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Exploring User Experience with Voice Assistants: Impact of Prior Experience on Voice Assistants

Authors:

Lawal Ibrahim Dutsinma Faruk,

Suree Funilkul,

Pornchai Mongkolnam,

Prateep Puengwattanapong,

Debajyoti PalAuthors Info & Claims

IAIT '23: Proceedings of the 13th International Conference on Advances in Information Technology

Article No.: 11, Pages 1 - 9

https://doi.org/10.1145/3628454.3629470

Published: 06 December 2023 Publication History

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Abstract

Voice assistants (VA) like Siri, Alexa, Cortana, and Google Assistant are on the rise, and are currently integrated into smartphones, and dedicated home speakers. They handle various tasks through voice commands, from home automation, emails to calendars.in general we can say the VA change how we interact with technology, hence benefiting diverse users. To reap more benefit of the VA, It is crucial to emphasize user-centric research as a focus, in addition to the technical advancements especially given the abundance of commercial VA. Each VA is unique and different, and the option of which one to acquire still remains a topic for discussion. However, prior experience affect the use of technology but if that also affect VA is still yet uncovered. This study aim to uncover how prior experience affect the user experience while using multiple VA, which ultimately affect their overall preference. Understanding VA user experience is crucial as they integrate further into our lives. Researchers and Manufacturers must consider user preferences for broader adoption, hence this study reveal more insights into how VA cater to both experienced and non-experienced users (First timers).

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Cited By

Dutsinma Faruk LPal DFunilkul SMongkolnam PSathapornvajana SCharoenkitkarn N(2024)User-Centric Design: Adjective Rating Scale for Conversational Agent Interaction2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE61278.2024.10613685(689-695)Online publication date: 19-Jun-2024
https://doi.org/10.1109/JCSSE61278.2024.10613685
Faruk LBabakerkhell MMongkolnam PChongsuphajaisiddhi VFunilkul SPal D(2024)A Review of Subjective Scales Measuring the User Experience of Voice AssistantsIEEE Access10.1109/ACCESS.2024.335842312(14893-14917)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3358423

Index Terms

Exploring User Experience with Voice Assistants: Impact of Prior Experience on Voice Assistants
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

Index terms have been assigned to the content through auto-classification.

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IAIT '23: Proceedings of the 13th International Conference on Advances in Information Technology

December 2023

303 pages

ISBN:9798400708497

DOI:10.1145/3628454

Copyright © 2023 ACM.

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Published: 06 December 2023

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IAIT 2023

IAIT 2023: 13th International Conference on Advances in Information Technology

December 6 - 9, 2023

Bangkok, Thailand

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Overall Acceptance Rate 20 of 47 submissions, 43%

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Cited By

Dutsinma Faruk LPal DFunilkul SMongkolnam PSathapornvajana SCharoenkitkarn N(2024)User-Centric Design: Adjective Rating Scale for Conversational Agent Interaction2024 21st International Joint Conference on Computer Science and Software Engineering (JCSSE)10.1109/JCSSE61278.2024.10613685(689-695)Online publication date: 19-Jun-2024
https://doi.org/10.1109/JCSSE61278.2024.10613685
Faruk LBabakerkhell MMongkolnam PChongsuphajaisiddhi VFunilkul SPal D(2024)A Review of Subjective Scales Measuring the User Experience of Voice AssistantsIEEE Access10.1109/ACCESS.2024.335842312(14893-14917)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3358423

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