The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?

Balakrishnan, Janarthanan; Abed, Salma S.; Jones, Paul

doi:10.1016/j.techfore.2022.121692

Cited by 79 publications

(62 citation statements)

References 91 publications

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“…The seventh hypothesis (H7) of the study is whether attitude has a positive influence on BI to use SHTs. The study found a significant positive impact of attitude on BI to use SHTs, consistent with past studies [69,70]. This present study confirms the importance of attitude in predicting BI to use SHTs among elderly people in Saudi Arabia because when the elderly have a positive attitude towards SHTs, they are more expected to increase their intention to use SHTs.…”

Section: Findings Of the Direct Hypothesessupporting

confidence: 91%

“…This suggests that individuals with an overall positive attitude toward behavioural intention to use SHTs are more likely to accept SHTs than those with a negative attitude toward the technologies. Some studies have found that the explanatory power of BI increases when the attitude is included in the UTAUT model [ 69 , 70 ]. This present study aims to investigate the effect of attitude and BI to use SHTs among elderly people in Saudi Arabia.…”

Section: Research Framework and Hypothesesmentioning

confidence: 99%

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Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia

2022

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In recent years, smart home technologies have offered opportunities for elderly people to manage their daily health-related activities. Despite the advancement in smart home technology (SHT), the level of end-user acceptance among elderly people is still low. This study proposes an SHT framework by examining the determinants of elderly behavioural intention (BI) to use smart home technologies by extending the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This study uses the quantitative approach to survey about 486 elderly people in Saudi Arabia, and it applies the Partial Least Square Structural Equation Model (PLS-SEM) technique to perform the data analysis. Findings reveal that culture influence and technology awareness are significant factors in determining the BI to use SHT among elderly people. The study also finds that attitude mediates the relationships between performance expectancy, effort expectancy, and behavioural intention. We find that region and education moderate the relationships between culture influence, technology awareness, and behavioural intention. This study theoretically extends the UTAUT theory by including external constructs: culture influence, technology awareness, attitude, education, and region.

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Section: Findings Of the Direct Hypothesessupporting

confidence: 91%

Section: Research Framework and Hypothesesmentioning

confidence: 99%

Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia

2022

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“…UTAUT, which has yielded rich research results and a wide range of applications, includes four core variables that affect intention to use and use behavior, namely, performance expectancy, effort expectancy, social influence and facilitating conditions. However, judging from the current research progress, the impact of these four core variables on users' intentions to use varies in degree across industries and scenarios ( 29 ). Therefore, the application of the UTAUT model needs to be combined with the environmental characteristics to obtain a targeted rule of user intention.…”

Section: Conceptual Model and Hypothesis Developmentmentioning

confidence: 99%

Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model

Chen

Wang²,

Zhou³

et al. 2023

Front. Public Health

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IntroductionAs the proportion of the world's elderly population continues to increase, wearable devices can provide ideas for solving a series of problems caused by population aging. Therefore, it is of great significance for the development of intelligent elderly care and the improvement of the quality of elderly care services to explore the factors that influence the intention of elderly users to accept wearable devices.MethodsAn improved unified theory of acceptance and use of technology (UTAUT) model is constructed from the perspective of elderly individuals, and new parameters are added, including four factors related to wearable devices, including performance expectancy, perceived cost, hedonic value and aesthetic appeal, and three factors related to elderly individuals, including personal physiological conditions, health anxiety and personal innovativeness in information technology. The data analysis was accomplished with the partial least square regression structural equation modeling.ResultsThe findings of this study revealed that performance expectancy, perceived cost, hedonic value and aesthetic appeal all have significant impact on elderly users' intention to use wearable devices. Furthermore, personal innovativeness in information technology, personal physiological condition, and intention to use all have significant impact on elderly users' actual usage behavior of wearable devices. However, there is no obvious relationship between health anxiety and actual usage behavior.DiscussionElderly adults' attention to wearable devices plays an important role in the development of the wearable device-related industry chain, which provides management suggestions for stakeholders.

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“…Perceived intelligence Autonomous vehicles are competent in providing driving services (Bartneck et al, 2009;Balakrishnan et al, 2022) Autonomous vehicles exhibit responsibility during driving Autonomous vehicles are knowledgeable during driving Perceived anthropomorphism Autonomous vehicles can be humanlike (Bartneck et al, 2009;Balakrishnan et al, 2022) Autonomous vehicles can be conscious of their actions…”

Section: Construct Items Referencesmentioning

confidence: 99%

A study on psychological determinants of users' autonomous vehicles adoption from anthropomorphism and UTAUT perspectives

Tian

Wang²

2022

Front. Psychol.

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As the autonomous vehicles technology gradually enters the public eye, understanding consumers' psychological motivations for accepting autonomous vehicles is critical for the development of autonomous vehicles and society. Previously, researchers have explored the determinants of fully autonomous vehicles but the relevant research is far from enough. Moreover, the relationship between anthropomorphism and users' behavior has been ignored to a large extent. Therefore, this study aim to fill the gap by using anthropomorphism and the unified theory of acceptance and use of technology (UTAUT) to explore how system attributes (i.e., perceived anthropomorphism, perceived intelligence) and UTAUT attributes influence consumers' acceptance behavior. The data were collected via questionnaire survey conducted in Beijing, China, which can be a promising early adopter of AVs. Structural equation modeling was used to analyze the data. The results reveal that perceived anthropomorphism and perceived intelligence have a direct positive influence on the adoption of AVs; performance expectancy, effort expectancy, and facilitating conditions have an indirect positive influence on intention to adopt AVs. Also, this research contributes to the literature by enriching studies on psychological determinants of autonomous vehicles' adoption by taking an initial step to highlight anthropomorphism perceptions. This can provide managerial implications for policy-makers and businesses on how to effectively allocate resources to enhance autonomous vehicle adoption.

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The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?

Cited by 79 publications

References 91 publications

Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia

Factors influencing the elderly’s behavioural intention to use smart home technologies in Saudi Arabia

Research on elderly users' intentions to accept wearable devices based on the improved UTAUT model

A study on psychological determinants of users' autonomous vehicles adoption from anthropomorphism and UTAUT perspectives

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