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1703686 Vol 6 · Issue 1 Download Paper

Virtual Personal Assistant

Pahuljeet Kaur P. Gowri Prof. Rajendra Kulkarni

Subject area: Science,Engineering and Technology  ·  Area of research: AI-ML

Abstract

Artificial Intelligence (AI) technologies are one of the new technologies with new complicated features,that are emerging in a fast pace. Although these technologies seem to be extensively adopted, people do not intend to use them in some cases. Technology adoption has been studied for many years, and there are many general models in the literature describing it. However, having more customized models foremerging technologies upon their features seems necessary. In this paper, we developed a conceptual model involving a new system quality construct, i.e., interaction quality, which we believe can better describe adoption of AI-based technologies. In order to check our model, we used a voice assistant system (VAS) technology as an example of this technology, and tested a theory-based model using a data set achieved from a field survey. Our results confirm that interaction quality significantly affects individual?s trust and leads to adoption of this technology.

Keywords

Artificial Intelligence, Voice Assistant System, Speech Recognition Model , API ,Interaction Quality, Trust, Technology Adoption..

How to cite this paper

Pahuljeet Kaur , P. Gowri , Prof. Rajendra Kulkarni "Virtual Personal Assistant" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 476-480
Pahuljeet Kaur , P. Gowri , Prof. Rajendra Kulkarni "Virtual Personal Assistant" Iconic Research And Engineering Journals, vol. 6, no. 1, Jul. 2022
Pahuljeet Kaur , P. Gowri , Prof. Rajendra Kulkarni (2022). Virtual Personal Assistant. Iconic Research And Engineering Journals, 6(1).
Pahuljeet Kaur , P. Gowri , Prof. Rajendra Kulkarni "Virtual Personal Assistant" Iconic Research And Engineering Journals, vol. 6, no. 1, Jul. 2022.
@article{1703686,
      author = {Pahuljeet Kaur , P. Gowri , Prof. Rajendra Kulkarni},
      title = {Virtual Personal Assistant},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {1},
      pages = {476-480},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703686.pdf},
      abstract = {Artificial Intelligence (AI) technologies are one of the new technologies with new complicated features,that are emerging in a fast pace. Although these technologies seem to be extensively adopted, people do not intend to use them in some cases. Technology adoption has been studied for many years, and there are many general models in the literature describing it. However, having more customized models foremerging technologies upon their features seems necessary. In this paper, we developed a conceptual model involving a new system quality construct, i.e., interaction quality, which we believe can better describe adoption of AI-based technologies. In order to check our model, we used a voice assistant system (VAS) technology as an example of this technology, and tested a theory-based model using a data set achieved from a field survey. Our results confirm that interaction quality significantly affects individual?s trust and leads to adoption of this technology.},
      keywords = {Artificial Intelligence, Voice Assistant System, Speech Recognition Model , API ,Interaction Quality, Trust, Technology Adoption..},
      month = {July},
  }