Jon Froehlich
Mike Y. Chen
Sunny Consolvo
James A. Landay
ABSTRACT
In this talk, we describe how the MyExperience tool uses sensing, machine inference, and self-report to gather information about human attitudes, behaviors, and mobile device usage. To illustrate this, we focus on four field studies that leverage different aspects of MyExperience to collect rich quantitative and qualitative data in the field. For each study, we emphasize how sensors are used to automatically derive knowledge about the user and how self-report is used to account for limitations in sensing and inference.
Index Terms
- Increasing the breadth: applying sensors, inference and self-report in field studies with the MyExperience tool
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