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分析触屏手势:一项基于唐氏综合征患者的全纳设计研究

Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for All.

机构信息

Department of Techniques and Projects in Engineering and Architecture, Universidad de La Laguna, Av. Angel Guimerá sn, 38071 Tenerife, Spain.

Department of Computer Science, Universidad de Monterrey, Av. Ignacio Morones Prieto 4500-Pte., San Pedro Garza García, 66238 Nuevo Leon, Mexico.

出版信息

Sensors (Basel). 2021 Feb 13;21(4):1328. doi: 10.3390/s21041328.

DOI:10.3390/s21041328
PMID:33668488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7917966/
Abstract

There has been a conscious shift towards developing increasingly inclusive applications. However, despite this fact, most research has focused on supporting those with visual or hearing impairments and less attention has been paid to cognitive impairments. The purpose of this study is to analyse touch gestures used for touchscreens and identify which gestures are suitable for individuals living with Down syndrome (DS) or other forms of physical or cognitive impairments. With this information, app developers can satisfy Design for All (DfA) requirements by selecting adequate gestures from existing lists of gesture sets. Twenty touch gestures were defined for this study and a sample group containing eighteen individuals with Down syndrome was used. A tool was developed to measure the performance of touch gestures and participants were asked to perform simple tasks that involved the repeated use of these twenty gestures. Three variables are analysed to establish whether they influence the success rates or completion times of gestures, as they could have a collateral effect on the skill with which gestures are performed. These variables are and . Analysis reveals that significant difference is present when a pairwise comparison is performed, meaning individuals with DS cannot perform all gestures with the same ease. The variables and do not influence success rates or completion times, but does.

摘要

已经有意识地转向开发越来越具包容性的应用程序。然而,尽管如此,大多数研究都集中在支持视觉或听力障碍者,而对认知障碍者的关注较少。本研究的目的是分析用于触摸屏的触摸手势,并确定哪些手势适合患有唐氏综合征(DS)或其他形式的身体或认知障碍的人。有了这些信息,应用程序开发人员可以通过从现有的手势集列表中选择合适的手势来满足全民设计(DfA)的要求。本研究定义了二十个触摸手势,并使用包含十八名唐氏综合征患者的样本组。开发了一种工具来测量触摸手势的性能,并要求参与者执行涉及重复使用这二十个手势的简单任务。分析了三个变量,以确定它们是否会影响手势的成功率或完成时间,因为它们可能对手势的执行熟练程度产生附带影响。这三个变量分别是 、 和 。分析表明,当进行两两比较时,存在显著差异,这意味着患有 DS 的个体不能以相同的轻松程度执行所有手势。变量 、 和 不会影响成功率或完成时间,但 会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/fe124cef6df1/sensors-21-01328-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/b7fbf3e2d489/sensors-21-01328-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/c3664c7b28da/sensors-21-01328-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/3abfea46a126/sensors-21-01328-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/3fd0ad6d9c26/sensors-21-01328-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/4af484485ae3/sensors-21-01328-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/4dabf8730d2a/sensors-21-01328-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/1371dbaa2eda/sensors-21-01328-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/15e5a671dedb/sensors-21-01328-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/fe124cef6df1/sensors-21-01328-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/b7fbf3e2d489/sensors-21-01328-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/c3664c7b28da/sensors-21-01328-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/3abfea46a126/sensors-21-01328-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/3fd0ad6d9c26/sensors-21-01328-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/4af484485ae3/sensors-21-01328-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/4dabf8730d2a/sensors-21-01328-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/1371dbaa2eda/sensors-21-01328-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/15e5a671dedb/sensors-21-01328-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b93/7917966/fe124cef6df1/sensors-21-01328-g009.jpg

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