Balancing efficiency and interpretability in an interactive statistical assistant

Authors:
Robert St. Amant;Michael D. Dinardo;Nickie Buckner
Affiliations:
North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC;North Carolina State University, Raleigh, NC
Venue:
Proceedings of the 8th international conference on Intelligent user interfaces
Year:
2003

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Abstract

Making an interface more efficient, in a task analysis sense, can make it more difficult for an automated reasoning system to infer user goals, by eliminating some user actions, by presenting information without requiring overt user selection, and so forth. We call the extent to which a system can make such inferences interpretability. In this paper we describe the tradeoff between interpretability and efficiency. We give some general heuristics for improving interpretability in a system and explain how they apply in an implemented system, an assistant for exploratory statistical analysis. Increased interpretability in the system is provided by navigation techniques for data exploration and a data mountain for organizing results; a formative evaluation illustrates some of the potential benefits of applying interpretability heuristics to an intelligent user interface