Exploring Serendipity in Information Seeking for Digital Collections: A Mixed-Methods Survey Study toward Human-Centered Design
For designers of digital collections, this work provides initial empirical insights into factors influencing serendipity, though the small sample size and exploratory nature limit generalizability.
This study investigates user experience and perception of serendipity in digital collections through a mixed-methods survey (N=30). Results show that users with both broad and specific goals report higher serendipity than those with only specific goals, and that system features enabling unexpected interactions correlate with increased serendipity perception.
In this paper, we explore user experience and perception of serendipity in information seeking for digital collections through a human-centered design lens. Beginning with an exploratory scoping literature review, we collated the theoretical foundations of serendipity, serendipity in information seeking, search user interfaces, and digital collections. By positioning researchers interacting with digital collections as our primary stakeholders, we utilized a mixed-methods approach involving an online survey study (N = 30). We primarily inquired study participants about the digital collections they worked with, their information seeking behavior, system user experience, and perception of serendipity. Results show that participants with both broad and specific goals, depending on the situation, reported a higher perception of serendipity than participants with specific goals. We found correlations between certain aspects of serendipitous digital environment and perception of serendipity, along with the aspects of former that influence the latter: the system providing more opportunities for unexpected interactions with information, ideas, or resources while seeking information in digital collections corresponded to higher user perceptions of serendipity. We also found correlations between serendipity and autobiographically-identified key research metrics, including a strong positive alignment among learning, collaboration, and value change. Moreover, results indicated mixed sentiments toward AI-facilitated serendipity features. Lastly, possible system design directions to facilitate serendipity in information seeking are discussed.