Reading comprehension is a foundational cognitive process. As we move from paper to screens, design decisions play a critical role in shaping outcomes. Line spacing, or "leading," impacts visual density, which in turn affects perceptual fluency and navigation during reading tasks. This study was completed via the Human-Centered Design & Engineering M.S. at the University of Washington.
Reading comprehension is a foundational cognitive process. As we move from paper to screens, design decisions play a critical role in shaping outcomes. Line spacing, or "leading," impacts visual density, which in turn affects perceptual fluency and navigation during reading tasks.
Research Qeestion: Does line spacing affect reading comprehension?
Between-subjects online experiment conducted on Qualtrics.
Samples were balanced to 2 conditions (1.0 Spacing or 2.0 Spacing)
We fileded 98 usable responses.
Participants ages ranged from 18 to 65 among a variety of demographics (age, gender, race).
Independent Sample T-Test
Mediation Analysis (Objective measures): Reading time, Quiz scores
Mediation Analysis (Subjective Measures): Composite Readability index (Cronbach's α = .93)
This study was conducted as part of a course project, which afforded a level of ownership rarely available in a corporate setting. With no stakeholder constraints or approval processes, decisions could be made efficiently and with full autonomy, a valuable contrast to agency or in-house research environments.The absence of a budget introduced its own set of challenges. Without participant incentives, recruitment relied on university networks and peer data-sourcing groups. Despite these limitations, the study reached a sample size of 98, a meaningful outcome given the resource constraints.The findings open the door for further exploration. While line spacing did not emerge as a statistically significant predictor of reading comprehension, the effect approached significance, suggesting that a larger sample size could yield more conclusive results. Replication with greater statistical power would be a worthwhile next step.