project presentation: usability optimization based on log

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Project Pre Usability Optim on Log File Ana on Log File Ana Monit IWIST-KISTI-Work Prof. Dr. Thomas Mandl, K Prof. Dr. Thomas Mandl, K esentation: mization based alysis and Web alysis and Web toring kshop 06.11.2013 Katrin Werner, Marc Ahrens Katrin Werner, Marc Ahrens

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Page 1: Project Presentation: Usability Optimization based on Log

Project Presentation:Usability Optimization based on Log File Analysis and Web on Log File Analysis and Web

Monitoring

IWIST-KISTI-Workshop 06.11.2013

Prof. Dr. Thomas Mandl, Katrin Werner,Prof. Dr. Thomas Mandl, Katrin Werner,

Project Presentation:Usability Optimization based on Log File Analysis and Web on Log File Analysis and Web

Monitoring

Workshop 06.11.2013

Prof. Dr. Thomas Mandl, Katrin Werner, Marc AhrensProf. Dr. Thomas Mandl, Katrin Werner, Marc Ahrens

Page 2: Project Presentation: Usability Optimization based on Log

Outline

Motivation

Related Work

ApproachApproach

Page 3: Project Presentation: Usability Optimization based on Log

Log file analysis

Get to know your customers

analysis

Get to know your customers

Source: avewrko.com

Page 4: Project Presentation: Usability Optimization based on Log

Motivation: Current

Why do we need to analyze log files?

• More and more consumers use the internet as their primary source of decision making

• Companies not optimizing their internet presence will face a competitive disadvantage

• Usability testing cannot be afforded by many SME• Usability testing cannot be afforded by many SME

• Log files are a comparatively cheap and easy way to obtain large amounts of usability data

• Log files contain vital information about the web site visitor actions

Current situation

Why do we need to analyze log files?

More and more consumers use the internet as their primary source of decision making

Companies not optimizing their internet presence will face a competitive disadvantage

Usability testing cannot be afforded by many SMEUsability testing cannot be afforded by many SME

Log files are a comparatively cheap and easy way to obtain large amounts of usability data

Log files contain vital information about the web site

Page 5: Project Presentation: Usability Optimization based on Log

Project overviewUsability Optimizationand Web Monitoring

• Duration: 1/2013 until 6/2013

• Funding: European Fond for Regional Development (EFRE), funding line 2.10 demand, feasibility and project studies

and Web Monitoring

project studies

• Idea: Use web analytics to identify usability problems by taking into account the hierarchical structure of a website

overview: ULoFAOptimization based on Log File Analysis

Duration: 1/2013 until 6/2013

Funding: European Fond for Regional Development (EFRE), funding line 2.10 demand, feasibility and

Idea: Use web analytics to identify usability problems by taking into account the hierarchical structure of a website

Page 6: Project Presentation: Usability Optimization based on Log

Project goals

• Investigate the navigational behavior of website users by means of web analytics users by means of web analytics

• Discover navigational patterns that suggest usability problems (e.g. disorientation on a website)

• Develop a new pluginthis navigational behavior in order to detect such this navigational behavior in order to detect such usability problems

• Improve the competitive advantages of SME

Investigate the navigational behavior of website users by means of web analytics users by means of web analytics

Discover navigational patterns that suggest usability problems (e.g. disorientation on a

plugin for Piwik which visualizes this navigational behavior in order to detect such this navigational behavior in order to detect such

Improve the competitive advantages of SME

Page 7: Project Presentation: Usability Optimization based on Log

Related work: Log

Investigating the behavior of search engine users

• White & Drucker (2007)

• Within-browser interaction logs of 3291 participants collected over a period of 5 month

• Focus on variability in users behavior within search-related activities on the Web

• Lamm, Mandl & Kölle

• Interaction logs from the European Library (TEL) Website collected over a period of 18 month

• Focus on evaluation of userrespect to search success

: Log-based studies

Investigating the behavior of search engine users

(2007)

browser interaction logs of 3291 participants collected over a period of 5 month

Focus on variability in users behavior within related activities on the Web

Kölle (2009)

Interaction logs from the European Library (TEL) Website collected over a period of 18 month

Focus on evaluation of user-sessions with respect to search success

Page 8: Project Presentation: Usability Optimization based on Log

Visualization of search

White & Drucker (2007)

search trails

(2007) Lamm et al. (2009)

Page 9: Project Presentation: Usability Optimization based on Log

ULoFA-Approach

Website hierarchy:

topicpage

1

contentpage1a

contentpage1b

contentpage

Approach

topicpage

3

website

topicpage

2

contentpage3a

contentpage3b

contentpage2a

contentpage2b

Page 10: Project Presentation: Usability Optimization based on Log

ULoFA-Approach

• Use additional information to enhance predictive power of log file analysis

• In our case: Structure of website

• Link between log files and structure of page

• Easy integration into existing architecture:

Approach

Use additional information to enhance predictive power of log file analysis

In our case: Structure of website

Link between log files and structure of page

Easy integration into existing architecture: Piwik

Page 11: Project Presentation: Usability Optimization based on Log

Piwik

• Open Source (GPL licensed) web analytics software

• Tracks standard statistics of users: referrer keywords, user actions

• Real-time tracking of user behavior

• Easy integration into website via for CMS and E-commerce systemsfor CMS and E-commerce systems

• Plugin system and customizable Dashboard

Open Source (GPL licensed) web analytics software

Tracks standard statistics of users: referrer url, keywords, user actions

time tracking of user behavior

Easy integration into website via php-API or pluginscommerce systemscommerce systems

system and customizable Dashboard

Page 12: Project Presentation: Usability Optimization based on Log

Piwik

Source: piwik.org

Page 13: Project Presentation: Usability Optimization based on Log

Realisation

Two components setup:

1. Hierarchy crawler: • Analyses structure of website• Platform independent (Java)

2. Piwik-plugin: • Links hierarchy data with log files• Deals also with existing log file data• Different analysis functions

Two components setup:

Analyses structure of websitePlatform independent (Java)

Links hierarchy data with log filesDeals also with existing log file dataDifferent analysis functions

Ahrens (2013)

Page 14: Project Presentation: Usability Optimization based on Log

Realisation

Ahrens (2013)

Page 15: Project Presentation: Usability Optimization based on Log

Realisation

Ahrens (2013)

Page 16: Project Presentation: Usability Optimization based on Log

Outlook

• Start additional cooperations

• Extend applicability of Hierarchydynamical websites

• Identify patterns that indicate specific usability problemsproblems

cooperations with SMEs

Extend applicability of Hierarchy-Crawler to

Identify patterns that indicate specific usability

Page 17: Project Presentation: Usability Optimization based on Log

Thank you for your attention!

Page 18: Project Presentation: Usability Optimization based on Log

References

Ahrens, Marc (2013): Visualisierung für Webanalytik: Entwicklung einer Komponente für die hierarchische Analyse des Navigationsverhaltens im Open-Source-System „Piwik

Lamm, Katrin; Mandl, Thomas; Visualization and Session Performance Evaluation with Log Files. In: Multilingual Information Access Evaluation I: Text Retrie-val Experiments: Proceedings of the10th Work-shop of the CrossProceedings of the10th Work-shop of the CrossForum (CLEF 2009), Berlin: Springer

White, Ryen W.; Drucker, Steven M. (2007): Investigating behavioral variability in web search. In : Proceedings of the 16th international conference on World Wide Web (WWW ’07), New York: ACM, pp. 21

Visualisierung für Webanalytik: Entwicklung einer Komponente für die hierarchische Analyse des Navigationsverhaltens

Piwik“, MA-Arbeit, Universität Hildesheim

, Thomas; Kölle, Ralph (2010): Search Path Visualization and Session Performance Evaluation with Log Files. In: Multilingual Information Access Evaluation I: Text Retrie-val Experiments: Proceedings of the10th Work-shop of the Cross-Language Evaluation Proceedings of the10th Work-shop of the Cross-Language Evaluation Forum (CLEF 2009), Berlin: Springer

, Steven M. (2007): Investigating behavioral variability in web search. In : Proceedings of the 16th international conference on World Wide Web (WWW ’07), New York: ACM, pp. 21–30.