card sorting for information architecture: usage areas, methods and samples iatagung frankfurt ::...
TRANSCRIPT
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Card Sorting for Information Architecture
Usage Areas, Methods and Samples
Steffen Schilb ([email protected])
Outline
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
1.Introduction2.Card Sorting: The Standard Method3.Cluster Analysis4.Computer-Based Card Sorting5.Card Sorting Variants6.Conclusion7.References8.Questions and Discussion
Introduction
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
1Introduction
Introduction: Why do People browse the Internet?
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Introduction: Why do People browse the Internet?
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Typical User Behaviour (Wodtke, 2003)
• Search for specific Information
• Complete a Task
• Browsing around
ProblemInformation cannot be found
Introduction:Why does this happen?
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Hierarchy, Navigation Scheme
No intuitive Navigation Scheme, Hierarchy
People expect Content somewhere else
Introduction:Why does this happen?
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Misunderstood Wording
Inconsistent Terms
English Vs. German
Ambiguous Terms
Introduction
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
How can this be improved?
Introduction: How can this be improved?
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
With Card Sorting
• Users group the Contents and develop a Hierarchy themselves
• Helps to understand how Users group Information
• Can provide insight into mental Model
• Serves as helpful Input to specify IA
Introduction
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Benfits of Card Sorting
• Simple, Cheap, Quick
• Established
• Involves Users
• Flexible
• Provides good Results
Introduction
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Usage Areas
• Designing a new Site
• Designing a new Area of a Site
• Redesigning a Site
• Early Stages of Prototyping
• Large Websites
Card Sorting: The Standard Method
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
2Card Sorting:The Standard Method
Card Sorting: The Standard Method
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Preparation
Card Sorting: The Standard Method
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Preparation
• Write down the Topics
• Write each Content on a Card
• Size of Cards should be manageable
• Number of Cards should be manageable (30-100)
• Label is extremely important
Card Sorting: Preparation
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Same Level of Detail Politics
Album Charts
Card Sorting: Preparation
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Cover one distinguished Content
Tennis
Icehockey
Card Sorting: Preparation
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Describe the Content in a unambiguous Way
Inspiration
Opening Hours
Card Sorting: Preparation
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Before the Exercise starts...
• Define Test Conditions (Single, Group,...)
• Select Participants
• Invite Participants
Card Sorting: Conducting the Exercise
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Conducting the Exercise
Card Sorting: Conducting the Exercise
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Procedure
• Welcome Participants
• Introduce Card Sorting Method
• Give Instructions• Sorting out Cards• Sorting into multiple Categories
Card Sorting: Conducting the Exercise
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Step 1: Sorting the Cards
Card Sorting: Conducting the Exercise
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Step 2: Finalizing the Sorting
Card Sorting: Conducting the Exercise
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Step 3: Labeling the Clusters
Card Sorting: Closed Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Variant: Closed Card Sorting
• Categories are predefined
• Top-down Approach
• Redesign/Relaunch of Websites
Card Sorting: Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
(Manual) Analysis
Card Sorting: Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Analysis Methods
• Documention
• „Data-Eyeballing“
• Spreadsheet Analysis
• (Clusteranalysis)
Card Sorting: Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Data-Eyeballing
• Look for dominant Organization Schemes (Patterns)
• Adjust Scheme to make kinds of Categories consistent
• Set asside the odd Categories that don‘t match
Card Sorting: Data-Eyeballing
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Result: Simple TaxonomySport
Fussball1. Bundesliga2. Bundesliga...
TennisWeltranglisteATP-Turniere...
BasketballNBA...
PolitikAktuelles
Aus aller WeltDeutschland...
InnenpolitikNews...
AußenpolitikEuropa...
WirtschaftDeutschland
News...
WeltweitNews...
BörseNewsDAXDow-Jones...
Card Sorting: Data-Eyeballing
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Attributes of Data-Eyeballing
• Efficient
• Easy and fast
But:
• Highly subjective
Card Sorting: Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Spreadsheet Analysis
Card Sorting: Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Spreadsheet Analysis
• More information can be found atBoxes and Arrows: Analyzing Card Sort Results with a Spreadsheet Template
Cluster Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
3Cluster Analysis
Cluster Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Cluster Analysis
• Statistical Analysis Method for identifying Groups
• Most common Analysis Method
• Mostly done with Computer
• Procedure:• Step 1: Distance Matrix• Step 2: Tree Diagram
Cluster Analysis
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Distance Matrix
Cluster Analysis: Distance Matrix
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
ExampleParticipant 1
ProjekteAG‘sAktuelle Projekte
StudentischesFachbereicheInsitute
CampusLageplanAnreise
Participant 2Aktivitäten
AG‘sAktuelle Projekte
StudiumFachbereicheInstitute
Allgemeine InfosLageplanAnreise
Participant 3Aktivitäten
AG‘s
StudiumFachbereicheAktuelle ProjekteInstitute
InformationenLageplanAnreise
Cluster Analysis: Distance Matrix
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Distance Matrix P1AG‘s
Aktuelle Projekte
Fach-bereiche
Institute Lageplan Anreise
AG‘s 1.00 0.00 1.00 1.00 1.00 1.00
Aktuelle Projekte 0.00 1.00 1.00 1.00 1.00 1.00
Fach-bereiche 1.00 1.00 1.00 0.00 1.00 1.00
Insitute 1.00 1.00 0.00 1.00 1.00 1.00
Lageplan 1.00 1.00 1.00 1.00 1.00 0.00
Anreise 1.00 1.00 1.00 1.00 0.00 1.00
Cluster Analysis: Distance Matrix
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Distance Matrix P1AG‘s
Aktuelle Projekte
Fach-bereiche
Institute Lageplan Anreise
AG‘s 1.00 0.00 1.00 1.00 1.00 1.00
Aktuelle Projekte 0.00 1.00 1.00 1.00 1.00 1.00
Fach-bereiche 1.00 1.00 1.00 0.00 1.00 1.00
Insitute 1.00 1.00 0.00 1.00 1.00 1.00
Lageplan 1.00 1.00 1.00 1.00 1.00 0.00
Anreise 1.00 1.00 1.00 1.00 0.00 1.00
Cluster Analysis: Distance Matrix
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Distance Matrix P1 + P2AG‘s
Aktuelle Projekte
Fach-bereiche
Institute Lageplan Anreise
AG‘s 1.00 0.00 1.00 1.00 1.00 1.00
Aktuelle Projekte 0.00 1.00 1.00 1.00 1.00 1.00
Fach-bereiche 1.00 1.00 1.00 0.00 1.00 1.00
Insitute 1.00 1.00 0.00 1.00 1.00 1.00
Lageplan 1.00 1.00 1.00 1.00 1.00 0.00
Anreise 1.00 1.00 1.00 1.00 0.00 1.00
Cluster Analysis: Distance Matrix
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
ExampleParticipant 1
ProjekteAG‘sAktuelle Projekte
StudentischesFachbereicheInsitute
CampusLageplanAnreise
Participant 2Aktivitäten
AG‘sAktuelle Projekte
StudiumFachbereicheInstitute
Allgemeine InfosLageplanAnreise
Participant 3Aktivitäten
AG‘s
StudiumFachbereicheAktuelle ProjekteInstitute
InformationenLageplanAnreise
Cluster Analysis: Distance Matrix
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Distance Matrix (P1+P2)+P3AG‘s
Aktuelle Projekte
Fach-bereiche
Institute Lageplan Anreise
AG‘s 1.00 0.33 1.00 1.00 1.00 1.00
Aktuelle Projekte 0.33 1.00 0.67 0.67 1.00 1.00
Fach-bereiche 1.00 0.67 1.00 0.00 1.00 1.00
Insitute 1.00 0.67 0.00 1.00 1.00 1.00
Lageplan 1.00 1.00 1.00 1.00 1.00 0.00
Anreise 1.00 1.00 1.00 1.00 0.00 1.00
Cluster Analysis: Distance Matrix
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
How to calculate
∑KF(AF/BF) =
Kt(At/Bt)
Tt=1
T
K: Relative CoordinateA: Relative X-CoordinateB: Relative Y-CoordinateF: Final MatrixT: Number of Participants
t: Participant
Cluster Analysis: Distance Matrix
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
From Distance Matrix to Tree Diagrams
• Single Linkage Algorithm
• Complete Linkage Algorithm
• Average Linkage Algorithm
Cluster Analysis: Single Linkage Algorithm
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Distance Matrix
AG‘s ASTAAktuelle Projekte
Alumni
AG‘s 1.00 0.69 0.42 0.83
ASTA 0.69 1.00 0.92 0.81
Aktuelle Projekte 0.42 0.92 1.00 0.86
Alumni 0.83 0.81 0.86 1.00
Cluster Analysis: Single Linkage Algorithm
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
How it works
• Pair (Aktuelle Projekte/AG‘s) is most frequently grouped together (58%)
• Combine Pair to one Cluster and calculate new Distances
• d(E; CE1 + CE2) = min{d(E;CE1), d(E;CE2)}
• d(ASTA; AG‘s + Aktuelle Projekte) = min{d(ASTA;AG‘s), d(ASTA; Aktuelle Projekte)} = min{0.69, 0.92}= 0.69
Cluster Analysis: Single Linkage Algorithm
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
New Distance MatrixAG‘s+
Aktuelle Projekte
ASTA Alumni
AG‘s+Aktuelle Projekte
1.00 0.69 0.83
ASTA 0.69 1.00 0.81
Aktuelle Projekte 0.83 0.81 1.00
Cluster Analysis: Single Linkage Algorithm
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Steps
1. AG‘s+Aktuelle Projekte 0.42
2. (AG‘s+Aktuelle Projekte)+ASTA 0.69
3. ((AG‘s+Aktuelle Projekte)+ASTA)+Alumni 0.81
Cluster Analysis: Single Linkage Algorithm
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Final DendogramAG‘s
AktuelleProjekte
ASTA
Alumni
0.00 0.50 1.00
0.42 0.69 0.81
Cluster Analysis: Single Linkage Algorithm
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Attributes
• min{0.69;0.92}=0.69
• Nearest-Neighboor-Method
• Minimum-Distance Rule
• Chaining Phenomenon
• Isolates Outliners (Most important Attribute)
Cluster Analysis: Complete Linkage Algorithm
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Attributes
• max{0.69;0.92}=0.92
• Furthest-Neighboor-Method
• A lot of small Groups are formed
• Large groups are mostly formed at the End
• Does not identify Outliners well
Cluster Analysis: Average Linkage Algorithm
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Attributes
• 0,5x(0.69) + 0,5x(0.92) = 0.80
• Takes mean Distance
• No Chaining Phenonemon
Computer-Based Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
4Computer-BasedCard Sorting
Computer-Based Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Some Tools
• EZSort
• CardSort
Computer-Based Card Sorting: EZSort
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
EZSort
Computer-Based Card Sorting: EZSort
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Features
• Most common Card Sorting Tool
• Developed by IBM in 1998
• USort for Sorting the Cards (Open Card Sort)
• EZCalc for Clusteranalysis
• Windows-only
Computer-Based Card Sorting: CardSort
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
CardSort
Computer-Based Card Sorting: CardSort
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Features
• Developed in 2003
• www.cardsort.net
• Allows only Card Sorting (open and closed)
• Analysis with EZCalc
• Cross-plattform
Computer-Based Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Other Tools
• CardZorthttp://condor.depaul.edu/~jtoro/cardzort/
• CardSwordhttp://cardsword.sourceforge.net/
• WebSorthttp://www.websort.net/
Card Sorting Variants
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
5Card SortingVariants
Card Sorting Variants
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Card Sorting Variants
• Card Sorting with Subgroups
• Labeling the Contents
• Rating the Contents
Card Sorting Variants: Card Sorting with Subgroups
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Card Sorting with Subgroups
Card Sorting Variants: Card Sorting with Subgroups
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Attributes
• Adding an additional Sorting Step
• First: Forming Clusters (Subgroups)
• Second: Forming Major Clusters
• Third: Labeling the (Major) Clusters
Card Sorting Variants: Labeling the Contents
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Labeling the Contents
Card Sorting Variants: Labeling the Contents
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Labeling the Contents
• Cards represent Content Descriptions
• Users label the Contents
On this page, students register online for their courses.
Card Sorting Variants: Rating the Contents
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Rating the ContentsGerry McGovern (2002)
Card Sorting Variants: Rating the Contents
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Begriff 20
Step 1
Step 2
Begriff 14
Begriff 7
Begriff 4
Begriff 23
Begriff 6
Begriff 24
Begriff 16
Begriff 1
Begriff 2
Begriff 1Begriff 3
Begriff 5
Begriff 8
Begriff 9
Begriff 10
Begriff 11
Begriff 13
Begriff 15
Begriff 17
Begriff 1Begriff 18
Begriff 21
Begriff 22
Begriff 25
Begriff 26
Begriff 4
Begriff 6
Begriff 7
Begriff 14
Begriff 16
Begriff 19
Begriff 20
Begriff 23
Begriff 24
Conclusion
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
6Conclusion
Conclusion
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Summary
• Card Sorting is an easy and cheap Method to get an Insight into the users‘ mental Model
• Many different Variants
• Not a silver Bullet
• Generates Suggestions for Navigation, Hierarchy, Wording
Conclusion
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Summary
• Can be done paper-based or computer-based
• Computer-based Method is better for Analysis-> Clusteranalysis
• Manual Method is easier for Users to handle
Conclusion
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Keep in Mind
• Only for large Websites
• Users‘ Tasks are not integrated
• May capture “Surface” Characteristics only
References
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
7References
References
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Links, Books, Articles
• IAWiki Card Sortinghttp://www.iawiki.net/CardSorting
• Boxes and Arrowshttp://www.boxesandarrows.com
• James Robertsonhttp://www.steptwo.au
• Donna Maurerhttp://www.maadmob.net/donna/
Card Sorting Variants: Card-Based Classification Evaluation
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Thank you!
Computer-Based Card Sorting
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
8Questions and Discussion
Card Sorting Variants: Card-Based Classification Evaluation
Card Sorting for Information Architecture: Usage Areas, Methods and Samples
IATagung Frankfurt :: 28./29.05.2005 :: Steffen Schilb
Further Questions?Contact me!