Exploring the Determinants of Users’ Continuance Usage Intention of Smart Voice Assistants

Pal, Debajyoti; Babakerkhell, Mohammad Dawood; Zhang, Xiangmin

doi:10.1109/access.2021.3132399

Cited by 34 publications

(26 citation statements)

References 82 publications

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“…The significant relationship between utilitarian value and the behavioral intention was supported in previous research (Kim and Oh, 2011;Venkatesh and Brown, 2001). Utilitarian attitude as one of the sub-measure of attitude was revealed to affect the continuance usage of smart voice assistants (Pal et al, 2021). Utilitarian benefits were shown to positively shape the usage of in-home assistants (McLean and Osei-Frimpong, 2019).…”

Section: Main Pathssupporting

confidence: 63%

“…Former works also supported the relationship between hedonic value and continuance intention (Kim and Oh, 2011;Venkatesh & Brown, 2001). Hedonic attitude as one of the sub-measure of attitude was verified to influence continuance usage of smart voice assistants (Pal et al, 2021). Utilitarian benefits were demonstrated to be a significant precursor to the usage of in-home assistants (McLean and Osei-Frimpong, 2019).…”

Section: Main Pathsmentioning

confidence: 75%

“…To intensively review research on user behavior, this work also reflected keywords such as behavioral intention, continuance intension, influencing factor, and affecting factor. Numerous studies have analyzed the behavior of users of AIPA (McLean andOsei-Frimpong, 2019 Nguyen et al, 2021;Pal et al, 2021). Several works have identified the main factors of AI users' behaviors from the perspective of an IS (Nguyen et al, 2019(Nguyen et al, , 2021.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Some studies employed utility and pleasure in explaining the behavior of personal assistant users and analyzed them. Pal et al (2021) examined the drivers of users' continuance usage intention of smart voice assistants. They provided evident support that trust, satisfaction, slowness of adoption, skepticism, user engagement, and attitude are the significant enablers of continuance usage intention in the voice assistant context.…”

Section: Background and Related Workmentioning

confidence: 99%

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Continuance intention to use artificial intelligence personal assistant: type, gender, and use experience

Jo¹

2022

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Section: Main Pathssupporting

confidence: 63%

Section: Main Pathsmentioning

confidence: 75%

Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

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Continuance intention to use artificial intelligence personal assistant: type, gender, and use experience

Jo¹

2022

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“…They are able to provide various types of personalized services due to their capability of striking human-like conversations. The AI attributes possessed by these devices make these unique and differentiate their acceptance scenario from other technology use-cases [ 26 , 27 , 28 ]. The first reason due to which humans interact with VCED's is due to their functional aspects.…”

Section: Literature Reviewmentioning

confidence: 99%

The effect of trust and its antecedents towards determining users’ behavioral intention with voice-based consumer electronic devices

Pal

Roy

Arpnikanondt

et al. 2022

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Expectations and beyond: The nexus of AI instrumentality and brand credibility in voice assistant retention using extended expectation‐confirmation model

Ghazali,

Mutum,

Lun

2023

J of Consumer Behaviour

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AI‐based voice assistants (AIVA) are capable of interpreting human speech and responding with useful information, aiding with tasks, and controlling other devices. The usage of these AIVAs has grown significantly worldwide. Despite this growth, studies on user behavior related to continued usage intention of AIVAs and effects on the long‐term commercial sustainability of brands, remain low. What is less understood is the potential of AI instrumentality attributes and brand credibility components in provoking shifts in post‐use behavior of AIVAs. This study proposes a model which expands on the Expectation‐Confirmation Model for user continuance behavior of AIVAs, by integrating user's technology related traits, AI instrumentality attributes and brand credibility. To verify the research hypotheses, the study employed partial least square—structural equation modelling, based on 281 validated responses of a survey. This study highlights the significance of Optimism, Innovativeness, and Discomfort for post‐adoption confirmation. Higher post‐adoption confirmation is strongly associated with perceived intelligence, anthropomorphism, information quality, and system quality. Anthropomorphism and information quality are key factors for brand expertise, while anthropomorphism and system quality are significant for brand trustworthiness. The study confirms that brand expertise and trustworthiness lead to post‐use satisfaction and use continuance intention. Understanding the antecedents of satisfaction and continuance intention extends the existing literature on AIVAs and provides valuable insights for academics and practitioners alike. Some implications for researchers and managers are discussed.

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Exploring the Determinants of Users’ Continuance Usage Intention of Smart Voice Assistants

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 34 publications

References 82 publications

Continuance intention to use artificial intelligence personal assistant: type, gender, and use experience

Continuance intention to use artificial intelligence personal assistant: type, gender, and use experience

The effect of trust and its antecedents towards determining users’ behavioral intention with voice-based consumer electronic devices

Expectations and beyond: The nexus of AI instrumentality and brand credibility in voice assistant retention using extended expectation‐confirmation model

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