The Elicitation Interview Technique: Capturing People's Experiences of Data Representations.

Area of Science:

• Human-Computer Interaction
• Information Science
• Data Visualization

Background:

• Information visualization is crucial for sense-making and communication.
• Evaluating user experience with visualizations remains a significant challenge.
• Existing methods lack depth in understanding individual interpretation processes.

Purpose of the Study:

• To explore the applicability of the Elicitation Interview technique for evaluating information visualizations.
• To demonstrate how this method can reveal user experiences during data exploration.
• To highlight the potential for uncovering deeper interpretations and narratives from visual data.

Main Methods:

• The study applies the Elicitation Interview, a method for detailed human experience accounts.
• A specific study is presented to exemplify the application in evaluating data representations.
• Key characteristics of the Elicitation Interview technique are described in the visualization context.

Main Results:

• The Elicitation Interview provides insights into deep interpretation of visual representations.
• It reveals the formation of interpretations and stories extending beyond the raw data.
• The technique facilitates understanding of how users engage with and derive meaning from visualizations.

Conclusions:

• The Elicitation Interview technique holds significant potential for visualization evaluation.
• It offers a valuable approach to understanding the subjective user experience with data visualizations.
• Considerations for applying this technique in visualization research are discussed.