A pointing facilitation system for motor-impaired users combining polynomial smoothing and time-weighted gradient target prediction models.

As computers become more and more essential for everyday life, people who cannot use them are missing out on an important tool. The predominant method of interaction with a screen is a mouse, and difficulty in using a mouse can be a huge obstacle for people who would otherwise gain great value from...

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Publicado en:Assistive Technology Vol. 29; no. 1; pp. 48 - 61
Autores principales: Blow, Nikolaus, Biswas, Pradipta
Formato: equations & formulas pictorial research Journal Article
Publicado: Taylor & Francis Ltd Spring2017
Acceso en línea:Ver este registro en EBSCOhost
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        10.1080/10400435.2016.1178670
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        atl: A pointing facilitation system for motor-impaired users combining polynomial smoothing and time-weighted gradient target prediction models.
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        au:
          Blow, Nikolaus
          Biswas, Pradipta
        affil: Computer Laboratory, University of Cambridge, Cambridge, UK
      sug:
        subj:
          Computer Peripherals
          Software
          User-Computer Interface
          Mouse (Computer)
          Web Browsers
          Motor Skills Disorders Diagnosis
          Linear Regression
          Patient Assessment
          Immobility
          Data Analysis Software
          Predictive Research
          Male
          Female
          Male
          Female
      ab: As computers become more and more essential for everyday life, people who cannot use them are missing out on an important tool. The predominant method of interaction with a screen is a mouse, and difficulty in using a mouse can be a huge obstacle for people who would otherwise gain great value from using a computer. If mouse pointing were to be made easier, then a large number of users may be able to begin using a computer efficiently where they may previously have been unable to. The present article aimed to improve pointing speeds for people with arm or hand impairments. The authors investigated different smoothing and prediction models on a stored data set involving 25 people, and the best of these algorithms were chosen. A web-based prototype was developed combining a polynomial smoothing algorithm with a time-weighted gradient target prediction model. The adapted interface gave an average improvement of 13.5% in target selection times in a 10-person study of representative users of the system. A demonstration video of the system is available at https://youtu.be/sAzbrKHivEY
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        Journal Article
      ougenre: Article
    language: English
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