The paper proposes a taxonomy of data-expectation gap experiences, covering sources of evidence, mismatch types, contextual factors, and personal evaluation mechanisms, based on two qualitative studies.
Making lifelogging usable: Design guidelines for activity trackers
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The Data-Expectation Gap: A Vocabulary Describing Experiential Qualities of Data Inaccuracies in Smartwatches
The paper proposes a taxonomy of data-expectation gap experiences, covering sources of evidence, mismatch types, contextual factors, and personal evaluation mechanisms, based on two qualitative studies.