Cardiff Metropolitan University
Browse
- No file added yet -

Investigating aesthetics to afford more ‘felt’ knowledge and ‘meaningful’ navigation interface designs

Download (1.13 MB)
conference contribution
posted on 2022-05-23, 11:01 authored by Fiona CarrollFiona Carroll, Maggie Webb, Simon Cropper
Aesthetically manipulating the visual variables of a navigation interface design has the potential for substantial improvements in the interpretation of, and subsequent navigational choices made resulting from that design. This paper reports on a study that explores how an ‘optimal’ path is understood across fifteen different types of route map designs for ten cities (approximately 150 route map designs in total). We are interested in how participants make sense of the route map, and subsequently choose an optimal pathway. The findings show that participants who experience certain aesthetically designed route maps are more inclined to meaningfully link information and create connections. By more deeply understanding people’s perceptions of the aesthetics of a navigation problem space – particularly the ways in which people value and connect with aesthetic elements and how these impact the decisions made – a novel insight into individuals’ understanding of data visualisation and how aesthetics affect is achieved.

History

Presented at

Conference paper presented at IV2020 - 24th International Conference Information Visualisation

Published in

IV2020 - 24th International Conference Information Visualisation

Publisher

IEEE

Version

  • AM (Accepted Manuscript)

Citation

Carroll, F., Webb, M. and Cropper, S. (2020) 'Investigating aesthetics to afford more ‘felt’ knowledge and ‘meaningful’ navigation interface design', IV2020 - 24th International Conference Information Visualisation.

Electronic ISSN

2375-0138

ISBN

978-1-7281-9134-8

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Fiona Carroll

Copyright Holder

  • © The Publisher

Publisher Rights Statement

© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Language

  • en

Usage metrics

    School of Technologies Research - Conference Papers

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC