Framing Data Choices: How Pre-Donation Exploration Design Influence Data Donation Behavior and Decision-Making
This addresses the problem of low actual data donation rates for public sector research, though it is incremental in focusing on design interventions rather than a new paradigm.
The study tackled the gap between willingness and actual data donation by evaluating three pre-donation exploration designs, finding that a social comparison frame achieved 87.5% participation, outperforming self-focused (62.5%) and collective-only (37.5%) frames.
Data donation, an emerging user-centric data collection method for public sector research, faces a gap between participant willingness and actual donation. This suggests a design absence in practice: while promoted as "donor-centered" with technical and regulational advances, a design perspective on how data choices are presented and intervene on individual behaviors remain underexplored. In this paper, we focus on pre-donation data exploration, a key stage for adequately and meaningful informed participation. Through a real-world data donation study (N=24), we evaluated three data exploration interventions (self-focused, social comparison, collective-only). Findings show choice framing impacts donation participation. The "social comparison" design (87.5%) outperformed the "self-focused view" (62.5%) while a "collective-only" frame (37.5%) backfired, causing "perspective confusion" and privacy concerns. This study demonstrates how strategic data framing addresses data donation as a behavioral challenge, revealing design's critical yet underexplored role in data donation for participatory public sector innovation.