Modelling touch-interaction time on smartphones. Issue 12 (1st December 2016)
- Record Type:
- Journal Article
- Title:
- Modelling touch-interaction time on smartphones. Issue 12 (1st December 2016)
- Main Title:
- Modelling touch-interaction time on smartphones
- Authors:
- Hayes, Sean T.
Steiger, James H.
Adams, Julie A. - Abstract:
- ABSTRACT: Accurate performance models are important for interaction technique, application, and hardware design. The limited screen size of mobile devices and use of touch interaction require unique considerations, especially when interacting with large amounts of information. This paper considers the performance impact of target visibility on mobile smartphone applications that provide on- and offscreen content with the commonly used direct-touch interactions and four cursor-based interaction methods for precise selection. Three existing and 12 novel performance models are experimentally validated. Fitts' Law, which was not designed for modelling selection of offscreen targets, did not predict interaction times for mobile interaction methods as accurately as is commonly observed with desktop interaction with onscreen targets. Target visibility was found to greatly impact interaction times (particularly for direct-touch interaction). The presented models that incorporate variables related to target visibility greatly improve predicted interaction times. The use and merits of the top models are discussed, emphasizing the importance and implications of accepted user-interface design guidelines.
- Is Part Of:
- Behaviour & information technology. Volume 35:Issue 12(2016)
- Journal:
- Behaviour & information technology
- Issue:
- Volume 35:Issue 12(2016)
- Issue Display:
- Volume 35, Issue 12 (2016)
- Year:
- 2016
- Volume:
- 35
- Issue:
- 12
- Issue Sort Value:
- 2016-0035-0012-0000
- Page Start:
- 1022
- Page End:
- 1043
- Publication Date:
- 2016-12-01
- Subjects:
- User modelling -- hand-held device -- touch -- interaction design -- Fitts' Law -- human–machine -- interface
Electronic data processing -- Periodicals
Human engineering -- Periodicals
Information technology -- Periodicals
303.4833 - Journal URLs:
- http://www.tandfonline.com/ ↗
- DOI:
- 10.1080/0144929X.2016.1221460 ↗
- Languages:
- English
- ISSNs:
- 0144-929X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 1876.660000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 528.xml