Jikun Yin

MSc Integrated Industrial Design at Loughborough University
BA Product Design (Wuhan University of Science and Technology, China)

Pronouns: She/her
  • Doctoral Researcher

My PhD research explores how inclusive design can bridge the digital divide by addressing the unique challenges older individuals face when navigating the internet,  such as their perception of online security and threats, managing online identities, and  protecting their information security. By developing inclusive and flexible digital training tools to empower older adults with the knowledge and confidence to navigate the digital world safely and effectively.

This research falls under the fields of ‘digital inclusion’ and ‘Human-Computer Interaction (HCI)’, with ‘universal design’, ‘User Experience (UX) Theory’, ‘Technology Acceptance Model (TAM)’, and ‘Protection Motivation Theory (PMT)’ to examine how design strategies and interventions can improve older adults’ digital confidence and skills.

Older adults as a heterogenous group, exhibiting significant variations in digital skill levels. Making standardized training content insufficient to meet everyone’s needs.

Additionally, fully online methods may not be senior-friendly.

The exploratory study has revealed that older adults’ digital skills are shaped by prior training, with many possessing basic computer skills but lacking broader digital literacy.

This gap often leads to confusion about key ICT concepts, limiting their ability to access essential online services. Additionally, older adults tend to avoid sensitive activities like online banking due to security concerns. 

Title of thesis: Countering design exclusion: Increasing the acceptability of new technologies for older people in the workplace

By combining qualitative interviews and online environment simulation test with older adults to assess their digital skills, perception to safety concepts, and their knowledge gaps. Currently, I am starting a user study of digital literacy assessments to identify barriers and potential improvements

Supervisors: Dr Emilene Zitkus, Dr Martin Maguire.