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Application of Logistic Regression Analysis of Smartphone Speech Interaction Usage in China: A Questionnaire-Based Study of 622 Adults

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10903)

Abstract

Speech interaction as one of the contact-free input techniques has been applied in mobile devices (e.g. smartphone) for many years, which means that a considerable number of users were exposed to speech interaction. In China, speech interaction, while undoubtedly natural, has also entered users’ life for more than 5 years but it is still perceived as “not that good”. Curiosities are stimulated that what barriers are that prevent speech from becoming one of the mainstream interaction modality in China, yet there is no research on the user experience of mobile speech interaction. An online questionnaire was used to measure participants’ speech interaction use of smartphone. Simple Logistic Regression Model and Ordinal Logistic Regression Model were used as the primary method of data analysis. This study concluded that speech interaction is an interactive modality for the future and need to give full play to the advantages of speech interaction by reducing interface exclusivity, offering services to users actively in combination with situational awareness and guiding users in a variety of modalities.

Keywords

Speech interaction Questionnaire-based Logistic regression analysis 

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Digital Media and Design ArtsBeijing University of Post and TelecommunicationsBeijingChina
  2. 2.Beijing Key Laboratory of Network Systems and Network CultureBeijing University of Post and TelecommunicationsBeijingChina

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