I study personal informatics (PI) technologies with specific attention towards how these emerging technologies impact self-perception and emotional well-being. In addition to this research, I’ve had the fortunate opportunity to study knowledge worker productivity for two summers as a UX Researcher intern at Google. A few research highlights:

graph-2-icon Impact & Usage of Analytics for Emotional Well-being: Prototyped and deployed a novel web application for emotion regulation in a one-month, nation-wide field experiment to model how activities impact mood. Conducted mixed-methods interview study to explore how users choose to trust system analytics vs. their own beliefs about their emotions. Results suggest different categories of spontaneous judgement strategies in choosing to trust PI analytics and moments of insight when users believe analytics improve self-knowledge.
stress-2-icon Influence of Machine Feedback on Emotion Perception: Developed a research system to physiologically measure signals of high arousal and present visualizations of user data in a mobile application. This system was used to study how feedback from emotion inferencing systems influence emotion perception and stress management. We are also exploring how people choose to trust system feedback when in conflict with their original assessments of stress. Results show that changes in system descriptions significantly impacted reported stress and perceptions of a challenging experience.
stress-2-icon Motivations and Expectations to Adopt PI Systems: Conducted a qualitative and quantitative survey (n=~400) to study motivations to hypothetically adopt a PI system. Findings show that adoption intentions for emotion and stress management PI systems are significantly different than traditional PI tools around fitness and productivity. These results suggest that users may benefit from emotion PI systems that are less goal oriented and more exploratory than traditional self-tracking tools.
target-icon The Impact of Emotional Reflection on Behavior Change: Designed and conducted a one-month field study comparing the behavior change success rates of two technology-based interventions (traditional vs. emotion-focused prompts). We found that simply changing the prompts of a behavior change app to prioritize emotional reflection rather than context reporting led to significant improvements in behavior change success for the emotional reflection group.

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