Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants

Hu, Qian; Lu, Yaobin; Pan, Zhao; Gong, Yeming; Yang, Zhiling

doi:10.1016/j.ijinfomgt.2020.102250

Cited by 159 publications

(126 citation statements)

References 83 publications

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“…Minsky (1968, p. v) defines AI as the "the science of making machines do things that would require intelligence if done by men". The emergence of voice assistants has enabled organisations to develop systems and processes where human interaction with AI has become the norm (Bawack et al, 2021;Hu et al, 2021). The first voice assistant titled "Shoebox" was introduced by IBM at the Seattle world fair in 1962.…”

Section: Introductionmentioning

confidence: 99%

Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model

et al. 2021

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This study investigates the factors that build resistance and attitude towards AI voice assistants (AIVA). A theoretical model is proposed using the dual-factor framework by integrating status quo bias factors (sunk cost, regret avoidance, inertia, perceived value, switching costs, and perceived threat) and Technology Acceptance Model (TAM; perceived ease of use and perceived usefulness) variables. The study model investigates the relationship between the status quo factors and resistance towards adoption of AIVA, and the relationship between TAM factors and attitudes towards AIVA. A sample of four hundred and twenty was analysed using structural equation modeling to investigate the proposed hypotheses. The results indicate an insignificant relationship between inertia and resistance to AIVA. Perceived value was found to have a negative but significant relationship with resistance to AIVA. Further, the study also found that inertia significantly differs across gender (male/female) and age groupings. The study's framework and results are posited as adding value to the extant literature and practice, directly related to status quo bias theory, dual-factor model and TAM.

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Section: Introductionmentioning

confidence: 99%

Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model

et al. 2021

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“…We tested them on a five-point Likert scale. We adopted measures for sensing intelligence and acting intelligence from Hu et al (2021) . We adopted measures for cognitive empowerment from Christens (2012) and Aleksander (2017) .…”

Section: Methodsmentioning

confidence: 99%

“…Additionally, Hu et al (2021) suggest that sensing for robots and other smart products usually refers to the extent to which intelligent personal assistants (IPAs) can sense the environment to perform assigned tasks. Better perception reduces the driver’s physical burden and stress by creating a more accurate perception of the environment, thus reducing unnecessary hassles by simplifying the driving process.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

An Empirical Study on Drivers’ Willingness to Use Automatic Features of Intelligent Vehicles: A Psychological Empowerment Perspective

Gupta

Zhou

2021

Front. Psychol.

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With the advancement in AI and related technologies, we are witnessing more remarkable use of intelligent vehicles. Intelligent vehicles use smart automatic features that make travel happier, safer, and efficient. However, not many studies examine their adoption or the influence of intelligent vehicles on user behavior. In this study, we specifically examine how intelligent vehicles’ sensing and acting abilities drive their adoption from the lens of psychological empowerment theory. We identify three dimensions of users’ perceived empowerment (perceived cognitive empowerment, perceived emotional empowerment, and perceived behavioral empowerment). Based on this theory, we argue that product features (sensing and acting in intelligent vehicles) empower users to use the product. Our proposed model is validated by an online survey of 312 car owners who are familiar with driving conditions, the results of this study reveal that driver’s perceived empowerment is vital for using automatic features of intelligent vehicles. Theoretically, this study combines the concept of empowerment with the intelligent-driving scenario and reasonably explains the mechanism of the intelligence of vehicles on users’ behavior intention.

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“…Generally, the intelligent personal assistant is considered to be a software agent that provides services and solutions for individuals. As the derived concept of software agent includes the intelligent agent, natural language processing and machine learning are applied in the intelligent personal assistant [9,28]. According to Hauswald et al [29], the users input the contextual information, voices, and images as the specific conditions to raise the requests; this enables the IPAs to give answers in natural language, making recommendations and performing actions [30].…”

Section: Intelligent Personal Assistantmentioning

confidence: 99%

“…Nowadays, intelligent personal assistants (IPAs) have become popular and common among premiumtier smartphones. At present, there are around 43 million devices installed with IPA from leading vendors of Chinese origin, such as Baidu and iFlytek, and this number will rise to 1.2 billion in 2021 [9,10]. Today, when people think of IPAs, it is clear how much artificial intelligence (AI) can help human beings: by navigating the fastest route based on the current traffic conditions, providing the weather forecast for the following days, suggesting songs from KKBox or Spotify, recommending a shopping list based on the purchasing history, and even the next travel destination can be suggested [11,12].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Determinants for Adoption of Intelligent Personal Assistant: An Empirical Study

Sun

2021

Applied Sciences

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With the accelerating advances in artificial intelligence (AI) technologies, the rising demand for the intelligent personal assistant is expected to rapidly increase in the following decades. As customer loyalty has become a critical element in gaining a competitive advantage and many marketers pay great attention to it, this research aims to explore the factors that directly affect customer loyalty toward the intelligent personal assistant. The main motivation is to investigate and identify the direct effects that variables such as customer innovativeness and perceived value have on customer loyalty. Additionally, both product knowledge and corporate image will be examined as moderators. The results obtained demonstrate that perceived value has a positive influence on customer loyalty. Furthermore, product knowledge moderates the influence of functional and hedonic innovativeness on customer satisfaction. The study’s main contributions provide a better understanding of customer loyalty. This research aims to be viewed as a specific guide to provide effective practices that companies should implement to help them reallocate resources appropriately and enhance customer value creation. The results indicate that the higher the level of customer perceived value, the better the customer loyalty will be. The findings represent that corporate image has a positive moderating effect on the influence of customer innovativeness on perceived value. This study draws on the outcomes of administrative suggestions and recommends a few observational strategies to improve the monetary administration in the intelligent personal assistant industry.

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Can AI artifacts influence human cognition? The effects of artificial autonomy in intelligent personal assistants

Cited by 159 publications

References 83 publications

Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model

Enablers and Inhibitors of AI-Powered Voice Assistants: A Dual-Factor Approach by Integrating the Status Quo Bias and Technology Acceptance Model

An Empirical Study on Drivers’ Willingness to Use Automatic Features of Intelligent Vehicles: A Psychological Empowerment Perspective

Analyzing Determinants for Adoption of Intelligent Personal Assistant: An Empirical Study

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