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A Theoretical Design for University Department Web Pages Based on a Task Analysis

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Pennsylvania State University. IST SURF ... (Number two: 'webmail') Open interviews of users ... IST at Penn State. Psychology at Penn State. EE at Penn State ... – PowerPoint PPT presentation

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Title: A Theoretical Design for University Department Web Pages Based on a Task Analysis


1
A Theoretical Design for University Department
Web Pages Based on a Task Analysis
  • Andrew R. Freed
  • Computer Science and Engineering
  • Pennsylvania State University
  • IST SURF Presentation
  • July 3, 2002

2
A Theoretical Design for University Department
Web Pages Based on a Task Analysis
  • Why do we need a design for department web pages?
  • Book design evolved for a long time before it was
    easy to use and complete, the Web will be no
    different
  • A similar process is needed for the Web

3
A Theoretical Design for University Department
Web Pages Based on a Task Analysis
  • The increasing role of the Web on dissemination
    of information for university departments
  • Task analysis for department websites
  • Comparison of tasks with existing department
    websites
  • Areas for future work
  • After the website is built

4
The increasing role of the Web on dissemination
of information for university departments
  • Internet 450 million global users
    (Nielsen//Netratings)
  • ist.psu.edu 120,000 unique visitors during 2001
  • Lots of users, looking for lots of information
  • -- but what information are they looking for?

5
What is a task analysis?
  • A family of techniques for describing various
    aspects of how people work
  • Why? Gain a deeper understanding of the goals
    people are trying to achieve
  • Answers the question, Does the design support
    the task?

6
Approaches for building a task analysis
  • Know your users!
  • Consider all tools user has to solve goals
  • Determine procedures of user from collected data
  • Generate list of tasks that the users have

7
Task analysis for department websites
  • Analysis of existing sites
  • Analysis of hardcopy materials
  • Analysis of search queries
  • Open interviews of users
  • Summary of tasks

8
Analysis of existing sites
  • Looked at websites from our departments (IST, EE)
  • Generated initial list of tasks

9
Analysis of hardcopy materials
  • IST prospective student blue packet and
    Computer Science graduate brochure
  • Generate new list of tasks
  • Merge this list of tasks with the list from the
    existing websites

10
Analysis of search queries
  • Looked at Spring 2002 search logs from psu.edu
  • Over 1 million queries
  • Sorted logs based on most common queries
  • Extracted certain types of queries department or
    registrar-related
  • Compare to current list of tasks and add new tasks

11
Analysis of search queries
  • The number one query is.
  • (Number two webmail)

12
Open interviews of users
  • Interviewed current/prospective students,
    parents, alumni, faculty
  • Showed them list of tasks and asked for
    additional tasks
  • Added new tasks to task list

13
Final summary of tasks
  • Came up with 100 tasks
  • Organized into 13 categories
  • This is a good starting point for informational
    design
  • Point of note High overlap between
    hardcopy/website, hardcopy materials included
    website printouts

14
Comparison of tasks with existing department
websites
  • Methodology
  • Sites examined
  • Summary of conclusions

15
Checking analysis against websites
  • Took list of tasks and added five yes/no columns
  • Visited these five sites to see if each task was
    easily supported
  • Also looked for new tasks

16
Sites examined
  • IST at Penn State
  • Psychology at Penn State
  • EE at Penn State
  • EE at University of Illinois, Urbana-Champagne
  • Rutgers Business School

17
Summary of comparisons
  • Wide variety of supported tasks
  • Highest 87 (IST)
  • Lowest 51 (PSU Psych, Rutgers)
  • Seven new tasks found
  • Rankings, summary of reasons to come,
    applications, job openings, minors, student
    resumes, merchandise

18
Areas for future work
  • Evolution of this task analysis
  • Using cognitive models or AI agents to check a
    website against a list of tasks

19
After the website is built
  • Search engines
  • Beyond search engines
  • Maintenance
  • Useful website features

20
Conclusions
  • Task analysis necessary to determine what
    information users need
  • Collect data through direct and indirect
    interaction with users, review of information
    available to them
  • Lots of improvement possible for many department
    websites

21
Thank you!
  • Any questions?
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