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The impact of voice assistant home devices on people with disabilities: A longitudinal study

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  • Vieira, Alessandro Diogo
  • Leite, Higor
  • Volochtchuk, Ana Vitória Lachowski

Abstract

The impact of technological innovations in our lives has never been greater, for instance the use of assistive technology and artificial intelligence has resulted in smart devices, such as voice assistants (VA). However, empirical studies that understand the impact of VA technology on the individual and collective well-being of vulnerable people are still scarce. Thus, by conducting a series of longitudinal studies within the ecosystem of physically and visually impaired people, our study aims to respond to this void in the literature. Over a period of 30 weeks, we carried out 5 longitudinal case studies, and collected data from semi-structured interviews (n = 25), informal conversations (n = 23), observations (n = 25) and a focus group with participants (n = 8), as well as secondary data collected from the VA device reports. Our results identified themes related to the impact of technology on well-being, challenges and improvements, relationship building, privacy concerns and a gap between technology and inclusiveness. Furthermore, under the transformative service lens, we developed a framework that illustrates how interactions between people with disability and the VA technology co-design and co-create value for individual and collective well-being.

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  • Vieira, Alessandro Diogo & Leite, Higor & Volochtchuk, Ana Vitória Lachowski, 2022. "The impact of voice assistant home devices on people with disabilities: A longitudinal study," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
  • Handle: RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522004826
    DOI: 10.1016/j.techfore.2022.121961
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    2. Kumar, Anand & Bala, Pradip Kumar & Chakraborty, Shibashish & Behera, Rajat Kumar, 2024. "Exploring antecedents impacting user satisfaction with voice assistant app: A text mining-based analysis on Alexa services," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    3. Badghish, Saeed & Shaik, Aqueeb Sohail & Sahore, Nidhi & Srivastava, Shalini & Masood, Ayesha, 2024. "Can transactional use of AI-controlled voice assistants for service delivery pickup pace in the near future? A social learning theory (SLT) perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

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