Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley.

Slides:



Advertisements
Similar presentations
Information Architecture for the World Wide Web By Steve Cherry and Matt Scheinerman.
Advertisements

Search Systems From Information Architecture Rosenfeld and Morville From Information Architecture Rosenfeld and Morville.
Data Mining and the Web Susan Dumais Microsoft Research KDD97 Panel - Aug 17, 1997.
3.02C Website Organization
Information Architecture for Indexers Presented by Fred Leise American Society of Indexers National Conference Galveston, Texas May 18, 2002 © 2002 ContextualAnalysis.
Taxonomies, Lexicons and Organizing Knowledge Wendi Pohs, IBM Software Group.
SharePoint 2013 Catalog Sites Brian Culver ● SharePoint Saturday DFW ● March 7, 2015 Build a SharePoint 2013 Search Driven.
Empirically Validated Web Page Design Metrics Melody Y. Ivory, Rashmi R. Sinha, Marti A. Hearst UC Berkeley CHI 2001.
Incorporating Metadata into Search User Interfaces Ame ElliottJen English Ping YeeKirsten Swearington UC Berkeley
Usability Information Systems 337 Prof. Harry Plantinga.
Web TANGO Project Melody Ivory (PhD student) Rashmi Sinha (Postdoc) Marti Hearst (Research Advisor) Undergrads - Steve Demby Anthony Lee Dave Lai HCC Retreat.
Incorporating Metadata into Search User Interfaces Marti Hearst UC Berkeley March 2001.
Universal Access: More People. More Situations Content or Graphics Content or Graphics? An Empirical Analysis of Criteria for Award-Winning Websites Rashmi.
Good Websites. 2. Submit one good web interface. This website is a good because of it usability and appears of the website.
Social Tagging and Search Marti Hearst UC Berkeley.
1 Flexible Search and Navigation using Faceted Metadata Prof. Marti Hearst Dr. Rashmi Sinha, Ame Elliott, Jennifer English, Kirsten Swearingen, Ping Yee.
Measuring Information Architecture Marti Hearst UC Berkeley.
Measuring Information Architecture Marti Hearst UC Berkeley.
A metadata-based approach Marti Hearst Associate Professor BT Visit August 18, 2005.
Yahoo Visit Day Joint Reseach Opportunities Marti Hearst UC Berkeley School of Information.
Incorporating Metadata into Search User Interfaces Marti Hearst UC Berkeley.
Using Metadata to Improve Search User Interfaces Marti Hearst UC Berkeley FLINT Workshop, August 2001.
Faceted Metadata for Information Architecture and Search Marti Hearst, SIMS at UC Berkeley Preston Smalley & Corey Chandler, eBay User Experience & Design.
Automating Assessment of Web Site Usability Marti Hearst Melody Ivory Rashmi Sinha University of California, Berkeley.
Day 9 Navigation Heuristic evaluation. Objectives  Look at some simple rules on navigation  Introduction to Heuristic Evaluation.
NEC Symposium 2000 Automating Assessment of Web Site Usability Marti Hearst University of California, Berkeley.
UCB CS Research Fair Search Text Mining Web Site Usability Marti Hearst SIMS.
Measuring Information Architecture Marti Hearst UC Berkeley.
SIMS 213: User Interface Design & Development Marti Hearst Thurs Feb 15, 2001.
Chapter 4 Planning Site Navigation Principles of Web Design, 4 th Edition.
1 Next-Level Discovery Panel Marti Hearst UC Berkeley.
Empirical Foundations for Web Site Usability Marti Hearst Melody Ivory Rashmi Sinha University of California, Berkeley.
1 Flexible Search and Navigation using Faceted Metadata Prof. Marti Hearst University of California, Berkeley Search Engines Meeting, April 2002 Research.
Considering a Faceted Search-based Model Marti Hearst UCB SIMS NAS CSTB DNS Meeting on Internet Navigation and the Domain Name.
Ideas for USA.gov Marti Hearst USA.gov & Web Best Practices Team Meeting July 29, 2009.
Mining the Web for Design Guidelines Marti Hearst, Melody Ivory, Rashmi Sinha UC Berkeley.
SIMS 213: User Interface Design & Development Marti Hearst Thurs, March 14, 2002.
Web Design cs414 spring Announcements Project status due Friday (submit pdf)
Administration Of A Website Information Architecture November 17, 2010.
Information Architecture Donna Maurer Usability Specialist.
Information Architecture Creating well structured, usable sites.
THE BASICS OF THE WEB Davison Web Design. Introduction to the Web Main Ideas The Internet is a worldwide network of hardware. The World Wide Web is part.
STEVE KRUG’S WEB DESIGN PRINCIPLE BY YAOFENG CHEN WELCOME TO THE.
Information Architecture The science of figuring out what you want your Web site to do and then constructing a blueprint before you dive in and put the.
Put it to the Test: Usability Testing of Library Web Sites Nicole Campbell, Washington State University.
Information retrieval wed sept data…. -start at 6.45.
DRUPAL AND INFORMATION ARCHITECTURE MICHAEL WAYNE HARRIS INFORMATION ARCHITECT USER EXPERIENCE & WEB SERVICES.
Heuristic evaluation Functionality: Visual Design: Efficiency:
Usability, the User Experience & Interface Design: The Role of Reference July 30, 2013.
The Development of the Ceramics and Glass website Mia Ridge Museum Systems Team Museum of London.
Definition of a taxonomy “System for naming and organizing things into groups that share similar characteristics” Taxonomy Architectures Applications.
PRINCIPLES OF WEB DESIGN. EDGAR GARCIA – WEB DESIGN 2/8/13.
3.02C Website Organization 3.02 Develop webpages..
Week 4 Planning Site Navigation. 2 Creating Usable Navigation Provide enough location information to let the user answer the following navigation questions:
Date 23 rd Jan Shatin 沙田 Mobile Information Architecture.
Principles of Web Design Da’Zheonna M. Cotton 2/8/13.
Evaluating & Maintaining a Site Domain 6. Conduct Technical Tests Dreamweaver provides many tools to assist in finalizing and testing your website for.
Web Page Concept and Design :
Harvesting Social Knowledge from Folksonomies Harris Wu, Mohammad Zubair, Kurt Maly, Harvesting social knowledge from folksonomies, Proceedings of the.
School of Information, Fall 2007 University of Texas A. Fleming Seay Information Architecture Class Four.
WHY DO YOU NEED IT? What is a wireframe?. A wireframe is… A wireframe is a simple visual guide to show you what a Web page would look like. Wireframes.
Assess usability of a Web site’s information architecture: Approximate people’s information-seeking behavior (Monte Carlo simulation) Output quantitative.
SharePoint Information Architecture
Taxonomies & Classification for Organizing Content
IST 6160 Enthusiastic Studysnaptutorial.com
Taxonomies, Lexicons and Organizing Knowledge
3.02C Website Organization
Web dissemination principles:
Unit 14 Website Design HND in Computing and Systems Development
Incorporating Metadata into Search User Interfaces
Presentation transcript:

Measuring Information Architecture CHI 01 Panel Position Statement Marti Hearst UC Berkeley

A Simple Taxonomy Catalog Sites Collections Web-based Information Systems Web- Presence Sites Service- Oriented Sites low high Complexity of Applications Complexity of Content From Mecca et al., WebDB’99

A View of Information Architecture (Newman & Landay. Dis 2000) Information design –categories of information, labels Navigation design –determine paths through information structure Graphic design –visual presentation of content and navigation Information Architecture

An Important IA Trend Generating web pages from databases Implications: –Web sites can adapt to user actions –Web sites can be instrumented –“An essential feature of a design environment is to give authors the possibility of evaluating the current network against the final adaptive system.” »Petrelli, Baggio, & Pezzulo, Adaptive Hypertext Design Environments: Putting Principles into Practice, AH 2000

One way to measure Analyze properties of existing sites CHI ‘01 paper by Ivory, Sinha, & Hearst –Simple measures of surface properties can fairly accurately predict website ratings. –Have not yet analyzed site-level architecture

Why measure? To learn what works … and what doesn’t To test hypotheses My current interest: –How can an information architecture be designed to successfully convey scent during navigation?

Metadata usage in Epicurious PrepareCuisineIngredientDish Recipe

Metadata usage in Epicurious PrepareCuisineIngredientDish PrepareCuisineDish I Select

Metadata usage in Epicurious PrepareCuisineIngredientDish I > Group by PrepareCuisineDish

Metadata usage in Epicurious PrepareCuisineIngredientDish PrepareCuisineDish I > Group by

Metadata usage in Epicurious PrepareCuisineIngredientDish PrepareCuisineDish I > Group by PrepareCuisine I Select

Recipe Information Architecture Information design –Recipes have five types of metadata categories Cuisine, Preparation, Ingredients, Dish, Occasion Each category has one level of subcategories

Recipe Information Architecture Navigation design –Home page: show top level of all categories –Other pages: A link on an attribute ANDS that attribute to the current query; results are shown according to a category that is not yet part of the query A change-view link does not change the query, but does change which category’s metadata organizes the results

Metadata Usage in Epicurious Can choose category types in any order But categories never more than one level deep And can never use more than one instance of a category –Even though items may be assigned more than one of each category type Items (recipes) are dead-ends –Don’t link to “more like this” Not fully integrated with search

Epicurious Metadata Usage Problem: lacks integration with search

Questions I want to answer How many facets are allowable? Should facets be mixed and matched? How much is too much? How should groups of subhierarchies be revealed? How should free-text search be integrated?

How to measure this Instrument the information architecture Perform usability studies in the form of regression tests Measure the results of the IA in use

Closing Thought A terrific challenge: How to put more science into HCI?