## 3 Systematic Review Results
### Digital Divide
[PERSON] and [PERSON] [47] further explored this tension, documenting cases where individuals grapple with balancing the usefulness of familiar devices with concerns about their complexity or security. These insights emphasise the need for technologies that are not only accessible and user-friendly but also address the social and emotional considerations that can influence adoption among older adults. [PERSON] et al. [43] delved deeper into the psychological barriers associated with the digital divide. Their research identified internalised ageism as a significant factor contributing to technology non-use. They further categorised this phenomenon into four distinct subcategories, highlighting the complex ways social cues and technology design can discourage older adults. Internalised ageism erodes confidence in one's ability to learn and benefit from technology, ultimately leading to low engagement. This emphasises the critical need for design that not only addresses physical limitations but also combats negative societal messages about ageing and technology use. Unfortunately, even when design guidelines exist, their implementation remains inconsistent. [PERSON] and [PERSON]'s [48] study analysed 43 design recommendations across 22 mobile applications, revealing a concerning reality. Only 23% of the apps were deemed truly accessible to older adults. Even worse, some apps offered accessibility features that were themselves difficult to access. These findings underscore the importance of moving beyond the creation of design principles to ensure their consistent and effective application. Several studies propose solutions to bridge the digital divide among older adults. [PERSON] at al. [43] advocated for inclusive learning environments that cater to diverse learning styles and comfort levels. [PERSON] et al. [49] envisioned adaptive AI-powered solutions that can personalise the user experience based on individual digital literacy levels. [PERSON] et al. [41] highlighted the importance of transparent and easily maintainable technologies to address concerns about complexity and security. Research consistently challenges the stereotype of a homogenous older adult population with uniform needs. [PERSON] et al. [50] and [PERSON] et al. [51] emphasised the need for targeted interventions and product segmentation to accommodate diverse demographics and health conditions. [PERSON] et al. [52] illustrated this point by demonstrating how reasons for non-adoption of eHealth solutions differ even among older adults with chronic conditions. [PERSON] and [PERSON] [53] introduced the influence of physical and mental health on technology adoption. Their research suggested that individuals with psychological challenges may not only adopt technologies later in life but also have different perceptions of their usefulness. [PERSON] et al. 's [51] meta-analysis shed light on the complex interplay between demographics and technology acceptance factors. Their findings revealed that factors like social influence and perceived usefulness may have varying impacts depending on age, gender, and even regional cultural contexts. For example, social influence appears to be more significant for older adults in Asian cultures compared to their European counterparts, where perceived ease of use takes greater precedence. [PERSON] et al. [54] supported this notion by suggesting that collectivist cultures, where social pressure plays a stronger role, can influence adoption decisions more than individualist cultures. As presented in this subsection, the digital divide goes beyond just access to technology for older adults. It encompasses comfort levels, apprehension towards new technology, and internalised ageism. Usability is crucial, but design must also address psychological factors and combat negative stereotypes. While design principles exist, inconsistent implementation remains a challenge. Solutions like inclusive learning environments and adaptable AI offer promise. However, a one-size-fits-all approach will not work.