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Week 5 of our Information Architecture and Design course focuses on critical project planning and the organization of content. We'll discuss planning IA structures, the significance of descriptive and prescriptive metadata, and controlled vocabularies. Students will prepare presentations on their research topics, emphasizing the relevance of taxonomies and user understanding. We'll also explore the integration of various strategies for user-centered design, including taxonomies of web activities and the application of ethnographic methods in gauging user requirements.
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Information Architecture & Design • Week 5 Schedule • Group Project Plan Due • Planning IA Structures • Other Readings • Research Topic Presentations
Thesauri, Vocabularies & Metadata • The Structure of Your Content (Part of the Plan) • What Do You Do With Your Project Data? • Context • Descriptive • Prescriptive • Quality • Accuracy • Recency • Characteristics • Media / MIME • Uses • Represent the Relationships Between Systems
Controlled Vocabularies • Establish Consistencies • For the Content • For the Developers • Just Synonyms? • Lists of Equivalents (Index) • Aliases (Authority File) • Also an Implied or Overt Hierarchy • “Synonym Ring” • Based on User’s Understanding • Improved Upon by IA • Not Just for Search
Classification Schemes • Taxonomy (more than one) • Front End • Users • Interface (Browse) • Back End • Information Architecture • Content Management • System (Search) • CS Types • LIS & CS • Top-Down & Bottom-Up • Content & Task • ALL
Semantic Relationships • Equivalence (Alternate Names) • Derived (Rules) • Vocabulary (Uses) • Hierarchical (Relationships) • Strong (Inherited) • City - Austin • Instance (Classes) • Texas - Austin • Associative • Based on Understanding of Content • Based on Understanding of Users
Taxonomy of Decisions & Actions • Purpose of the Search • Method to Find Information • Content of the Information Being Searched • GVU Survey Question • Recent instance of important information found • Critical Incident Technique • Complete Instances • Known Consequences (Results) • Morrison 2001
Taxonomy pt. 2 • Taxonomies of Web Activities • Why people searched the Web • How search the Web • What information searched • Analysis of Responses from Survey into Experiment • Purpose Taxonomy • Method Taxonomy • Content Taxonomy
Human Information Behavior • Information Seeking (Strategies) • Information Searching (Strategies) • Information Use • Physical Actions • Mental Actions • Focus on the User • Wilson 2001
New Models of Info Behavior pt. 3 • Problem Solving • System Actions • Integration of Actions
Rapid Ethnography • Like Rapid Prototyping & Usability Inspection • Field Work • Ethnography • People (Practice) • Environments (Native) • Activities (Context) • Cultural Observation and Analysis • Elicit User Requirements • More Focused (Decisions) • Millen 2000
Rapid Ethnography pt. 2 • Short Studies • Comparisons to Other Studies • Zoom in On Key Activities • Multiple Datasets (Critical Incidents) • Observations • Recording • Activity Walkthroughs • Interviews (Structured) • Selection of Instances that Yield Incidents • Key Times • Key Users
Rapid Ethnography pt. 3 • Automated Data Analysis • Team Data Analysis • Scenario Analysis (storyboards) • Pictorial Storytelling (metaphors) • Lightweight Deliverables • Drawings (Sketches) • Notes (not Reports) • Incomplete • Prototypes • Cognitive Mapping (assumptive) • Substitute for Full or Complete Studies
How Do We Really Use the Web? • Reading vs. Scanning • Quality of Elements • Quantity of Elements • Purpose of Pages • Satisficing • Guessing with Speed • Low Penalties (Back) • Testing Boundaries • Muddling and Forging Ahead • Stick with what works • Not concerned with understanding • Krug 2000
Semiotics of the Web • Site Structure and Cognitive Design • Typography • Medium use • Browsers • Message content • Paper • Web • Appeal • Attention (interest) • Relevance (needs and motives) • Confidence (expectation & achievement) • Accessibility • Culture • Physical • Smart, et al. 2000
Learning and Interests (Users) • Learning is Remembering What You’re Interested In • Cultivating Interest • Relevance • Interests vs. Obligations • Examples for Understanding • Metaphors • Content Presentation • “Architecture is Making Connections”
Designing for Users • Permutations • Connections • Facts vs. Ideas • Discovery vs. JITI