Do redundant graphical attributes reduce decision-making efficiency?

IF 2 3区工程技术 Q3 ENGINEERING, INDUSTRIAL Ergonomics Pub Date : 2025-02-01 Epub Date: 2024-02-12 DOI:10.1080/00140139.2024.2316314

Tao Jin, Chunpeng Chen, Yuting Xia, Xinyu Liu, Xiaoxu Liu

{"title":"Do redundant graphical attributes reduce decision-making efficiency?","authors":"Tao Jin, Chunpeng Chen, Yuting Xia, Xinyu Liu, Xiaoxu Liu","doi":"10.1080/00140139.2024.2316314","DOIUrl":null,"url":null,"abstract":"<p><p>Multiple time-series graphs are commonly used for data visualisation, but few scholars have investigated the impact of graphical attributes on decision-making efficiency. This study explores the effects of graphical attributes of varying redundancy conditions on decision-making efficiency. Two experimental conditions were developed for the experiment: non-redundant (independent graphical attributes: colour, linear and marker) and redundant (combinations of two and more graphical attributes: colour and linear, colour and marker, etc.). A total of 60 people took part in both experiments and performed two tasks: maximisation and discrimination. The experiments revealed that the addition of attributes, such as colour, marker or linear, decreased response time (RT), but the combination of colour & linear & marker increased RT. This is more significant in discrimination tasks. We provide empirical evidence for the design of time-series data visualisations and encourage the combination of two of these graphical attributes, such as colour & linear, colour & marker or linear & marker, when conditions allow, to improve decision-making efficiency.</p>","PeriodicalId":50503,"journal":{"name":"Ergonomics","volume":" ","pages":"213-222"},"PeriodicalIF":2.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ergonomics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/00140139.2024.2316314","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/2/12 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}

引用次数: 0

Abstract

Multiple time-series graphs are commonly used for data visualisation, but few scholars have investigated the impact of graphical attributes on decision-making efficiency. This study explores the effects of graphical attributes of varying redundancy conditions on decision-making efficiency. Two experimental conditions were developed for the experiment: non-redundant (independent graphical attributes: colour, linear and marker) and redundant (combinations of two and more graphical attributes: colour and linear, colour and marker, etc.). A total of 60 people took part in both experiments and performed two tasks: maximisation and discrimination. The experiments revealed that the addition of attributes, such as colour, marker or linear, decreased response time (RT), but the combination of colour & linear & marker increased RT. This is more significant in discrimination tasks. We provide empirical evidence for the design of time-series data visualisations and encourage the combination of two of these graphical attributes, such as colour & linear, colour & marker or linear & marker, when conditions allow, to improve decision-making efficiency.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

多余的图形属性是否会降低决策效率？

多时间序列图形通常用于数据可视化，但很少有学者研究图形属性对决策效率的影响。本研究探讨了不同冗余条件下图形属性对决策效率的影响。实验设置了两种实验条件：非冗余（独立的图形属性：颜色、线性和标记）和冗余（两种及两种以上图形属性的组合：颜色和线性、颜色和标记等）。共有 60 人参加了这两项实验，并完成了两项任务：最大化和辨别。实验显示，增加颜色、标记或线性等属性会减少反应时间（RT），但颜色、线性和标记的组合会增加反应时间。这在辨别任务中更为明显。我们为时间序列数据可视化设计提供了经验证据，并鼓励在条件允许的情况下，将颜色与线性、颜色与标记或线性与标记等两种图形属性结合起来，以提高决策效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文去求助

来源期刊

Ergonomics 工程技术-工程：工业

CiteScore

4.60

自引率

12.50%

发文量

147

审稿时长

6 months

期刊介绍： Ergonomics, also known as human factors, is the scientific discipline that seeks to understand and improve human interactions with products, equipment, environments and systems. Drawing upon human biology, psychology, engineering and design, Ergonomics aims to develop and apply knowledge and techniques to optimise system performance, whilst protecting the health, safety and well-being of individuals involved. The attention of ergonomics extends across work, leisure and other aspects of our daily lives. The journal Ergonomics is an international refereed publication, with a 60 year tradition of disseminating high quality research. Original submissions, both theoretical and applied, are invited from across the subject, including physical, cognitive, organisational and environmental ergonomics. Papers reporting the findings of research from cognate disciplines are also welcome, where these contribute to understanding equipment, tasks, jobs, systems and environments and the corresponding needs, abilities and limitations of people. All published research articles in this journal have undergone rigorous peer review, based on initial editor screening and anonymous refereeing by independent expert referees.