From Evidence to Design: Developing an AI-Augmented UX Research Point of View for Digital Wellbeing in Emergency and Public Safety Contexts
arXiv:2605.31146v1 Announce Type: cross Abstract: This paper investigates how User Experience Research (UXR) methods can be combined with AI-supported analysis to develop clearer design direction for digital wellbeing interventions targeting Emergency and Public Safety Personnel (EPSP). EPSP work in high-stress, shift-based environments where cognitive fatigue and unpredictable schedules reduce engagement with conventional wellbeing tools. Using the UXR Point-of-View (PoV) framework, this study applied an AI-supported literature analysis process to identify recurring psychological, behavioural
The increasing prevalence of AI-supported tools and the growing recognition of mental health challenges in high-stress professions, particularly post-pandemic, drive the immediate relevance of this research.
This research provides a framework for integrating AI into UX research for critical public safety contexts, potentially leading to more effective digital wellbeing interventions where conventional methods fail.
The methodology for designing and implementing digital wellbeing tools for emergency and public safety personnel will now incorporate AI-augmented UX research, enabling more targeted and engaging solutions.
- · Emergency and Public Safety Personnel (EPSP)
- · UX Researchers
- · AI-powered analytics providers
- · Digital wellbeing platform developers
- · Developers of generic wellbeing tools
- · Traditional qualitative research firms
AI-augmented UX research becomes a standard practice for developing specialized digital tools in high-stakes environments.
Improved mental health outcomes and reduced operational fatigue for EPSP, leading to enhanced public safety and emergency response capabilities.
The methodology could be extended to other demanding professions, creating a new paradigm for human-centered AI application in occupational health and safety.
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Read at arXiv cs.AI