π Authors: Chorong Park & Rua M. Williams
π Institution: Purdue University
π Keywords: UX Design, Accessibility, Aging, Kansei Engineering, Inclusive Design
Older adults face frustration, anxiety, and loss of autonomy when using consumer technology due to design flaws that do not account for age-related changes (e.g., vision, motor control, cognitive shifts).
This study applies Kansei Engineering (KE)βa user emotion-driven design methodologyβto identify barriers older adults face when using technology and proposes UX strategies to transform these negative experiences into confidence, independence, and usability.
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Core Finding: Poor UX design disempowers older adults, leading to disengagement from technology.
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Industry Application: Fixing accessibility flaws benefits all users, enhances retention, and aligns with accessibility compliance.
π Real-World Data Collection:
π Qualitative Analysis:
π Key Metrics:
Older adults struggle with seven primary UX challenges:
1οΈβ£ Complex Navigation & UI Overload: Non-intuitive menus and hard-to-find features.
2οΈβ£ Frequent & Unpredictable Updates: Forced changes disrupt learned workflows.
3οΈβ£ Touchscreen Sensitivity Issues: Low conductivity, tremors, and fine motor control make touch gestures unreliable.
4οΈβ£ Password Management Struggles: Memory and cognitive challenges create friction.
5οΈβ£ Automated & Non-Human Support: Chatbots and AI-driven help desks fail to address accessibility needs.
6οΈβ£ Lack of Clear Feedback & Undo Options: Fear of mistakes makes users hesitant to explore.
7οΈβ£ Social Stigma in Tech Support: Older adults often avoid asking for help due to fear of being perceived as incompetent.
πΉ Proposed UX Fixes:
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Touchscreen Calibration for Older Users β Reduce misinterpreted gestures.
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Reversible Actions & Undo Features β Remove fear of βbreakingβ technology.
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Higher Contrast & Larger UI Elements β Improve visibility and ease of interaction.
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Alt-Text & Guided Pop-Ups β Simplify user education without cluttering interfaces.
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User-Controlled Interface Updates β Give users a choice to adapt gradually.
πΉ Business Value:
π Market Expansion: 1 in 6 people will be over 65 by 2050 β Designing for aging users drives long-term engagement.
π Customer Retention: Reducing frustration lowers churn rates and boosts product adoption.
π Compliance & Risk Reduction: Future-proofs products for accessibility laws (WCAG 2.0, ADA, A11y).
π Universal Design Benefits All Users: Design improvements for older adults enhance usability for all demographics (e.g., reducing cognitive overload).
π‘ Product Managers: Prioritize user-centered accessibility design in upcoming updates.
π‘ UX Designers: Implement Kansei Engineering to measure emotional user responses during usability testing.
π‘ AI & Support Teams: Optimize customer service AI for accessibilityβolder adults struggle with automated systems.
π‘ Marketing & Growth Teams: Recognize aging users as a key growth demographic rather than a niche market.
π Current technology is failing older adults by neglecting age-related usability challenges.
π Industry professionals have an opportunity to lead in accessibility innovation and build user-friendly, emotionally intelligent products.
π Applying Kansei Engineering principles can transform UX from frustration to empowerment, benefiting all usersβnot just older adults.
π Next Steps: How can we integrate these insights into your companyβs UX strategy? Letβs connect.
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As a lead researcher and practitioner, my contributions have focused on enhancing accessibility, user experience, and autonomy for older adults through evidence-based design research.
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Principal Investigator: Led a multi-year study examining older adultsβ emotional experiences with technology.
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Ethical Compliance: Designed and secured Institutional Review Board (IRB) approval (Purdue IRB-2022-1333) for human-centered research.
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Cross-Disciplinary Approach: Applied principles from Kansei Engineering, UX Research, and Accessibility Design to identify user pain points.
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Hands-On Technology Support: Provided over 500 hours of direct tech assistance to 500+ older adults over 2.5 years.
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Human-Centered Data Collection: Conducted 20 semi-structured interviews and analyzed 500+ hours of field notes to capture authentic user frustrations and needs.
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Thematic Analysis Expert: Led three rounds of qualitative coding using Interpretive Phenomenological Analysis (IPA) and Reflexive Thematic Analysis (RTA).
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Identified Key UX Barriers:
4. Industry-Relevant Solutions & Recommendationsβ Proposed UX Design Fixes:
β Strategic Business Value:
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