Be the first to like this
Usability and user satisfaction are of paramount importance
when designing interactive software solutions. Furthermore, the optimal
design can be dependent not only on the task but also on the type of
user. Evaluations can shed light on these issues; however, very few studies
have focused on assessing the usability of semantic search systems.
As semantic search becomes mainstream, there is growing need for standardised,
comprehensive evaluation frameworks. In this study, we assess
the usability and user satisfaction of dierent semantic search query input
approaches (natural language and view-based) from the perspective
of dierent user types (experts and casuals). Contrary to previous studies,
we found that casual users preferred the form-based query approach
whereas expert users found the graph-based to be the most intuitive.
Additionally, the controlled-language model oered the most support for
casual users but was perceived as restrictive by experts, thus limiting
their ability to express their information needs.