SafeStep: AI-powered Travel Assistance for Elderly People with Frailty or Dementia
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Abstract (arXiv)
More than a million people in the UK suffer from frailty or dementia, which severely compromise their ability to travel in urban environments. This paper presents SafeStep, an AI-driven travel system that assists elderly users with their journeys. At the core of SafeStep is a novel travel graph representation, which integrates route planning with predictive modelling. For each stage of a journey, the system (i) generates personalized failure scenarios using a combi-nation of LLMs and the Anticip8 behavioral prediction engine, (ii) proposes targeted interventions, and (iii) estimates the impact of interventions on out-come probabilities. This enables SafeStep to select interventions that maximize the likelihood of the person reaching their destination. SafeStep was evaluated through experiments on travel graph generation and a field study involving 26 real-world journeys. Results showed that combining Anticip8 for failure pre-diction with GPT-based models for intervention evaluation yields the most re-liable performance. User feedback indicated that SafeStep improves confidence and perceived safety during travel, although interface usability needs to be im-proved for the target demographic. In the future, we would like to improve and release SafeStep. The AI system that was developed for SafeStep could be ap-plied in other areas, such as mental health, career coaching and addiction treatment.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 19 references that are in the map. First posted on arXiv 23 Jul 2026.
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References · 8
- 2018Human Action Recognition and Prediction: A Surveycited by 226
- 2023AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?cited by 79
- 2025Finetuning LLMs for Human Behavior Prediction in Social Science Experimentscited by 35
- 2024Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Modelscited by 21
- 2023GG-LLM: Geometrically Grounding Large Language Models for Zero-shot Human Activity Forecasting in Human-Aware Task Planningcited by 13
- 2024TR-LLM: Integrating Trajectory Data for Scene-Aware LLM-Based Human Action Predictioncited by 5
- 2024Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Promptscited by 5
- 2024Supporting the Digital Autonomy of Elders Through LLM Assistancecited by 1
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