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dc.contributor.advisorChaparro, Barbara S.
dc.contributor.authorSmith, Amanda Lynn
dc.date.accessioned2013-11-14T23:08:24Z
dc.date.available2013-11-14T23:08:24Z
dc.date.issued2013-05
dc.identifier.otherd13014
dc.identifier.urihttp://hdl.handle.net/10057/6730
dc.descriptionThesis (Ph.D.)--Wichita State University, Fairmount College of Liberal Arts and Sciences, Dept. of Psychologyen_US
dc.description.abstractSmartphones have dominated the American mobile phone market since mid-2012 (Nielsen, 2012). Forty-five percent of American adults own smartphones (Smith, 2012), and report frequently using their devices for the same tasks: text messaging, emailing, and social networking (comScore, 2013), all of which are dependent on text entry. Hardware and/or software text input options are available, but recently vendors have begun to abandon physical keyboards in their device portfolios. Empirical research does not indicate, comparatively, which smartphone text entry methods are the fastest, most accurate, and most preferred by consumers. Furthermore, potential relationships that users' anthropometry, voice qualities and age-related limitations may have with the accuracy and satisfaction of these input methods have not been addressed. Two experiments explored the impact that five frequently used smartphone input methods (physical and onscreen Qwerty keyboards, tracing, handwriting, and voice recognition) had on novice user performance, perceived workload, satisfaction, and preference. Relationships between anthropometry, speech and voice qualities with the input methods were also examined. Results from Study 1 demonstrate that younger adults were fastest with voice recognition, but committed fewer errors, reported lower workload, higher satisfaction, and preference with the physical keyboard. Results from Study 2 revealed that older adults were fastest, most accurate, reported lower workload, higher satisfaction and preference for voice recognition. A comparison between age groups suggested that older adults were generally slower and committed more errors. However, performance differences were not found between age groups for voice recognition entry rates and word error rates, as well as for physical Qwerty uncorrected error rates. Additionally, both groups had similar satisfaction and preference ratings for most methods.en_US
dc.format.extentxviii, 108p.
dc.language.isoen_USen_US
dc.publisherWichita State Universityen_US
dc.rightsCopyright Amanda Lynn Smith, 2013
dc.subject.lcshElectronic dissertationsen
dc.titleSmartphone input method performance, satisfaction, workload, and preference with younger and older novice adultsen_US
dc.typeDissertationen_US


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  • Dissertations
    This collection includes Ph.D. dissertations completed at the Wichita State University Graduate School (Fall 2005 --)
  • LAS Theses and Dissertations
    Theses and dissertations completed at the College of Liberal Arts and Sciences (Fall 2005 -)
  • PSY Theses and Dissertations
    This collection consists of theses and dissertations completed at the WSU Department of Psychology.

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