User Perceptions of an Intelligent Personal Assistant's Personality

Lopatovska, Irene; Korshakova, Elena; Brown, Diedre; Li, Yiqiao; Min, Jie; Pasiak, Amber; Kang, Zheng

doi:10.1145/3406522.3446018

Cited by 14 publications

(3 citation statements)

References 49 publications

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“…The use of artificial intelligence is being developed in line with the improvement of technology and tasks relating to AI implementations (Saad et al, 2017 ; Yang and Lee, 2019 ; Lopatovska et al, 2021 ). AI implementation in VA consumer devices, also called voice assisted tools, revolves around integrated data in IoT applications.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants

2022

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Virtual Assistants, also known as conversational artificial intelligence, are transforming the reality around us. These virtual assistants have challenged our daily lives by assisting us in the different dimensions of our lives, such as health, entertainment, home, and education, among others. The main purpose of this study is to develop and empirically test a model to predict factors that affect users' behavioral intentions when they use intelligent virtual assistants. As a theoretical basis for investigating behavioral intention of using virtual assistants from the consumers' perspective, researchers employed the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). For this research paper, seven variables were analyzed: performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, habit, and price/value. In order to improve consumer behavior prediction, three additional factors were included in the study: perceived privacy risk, trust, and personal innovativeness. Researchers carried out an online survey with 304 responses. The obtained sample was analyzed with Structural Equation Modeling (SEM) through IBM SPSS V. 27.0 and AMOS V 27.0. The main study results reveal that factors, such as habit, trust, and personal innovation, have a significant impact on the adoption of virtual assistants. However, on the other side, performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, price/value, and perceived privacy risk were not significant factors in the users' intention to adopt this service. This research paper examines the effect of personal innovation, security, and trust variables in relation to the use of virtual assistants. It contributes to a more holistic understanding of the adoption of these intelligent devices and tries to fill the knowledge gap on this topic, as it is an emerging technology. This investigation also provides relevant information on how to successfully implement these technologies.

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Section: Theoretical Frameworkmentioning

confidence: 99%

Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants

2022

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“…According to research undertaken by Lopatovska et al (2021), including Alexa in group projects increased productivity. This was due to timely feedback on the performance of individual students.…”

Section: Literature Reviewmentioning

confidence: 99%

“…According to research undertaken by Lopatovska et al . (2021), including Alexa in group projects increased productivity.…”

Section: Literature Reviewmentioning

confidence: 99%

Metamorphosing traditional pedagogy: examining the transcendent influence of Alexa in catalyzing educational paradigm shifts within rural Indian communities

Darda,

Gupta,

Yadav

2024

IJEM

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PurposeAlexa’s integration in rural primary schools has improved the pedagogy and has created an engaging and objective learning environment. This study investigates the integration, with a specific focus on exploring its various aspects. The impact of Alexa’s on students' English vocabulary, comprehension and public speaking are examined. This study aims to provide insights the teachers and highlight the potential of artificial intelligence (AI) in rural education.Design/methodology/approachThis content analysis study explores the use of Alexa in primary education in rural areas of India. The study focuses on the types of the questions asked by the students and examines the pedagogical implications of these interactions. By analyzing the use of Alexa in rural educational settings, this study aims to contribute to our understanding of how voice assistants are utilized as educational tools in underprivileged areas.FindingsAlexa significantly improved students' English vocabulary, comprehension and public speaking confidence. Alexa increased school enrollment and retention. Virtual voice assistants like Alexa may improve pedagogy and help India’s rural education. This study shows AI improves rural education.Research limitations/implicationsThe study only covers rural India. Self-reported data and observations may bias the study. The small sample size may underrepresent rural educational institutions in India.Originality/valueAlexa is used to study rural India’s primary education. Voice assistants in rural education are understudied. The study examines Alexa’s classroom use, student questions, and policy and teacher education implications. AI’s education transformation potential addresses UNESCO’s teacher shortage. This novel study examines how AI can improve rural education outcomes and access.

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Social Robots in Learning Experiences of Adults with Intellectual Disability: An Exploratory Study

Mitchell

Sitbon

Balasuriya

et al. 2021

Human-Computer Interaction – INTERACT 2021

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User Perceptions of an Intelligent Personal Assistant's Personality

Cited by 14 publications

References 49 publications

Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants

Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants

Metamorphosing traditional pedagogy: examining the transcendent influence of Alexa in catalyzing educational paradigm shifts within rural Indian communities

Social Robots in Learning Experiences of Adults with Intellectual Disability: An Exploratory Study

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