Analyzing the adoption and diffusion of voice-enabled smart-home systems: empirical evidence from Thailand

Ethics and acceptance of smart homes for older adults

“…38 Many researches have used these models which include. [39][40][41][42][43][44][45][46][47][48][49][50][51] Capability Approach Framework (CA) is designed to describe an individual's use of resources to improve their daily life. 52 However, this model was used by Nikou et al, to investigate the adoption of digital health care technology among older adults.…”

“…Several studies show that older adults generally have a positive attitude toward the technologies mentioned in Table 2 21,[57][58][59][60][61] but they raise ethical and technical concerns, such as: privacy, 9,20,43,[62][63][64][65][66][67][68][69] autonomy, 20,62,63,68 beneficence, 20,63,68 loss of social contact, 20,63,65,70 ease of use, 9,70 control over technology, 63,65,71 support, 63 training or ability to learn, 9,63,70,72 lack of awareness, 70,73 personalization 74 and reliability. 21,64,68 Table 1.…”

“…Privacy is one of the major concerns voiced by participants in various studies. 19,21,43,64,66,77,99,100 In a focus group study about commercially available assistive technology products, participants raised a concern about the technologies monitoring them 24/7. 64 They considered it as a loss of dignity in their own home, even though they acknowledged that the purpose of the technology was to ensure their safety and security.…”

Usability Evaluation of Artificial Intelligence-Based Voice Assistants: The Case of Amazon Alexa

“…A comprehensive research model is proposed by authors in [ 32 ] based on the Perceived Value Theory, and it is found that perceived usefulness and enjoyment have a significant impact on the usage intention. A simultaneous acceptance and diffusion analysis of voice-assistants is done by authors in [ 33 ] for exploring the usage scenario of these devices. While the acceptance is explained by Technology Acceptance Model, the diffusion scenario is portrayed by the Multivariate Probit Model.…”

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

“…Further, the works in [25][26] also consider the utilitarian and hedonic aspects for explaining the usage of the voice-assistants. A diffusion analysis of voice-assistants among end-consumers is done by authors in [27] using a multivariate probit model that shows that the acceptance and usage of these devices vary with consumer age. As evident from the current literature review results related to the voice-assistant adoption fewer studies report the use of continuance usage as the dependent variable, when compared to the adoption intention.…”