2009
DOI: 10.1080/01449290802479711
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A user study of accessing web applications via voice cellular phone: a model comparison approach

Abstract: Although most users currently receive web services from web browser interfaces, pervasive computing is emerging and offering new ways of accessing Internet applications from any device, any time and anywhere. It is not only a technological change, but a philosophical and psychological one. Our research project investigated the theoretical concepts of pervasive computing as well as their practical applications, by using cellular phones as the pervasive device to access a web application prototype, the voice-ena… Show more

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Cited by 12 publications
(6 citation statements)
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“…However, the nature of MDS significantly differentiates from other systems in terms of approach and infuses for more elaborate research in terms of usage and adoption (Hong et al 2007), especially with the arrival of pervasive systems, rendering this change not only technological, but also philosophical and psychological one (Chang et al 2009). We incorporate in our model, as proposed by Triandis, the notion of affect in terms of perceived enjoyment.…”
Section: Discussionmentioning
confidence: 99%
“…However, the nature of MDS significantly differentiates from other systems in terms of approach and infuses for more elaborate research in terms of usage and adoption (Hong et al 2007), especially with the arrival of pervasive systems, rendering this change not only technological, but also philosophical and psychological one (Chang et al 2009). We incorporate in our model, as proposed by Triandis, the notion of affect in terms of perceived enjoyment.…”
Section: Discussionmentioning
confidence: 99%
“…In addition, they found that gender and education level were significant moderators of many of the relationships in this model. Chang et al (2009) combined TAM and TPB to predict the use of voice-enabled web systems on cell phones. Their study found both TAM and TPB to independently be good predictors of usage.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Recognition accuracy will vary due to individual speech quality; people with thick accents may cause lower recognition rate. Moreover, the use of speech input systems in public context may result in privacy leakage risks [68]. Previous studies have also obtained positive correlation results in exploring risk barriers and users' innovation resistance.…”
Section: Risk Barriersmentioning
confidence: 95%