@inproceedings{241495aff48f4d2fb2052bcbbbd6ad1f,
title = "Supporting complex decisions through selection of appropriate graphical layout",
abstract = "Decision support tools are designed to improve a user{\textquoteright}s ability to take complex decisions and the choice of presentation format is highly relevant to this. Many papers have demonstrated a link between graphical format and decision choice but there has been less evaluation within the context of complex decision making and uncertainty. This study examines the impact of data representation (a) within a univariate and continuous choice decision context and (b) within a multivariate context with discrete choices. Participants in each study were randomly allocated to different display conditions and the impact of the display on their performance recorded, in (a) accuracy of the response and (b) the ease of decision making and comfort with the decision choice. The results suggest that while it is possible to identify graphical representations that produce better decision responses in a single-variable problem scenario this is not necessarily true in a multivariate discrete-choice situation.",
keywords = "visual representation, graphic representation, complex decision-making, non-expert user, uncertainty",
author = "Caroline Parker and Kedra DeBusk",
note = "Non-HEFCE (book series) ET",
year = "2016",
month = jun,
day = "22",
doi = "10.1007/978-3-319-40548-3_11",
language = "English",
isbn = "9783319405476",
volume = "Part 1",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "64--68",
editor = "Constantine Stephanidis",
booktitle = "HCI International 2016 - Posters' Extended Abstracts",
address = "United States",
}