User performance modelling for spatial entities comparison with geodashboards: Using view quality and distractor as concepts
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Geodashboards are increasingly available but there is still a lack of understanding about the design elements that contribute to a positive user experience. This work addresses that gap with a focus on the task of comparing spatial entities. The study explored ways of quantitatively modelling distraction and view quality during the use of geodashboards in question-answering scenarios. Eight types of questions related to the comparison of spatial entities were considered by varying the question-answering scenarios along three dimensions: number of comparison targets, comparison action, and map interaction operand. An exploratory study showed that an exponential model of distractors yields the best results for time and accuracy modelling. These initial findings can serve as a building block for researchers developing theoretical models for the computational design of geodashboards.
Details
Original language | English |
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Title of host publication | Companion Proceedings of the 16th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS Companion 2024) |
Editors | Michael Nebeling, Lucio Davide Spano, José Creissac Campos |
Place of Publication | Cagliari, Italy |
Publisher | ACM Press |
Pages | 7-14 |
Number of pages | 8 |
ISBN (electronic) | 9798400706516 |
Publication status | Published - 24 Jun 2024 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0001-5087-8776/work/162845840 |
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Scopus | 85198620439 |
Keywords
ASJC Scopus subject areas
Keywords
- geodashboard, mathematical models, user experience modelling, visual search