Rosenfeld, Information Architecture: Chapters 20 & 21
Information Architecture for the World Wide Web, Chapter 20: MSWeb: An Enterprise Intranet
- What makes this story most appealing to me is the combination of a flexible multi-disciplinary team working on a high-profile, high-stakes project, producing a product that allows individual business units to totally or partially adapt the solution. Brilliant. Great collaboration and recognition of internal politics and the great variety of solutions and abilities in place.
Chapter 21: evolt.org: An Online Community
- The idea that a well-designed IA can nurture and manage an online community by supporting individual expression and structuring content is compelling. …Online community IA is “the ultimate exercise for designing for context.”
Srivastava, J., Cooley, R., Deshpande, M., & Tan, P.-N. (2000, January 2000).
Web Usage Mining: Discovery and Applications of Usage Patterns from Web Data. SIGKDD Explorations, 1, 12-23.
- Preprocessing → Pattern Discovery → Pattern Analysis
- Applying data mining techniques to the discovery of usage patterns from Web data.
Jansen, B. J., Spink, A., Bateman, J., & Saracevic, T. (1998, Spring, 1998).
Real Life Information Retrieval: A Study of User Queries on the Web. SIGIR Forum: A Publication of the Special Interest Group on Information Retrieval, 32, 5-18.
- Search on the web is vastly different than search in traditional databases such as Dialog. Users are not familiar with Boolean operators and do not look deeply into results. Sites need to support more robust browsing and boost precision.
Chi, Ed, Pirolli, Peter and Pitkow, Jim.
The Scent of a Site: A System for Analyzing and Predicting Information Scent, Usage, and Usability of a Web Site. Proceedings of CHI 2000. ACM Press.
- Scent flow – used to predict and analyze usage patterns.
Silverstein, C., Henzinger, M., Marais, H., & Moricz, M. (1998).
Analysis of a Very Large Web Search Engine Query Log. SIGIR Forum: A Publication of the Special Interest Group on Information Retrieval, 6-12.
- Use of a few keywords, looking briefly at top-level search results, no modification of initial search criteria is typical of users studied.
Nielsen, J. Heuristic Evaluation.
- Visibility of system status
- Match between system and the real world
- User control and freedom
- Consistency and standards
- Error prevention
- Recognition rather than recall
- Flexibility and efficiency of use
- Aesthetic and minimalist design
- Help users recognize, diagnose, and recover from errors
- Help and documentation
See also: First Principles of Interaction Design by Bruce Tognazzini. http://www.asktog.com/basics/firstPrinciples.html
- Anticipation
- Autonomy
- Color Blindness
- Consistency
- Defaults
- Efficiency of the User
- Explorable Interfaces
- Fitt’s Law – The time to acquire a target is a function of the distance to and size of the target.
- Human Interface Objects
- Latency Reduction
- Learnability
- Metaphors, Use of
- Protect Users’ Work
- Readability
- Track State
- Visible Navigation (avoid invisible navigation)