Leveraging finger identification to integrate multi-touch command selection and parameter manipulation.
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| Title: | Leveraging finger identification to integrate multi-touch command selection and parameter manipulation. |
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| Authors: | Goguey, Alix1 alix.goguey@inria.fr, Vogel, Daniel2 dvogel@uwaterloo.ca, Chevalier, Fanny1 fanny.chevalier@inria.fr, Pietrzak, Thomas3 thomas.pietrzak@univ-lille1.fr, Roussel, Nicolas1 nicolas.roussel@inria.fr, Casiez, Géry3 gery.casiez@univ-lille1.fr |
| Source: | International Journal of Human-Computer Studies. Mar2017, Vol. 99, p21-36. 16p. |
| Subjects: | User interfaces, Table manipulation (Computer science), Constraint programming, Touch screen interfaces, Customization |
| Abstract: | Identifying which fingers are touching a multi-touch surface provides a very large input space. We describe FingerCuts, an interaction technique inspired by desktop keyboard shortcuts to exploit this potential. FingerCuts enables integrated command selection and parameter manipulation, it uses feed-forward and feedback to increase discoverability, it is backward compatible with current touch input techniques, and it is adaptable for different touch device form factors. We implemented three variations of FingerCuts, each tailored to a different device form factor: tabletop, tablet, and smartphone. Qualitative and quantitative studies conducted on the tabletop suggests that with some practice, FingerCuts is expressive, easy-to-use, and increases a sense of continuous interaction flow and that interaction with FingerCuts is as fast, or faster than using a graphical user interface. A theoretical analysis of FingerCuts using the Fingerstroke-Level Model (FLM) matches our quantitative study results, justifying our use of FLM to analyse and validate the performance for the other device form factors. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Studies is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 120542484 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Leveraging finger identification to integrate multi-touch command selection and parameter manipulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Goguey%2C+Alix%22">Goguey, Alix</searchLink><relatesTo>1</relatesTo><i> alix.goguey@inria.fr</i><br /><searchLink fieldCode="AR" term="%22Vogel%2C+Daniel%22">Vogel, Daniel</searchLink><relatesTo>2</relatesTo><i> dvogel@uwaterloo.ca</i><br /><searchLink fieldCode="AR" term="%22Chevalier%2C+Fanny%22">Chevalier, Fanny</searchLink><relatesTo>1</relatesTo><i> fanny.chevalier@inria.fr</i><br /><searchLink fieldCode="AR" term="%22Pietrzak%2C+Thomas%22">Pietrzak, Thomas</searchLink><relatesTo>3</relatesTo><i> thomas.pietrzak@univ-lille1.fr</i><br /><searchLink fieldCode="AR" term="%22Roussel%2C+Nicolas%22">Roussel, Nicolas</searchLink><relatesTo>1</relatesTo><i> nicolas.roussel@inria.fr</i><br /><searchLink fieldCode="AR" term="%22Casiez%2C+Géry%22">Casiez, Géry</searchLink><relatesTo>3</relatesTo><i> gery.casiez@univ-lille1.fr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Studies%22">International Journal of Human-Computer Studies</searchLink>. Mar2017, Vol. 99, p21-36. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22User+interfaces%22">User interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Table+manipulation+%28Computer+science%29%22">Table manipulation (Computer science)</searchLink><br /><searchLink fieldCode="DE" term="%22Constraint+programming%22">Constraint programming</searchLink><br /><searchLink fieldCode="DE" term="%22Touch+screen+interfaces%22">Touch screen interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Customization%22">Customization</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Identifying which fingers are touching a multi-touch surface provides a very large input space. We describe FingerCuts, an interaction technique inspired by desktop keyboard shortcuts to exploit this potential. FingerCuts enables integrated command selection and parameter manipulation, it uses feed-forward and feedback to increase discoverability, it is backward compatible with current touch input techniques, and it is adaptable for different touch device form factors. We implemented three variations of FingerCuts, each tailored to a different device form factor: tabletop, tablet, and smartphone. Qualitative and quantitative studies conducted on the tabletop suggests that with some practice, FingerCuts is expressive, easy-to-use, and increases a sense of continuous interaction flow and that interaction with FingerCuts is as fast, or faster than using a graphical user interface. A theoretical analysis of FingerCuts using the Fingerstroke-Level Model (FLM) matches our quantitative study results, justifying our use of FLM to analyse and validate the performance for the other device form factors. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Human-Computer Studies is the property of Academic Press Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.ijhcs.2016.11.002 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 21 Subjects: – SubjectFull: User interfaces Type: general – SubjectFull: Table manipulation (Computer science) Type: general – SubjectFull: Constraint programming Type: general – SubjectFull: Touch screen interfaces Type: general – SubjectFull: Customization Type: general Titles: – TitleFull: Leveraging finger identification to integrate multi-touch command selection and parameter manipulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Goguey, Alix – PersonEntity: Name: NameFull: Vogel, Daniel – PersonEntity: Name: NameFull: Chevalier, Fanny – PersonEntity: Name: NameFull: Pietrzak, Thomas – PersonEntity: Name: NameFull: Roussel, Nicolas – PersonEntity: Name: NameFull: Casiez, Géry IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 10715819 Numbering: – Type: volume Value: 99 Titles: – TitleFull: International Journal of Human-Computer Studies Type: main |
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