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Designing information architecture for complex websites requires understanding user information needs and mental models in that domain. Personas, or user archetypes, created for such domains should also reflect types of information needs, and usage of information set. We have created a statistical technique to identify important underlying groupings of information needs. In a preliminary study, we show how designers can use this information in conjunction with data from interviews and observations to generate and refine personas.
Rashmi Sinha (Wed,) studied this question.