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Survey on Virtual Assistant: Google Assistant, Siri, Cortana, Alexa

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Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 968))

Abstract

Virtual assistant is boon for everyone in this new era of 21st century. It has paved way for a new technology where we can ask questions to machine and can interact with IVAs as people do with humans. This new technology attracted almost whole world in many ways like smart phones, laptops, computers etc. Some of the significant VPs are like Siri, Google Assistant, Cortana, and Alexa. Voice recognition, contextual understanding and human interaction are the issues which are not solved yet in this IVAs. So, to solve those issues 100 users participated a survey for this research and shared their experiences. All users’ task was to ask questions from the survey to all personal assistants and from their experiences this research paper came up with the actual results. According to that results many services were covered by these assistants but still there are some improvements required in voice recognition, contextual understanding and hand free interaction. After addressing these improvements in IVAs will definitely increased its use is the main goal for this research paper.

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References

  1. Gong, L.: San Francisco, CA (US) United States US 2003.01671.67A1 (12) Patent Application Publication c (10) Pub. No.: US 2003/0167167 A1 Gong (43) Pub. Date: 4 September 2003 for Intelligent Virtual Assistant

    Google Scholar 

  2. Sarikaya, R.: The technology behind personal digital assistants. IEEE Signal Process. Mag. 34, 67–81 (2017). https://doi.org/10.1109/msp.2016.2617341

    Article  Google Scholar 

  3. Tsiao, J.C.-S., Tong, P.P., Chao, D.Y.: Natural-Language Voice-Activated Personal Assistant, United States Patent (10), Patent No.: US 7,216,080 B2 (45), 8 May 2007

    Google Scholar 

  4. Sirbi, K., Patankar, A.J.: Personal assistant with voice recognition intelligence. Int. J. Eng. Res. Technol. 10(1), 416–419 (2017). ISSN 0974-3154

    Google Scholar 

  5. Kawamura, T., Ohsuga, A.: Flower voice: virtual assistant for open data

    Google Scholar 

  6. Elshafei, M.: Virtual personal assistant (VPA) for mobile users. Mitel Networks (2000–2002)

    Google Scholar 

  7. Chung, H., Iorga, M., Voas, J., Lee, S.: Alexa, can I trust you? In: 2017 IEEE Computer Security (2017)

    Google Scholar 

  8. Cowan, B.R.: What can i help you with?: infrequent users’ experiences of intelligent personal assistants. In: 2015 IEEE 10th International Conference on Industrial and Information Systems, ICIIS 2015, Sri Lanka (2015)

    Google Scholar 

  9. Weeratunga, A.M., Jayawardana, S.A.U., Hasindu, P.M.A.K, Prashan, W.P.M., Thelijjagoda, S.: Project Nethra - an intelligent assistant for the visually disabled to interact with internet services. In: 2015 IEEE 10th International Conference on Industrial and Information System (2015)

    Google Scholar 

  10. López, G., Quesada, L., Guerrero, L.A.: Alexa vs. siri vs. cortana vs. Google assistant: a comparison of speech-based natural user interfaces. In: Nunes, I. (ed.) AHFE 2017. AISC, vol. 592, pp. 241–250. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60366-7_23

    Chapter  Google Scholar 

  11. Zhao, Y., Li, J., Zhang, S., Chen, L., Gong, Y.: Domain and speaker adaptation for Cortana speech recognition. In: ICASSP

    Google Scholar 

  12. Bellegarda, J.R.: Spoken language understanding for natural interaction: the siri experience. In: Mariani, J., Rosset, S., Garnier-Rizet, M., Devillers, L. (eds.) Natural Interaction with Robots, Knowbots and Smartphones, pp. 3–14. Springer, New York (2014). https://doi.org/10.1007/978-1-4614-8280-2_1

    Chapter  Google Scholar 

  13. Google: Google Assistant. https://assisatnt.google.com

  14. Purington, A., Taft, J.G., Sannon, S., Bazarova, N.N., Taylor, S.H.: Alexa is my new BFF: social roles, user satisfaction, and personification of the amazon echo. ACM, 6–11 May 2017. ISBN 978-1-4503-4656-6/17/05

    Google Scholar 

  15. Lopez, G., Quesada, L., Guerrero, L.A.: Alexa vs Siri vs Cortana vs Google assistant: a comparison of speech-based natural user interfaces. Conference Paper, January 2018

    Google Scholar 

  16. Kepuska, V., Bohouta, G.: Next generation of virtual personal assistants (Microsoft Cortana, Apple Siri, Amazon Alexa and Google Home). In: IEEE Conference (2018)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Sardar Patel Institute of Technology, Mumbai, 400058, India

    Amrita S. Tulshan & Sudhir Namdeorao Dhage

Authors
  1. Amrita S. Tulshan
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  2. Sudhir Namdeorao Dhage
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Corresponding author

Correspondence to Amrita S. Tulshan .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology and Management, Kerala, India

    Sabu M. Thampi

  2. Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA

    Oge Marques

  3. Department of Electrical and Computer Engineering, Ryerson University, Toronto, ON, Canada

    Sri Krishnan

  4. Department of Computer Science and Information Engineering, Providence University, Taichung, Taiwan

    Kuan-Ching Li

  5. University of Naples Federico II, Naples, Italy

    Domenico Ciuonzo

  6. Electrical Engineering Department, Indian Institute of Technology Patna, Patna, India

    Maheshkumar H. Kolekar

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Tulshan, A.S., Dhage, S.N. (2019). Survey on Virtual Assistant: Google Assistant, Siri, Cortana, Alexa. In: Thampi, S., Marques, O., Krishnan, S., Li, KC., Ciuonzo, D., Kolekar, M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2018. Communications in Computer and Information Science, vol 968. Springer, Singapore. https://doi.org/10.1007/978-981-13-5758-9_17

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  • DOI: https://doi.org/10.1007/978-981-13-5758-9_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-5757-2

  • Online ISBN: 978-981-13-5758-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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