Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for All
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 tou...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/4/1328 |
| _version_ | 1827589260883001344 |
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| author | Jorge Martin-Gutierrez Marta Sylvia Del Rio Guerra |
| author_facet | Jorge Martin-Gutierrez Marta Sylvia Del Rio Guerra |
| author_sort | Jorge Martin-Gutierrez |
| collection | DOAJ |
| description | 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 <i>Gender, Type of Down syndrome,</i> and <i>Socioeconomic Status</i>. 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 <i>Gender</i> and <i>Socioeconomic Status</i> do not influence success rates or completion times, but <i>Type of DS</i> does. |
| first_indexed | 2024-03-09T00:54:08Z |
| format | Article |
| id | doaj.art-0092de10db0e492cab400f7917ef2457 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T00:54:08Z |
| publishDate | 2021-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-0092de10db0e492cab400f7917ef24572023-12-11T16:58:44ZengMDPI AGSensors1424-82202021-02-01214132810.3390/s21041328Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for AllJorge Martin-Gutierrez0Marta Sylvia Del Rio Guerra1Department of Techniques and Projects in Engineering and Architecture, Universidad de La Laguna, Av. Angel Guimerá sn, 38071 Tenerife, SpainDepartment of Computer Science, Universidad de Monterrey, Av. Ignacio Morones Prieto 4500-Pte., San Pedro Garza García, 66238 Nuevo Leon, MexicoThere 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 <i>Gender, Type of Down syndrome,</i> and <i>Socioeconomic Status</i>. 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 <i>Gender</i> and <i>Socioeconomic Status</i> do not influence success rates or completion times, but <i>Type of DS</i> does.https://www.mdpi.com/1424-8220/21/4/1328hand gestureshuman computer interaction (HCI)user-centered designDown syndromeuser experienceUX guidelines |
| spellingShingle | Jorge Martin-Gutierrez Marta Sylvia Del Rio Guerra Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for All Sensors hand gestures human computer interaction (HCI) user-centered design Down syndrome user experience UX guidelines |
| title | Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for All |
| title_full | Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for All |
| title_fullStr | Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for All |
| title_full_unstemmed | Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for All |
| title_short | Analysing Touchscreen Gestures: A Study Based on Individuals with Down Syndrome Centred on Design for All |
| title_sort | analysing touchscreen gestures a study based on individuals with down syndrome centred on design for all |
| topic | hand gestures human computer interaction (HCI) user-centered design Down syndrome user experience UX guidelines |
| url | https://www.mdpi.com/1424-8220/21/4/1328 |
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