapping Function

cognitive abilities information processing rates fine motor skills perception emotional maturity reading skills writing skills domain knowledge search input menu type menu categories menu structure results visualization number of results surrogate structure result page view font audio metaphor

F: U → I

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Design Ideas

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nine-year-old Jenny six-year-old Jenny fourteen-year-old Jenny

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User Study

Hypothesis:

  • Users from different age groups would prefer to use different UI

elements and different general UI properties

Design:

  • Users from different age groups
  • Preferences for results visualization
  • vertical list of snippets
  • tiles
  • coverflow

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User Study

Procedure: First results:

  • 44 subjects participated:
  • 27 children (8.9 on average)
  • 17 adults (29.2 on average)

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Figure 2: Study results: what type of visualization do children and adults prefer.

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Open Questions

  • Mapping function
  • user studies about users’ search behavior and SUI design

preferences

  • Adaptive or adaptable SUI
  • how to adapt
  • a SUI in a way users would accept the changes
  • Detection of user abilities
  • age of a registered and logged-in user
  • psychological tests covered in form of games
  • log files, in specific, issued queries (their topic and specific

spelling errors) and accessed documents

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Q & A

Thank you for your attention!