## 3 Systematic Review Results
### Acceptance Models  
Acceptance models are pivotal frameworks that are widely debated, expanded, and applied in research. These models offer structured insights into the intricate dynamics influencing individuals' acceptance and adoption of technology across various demographics, including older adults. By leveraging these models, researchers gained valuable tools to explore nuanced factors shaping technology adoption behaviours, thereby enhancing our understanding of how to design and implement technologies tailored to the unique needs and preferences of older populations. The most prominent models are the Technology Acceptance Model (TAM) [28], the Unified Theory of Acceptance and Use of Technology (UTAUT) [29] and the Senior Technology Acceptance Model (STAM) [30]. TAM posits that two main factors drive the acceptance and use of technology: Perceived Usefulness (PU), the belief that a system will improve job performance, and Perceived Ease of Use (PEOU), the belief that a system will be effortless to use. These components are crucial in understanding how individuals adopt and integrate new technologies into their routines [28]. For example, TAM was used both directly as a framework [31] for data collection and as a base for extensions [32]. Extensions introduce new variables with the goal of specialising the basic model for a defined context. However, the generality of the TAM and its own lack of capacity to derive actionable design insights have been criticised [33]. Addressing the limitations of TAM, the authors in [34] proposed recommendations for Ambient Assisted Living (AAL) adoption by older adults through an extension of the model. Similarly, the authors in [35] proposed an extension of TAM focused on smart home technology adoption by older adults. While their technology domains are close, the former includes new constructs primarily based on perceived traits of the technology (e.g., perceived availability, perceived ubiquity) while the latter also uses constructs that describe an individual's emotional response (e.g., social connectedness, anxiety, life quality expectancy). [PERSON] et al. [29] highlighted the significance of understanding user acceptance of IT in organisations and the need for a unified model that integrates the determinants of acceptance from different existing models. The authors reviewed and discussed eight prominent models, including the theory of reasoned action, the technology acceptance model, the motivational model, the theory of planned behaviour, and others. The analysis revealed that the models explain between 17% and 53% of the variance in user intentions to use information technology. The authors formulated a unified model called the Unified Theory of Acceptance and Use of Technology (UTAUT). The authors also highlighted the need for future research to deepen the understanding of dynamic influences, refine measurement constructs, and explore organisational outcomes associated with new technology use. [PERSON] and [PERSON] [30] explored gerontechnology acceptance among elderly Hong Kong Chinese by developing the Senior Technology Acceptance Model (STAM). This novel model builds on established factors like perceived ease of use and usefulness while incorporating social influence specific to this cultural context. Their mixed-method study with surveys and interviews used a 38-item instrument to assess the 11 constructs within STAM, providing a deeper understanding of technology adoption among older adults in Hong Kong. [PERSON] and [PERSON] [36] later addressed the length of the initial STAM questionnaire, arguing it burdened participants. They used data from the 2014 study to condense the questionnaire to a more manageable 14 items. The research presented in [37] explored the acceptance of technology among older people and identified four phases in the process: pre-acceptance/rejection. The first phase is objectification, where individuals assess the usefulness and ease of use of the technology.