Exploratory Sequential Data Analysis: Foundations

Exploratory Sequential Data Analysis: Foundations,10.1207/s15327051hci0903&4_2,Human-computer Interaction,Penelope M. Sanderson,Carolanne Fisher

Exploratory Sequential Data Analysis: Foundations   (Citations: 99)
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Human-computer interaction (HCI) investigators must consider the sequential nature of interaction and must often weigh behavioral, cognitive, and social factors when studying and designing today's increasingly complex systems. In many cases, laboratory experimentation is inappropriate and formal modeling intracta- ble; instead, observational data analysis is frequently the only appropriate empir- ical approach. Diverse approaches to observational data analysis already exist, which we synthesize as instances of exploratory sequential data analysis (ESDA). In this article, we outline fundamental ESDA characteristics that might help HCI investigators using sequential data make better conceptual and methodological choices. ESDA owes a philosophical debt to exploratory data analysis but focuses on exploring sequential data. Important issues for ESDA are finding an appropri- ate temporal band for analysis, finding an effective semantics for encoding, and completing an analysis in an acceptable time frame. We survey temporal factors
Journal: Human-computer Interaction , vol. 9, no. 3, pp. 251-317, 1994
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