Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian...

Area of Science:

• Health Informatics
• Applied Artificial Intelligence
• Consumer Technology Adoption

Background:

• Continuous technological advancements, particularly in Applied Artificial Intelligence (AAI), are overcoming human limitations.
• Smartwatches are emerging as AAI tools, enabling remote medical care access and reducing hospital visits.
• Understanding user adoption and satisfaction is crucial for the successful integration of AI-enabled health devices.

Purpose of the Study:

• To investigate the intention to use, purchase, satisfaction, and word-of-mouth for AI-enabled smartwatches in Ghana.
• To examine the influence of factors like perceived ease of use, usefulness, credibility, self-efficacy, and cost on adoption.
• To explore the relationship between user experience, perceived value, and positive recommendations.

Main Methods:

• A multi-study research approach was employed, surveying 550, 320, and 170 respondents via Google Forms through social media.
• The study integrated the Technology Acceptance Model (TAM) and Stimulus-Organism-Response (S-O-R) theories.
• Key factors assessed included Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Perceived Credibility (PC), Perceived Self-Efficacy (PSE), and Perceived Financial Cost (PFC).

Main Results:

• Perceived Ease of Use (PEOU), Perceived Usefulness (PU), Perceived Credibility (PC), Perceived Self-Efficacy (PSE), and Perceived Financial Cost (PFC) significantly influenced the intention to adopt AI-enabled smartwatches.
• Adoption intention directly correlated with the actual purchase of the devices.
• Device quality, service level, usage experience, and perceived value were key drivers of customer satisfaction and positive word-of-mouth.

Conclusions:

• AI-enabled smartwatches show significant potential for adoption in Ghana, influenced by user perceptions and cost-benefit analysis.
• Satisfied users become advocates, promoting the technology through word-of-mouth, highlighting the importance of device quality and user experience.
• This research underscores the role of AI-enabled smartwatches as 'e-doctors', facilitating accessible healthcare.