Empower Research Lab
Innovating interpersonal informatics tools that integrate social factors and provide privacy-sensitive data visualizations.
This research works to develop "interpersonal informatics" tools where data collection and sensemaking practices may be influenced by social factors, carried out collaboratively, or go beyond the conventional assumptions of individual-oriented self-tracking tools. Further recognizing that graphical metaphors can be more intuitive, relatable, and meaningful to users as well as provide privacy-sensitive abstractions of data, we are also designing novel visualizations for personal and public informatics displays to explore questions around flexible interpretation, social connectedness, and data ephemerality.
Pape Sow Traoré, Elizabeth L. Murnane
Dartmouth College Dartmouth Digital Commons - Master’s Theses
health
smartphone
self-tracking
qualitative analysis
young adults
2021 - 2023
health
smartphone
self-tracking
qualitative analysis