The Effects of Spatial Visualization versus Ranked Lists on Quality, Time Efficiency, and Interaction
Abstract
Hypertext systems support users in navigating structured data sets and to find relevant information. Various interaction and visualization concepts aim to give users better insight into the data set, by suggesting queries and visualizing elements of interest in a meaningful way. Ranked lists are very common to show some sort of priority, while spatial layouts often help users to trace relations in the data. Only little research has been done in user studies that systematically show and reason about the differences of such spatial layouts and ranked lists. In this paper we report on a systematic comparison of a spatial visualization versus a ranked list layout. For this purpose, we did an between-subject study with 43 participants. One group performed a task with a system providing semantic visualization in 2D, the other group performed the same task with a ranked list. Both interfaces are very similar and only differ in how suggestions are visualized. The results show that users of the spatial layout finished their task in shorter time and have a tendency towards higher satisfaction. At the same time, they had more interactions with the system. Furthermore we discuss some in-depth data of the test sessions, which show that the visualization influences the users’ behavior.
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| Titel | The Effects of Spatial Visualization versus Ranked Lists on Quality, Time Efficiency, and Interaction |
|---|---|
| Medien | Proceedings of the 33rd ACM Conference on Hypertext and Social Media (HT'22) |
| Verlag | ACM |
| Heft | --- |
| Band | --- |
| ISBN | --- |
| Verfasser/Herausgeber | Daniel Roßner, Prof. Dr. Claus Atzenbeck, Tom Gross |
| Seiten | 132–142 |
| Veröffentlichungsdatum | 2022-06-01 |
| Projekttitel | --- |
| Zitation | Roßner, Daniel; Atzenbeck, Claus; Gross, Tom (2022): The Effects of Spatial Visualization versus Ranked Lists on Quality, Time Efficiency, and Interaction. Proceedings of the 33rd ACM Conference on Hypertext and Social Media (HT'22), S. 132–142. DOI: 10.1145/3511095.3531286 |