Paolo Speziali, Diederik M. Roijers, Ann Nowe, Mehrdad Asadi
Wheelchair users frequently face uncertainty about which routes are accessible, and traditional navigation providers have limited functionality for such people with reduced mobility. Existing navigation apps typically tend to optimize on time, but the complexity of such route planning often results in multi-objective problem solving, often requiring computing a set of Pareto-optimal solutions or known user preferences a priori. Our work, WheelTailor, bridges this gap by presenting an interactive AI companion for accessible routing that supports preference elicitation and an efficient search strategy. We demonstrate WheelTailor on top of an AI companion blueprint and present it as a web-based tool operating on realistic, accessible map data.
Speziali, P, Roijers, DM, Nowe, A & Asadi, M 2026, WheelTailor: Collaborative Accessible Route Planner. in M Alimardani, T Lenaerts, A Meyer-Vitali, A Nowe, J Vennekens & S Wang (eds), HHAI 2026 - Proceedings of the 5th International Conference on Hybrid Human-Artificial Intelligence, HHAI 2026. Frontiers in Artificial Intelligence and Applications, vol. 423, IOS Press, pp. 460-463, The 5th International Conference on Hybrid Human-Artificial Intelligence, Brussel, Belgium, 8/07/26. https://doi.org/10.3233/FAIA260533
Speziali, P., Roijers, D. M., Nowe, A., & Asadi, M. (2026). WheelTailor: Collaborative Accessible Route Planner. In M. Alimardani, T. Lenaerts, A. Meyer-Vitali, A. Nowe, J. Vennekens, & S. Wang (Eds.), HHAI 2026 - Proceedings of the 5th International Conference on Hybrid Human-Artificial Intelligence, HHAI 2026 (pp. 460-463). (Frontiers in Artificial Intelligence and Applications; Vol. 423). IOS Press. https://doi.org/10.3233/FAIA260533
@inproceedings{df203434630a428faa91cc790383a0b1,
title = "WheelTailor: Collaborative Accessible Route Planner",
abstract = "Wheelchair users frequently face uncertainty about which routes are accessible, and traditional navigation providers have limited functionality for such people with reduced mobility. Existing navigation apps typically tend to optimize on time, but the complexity of such route planning often results in multi-objective problem solving, often requiring computing a set of Pareto-optimal solutions or known user preferences a priori. Our work, WheelTailor, bridges this gap by presenting an interactive AI companion for accessible routing that supports preference elicitation and an efficient search strategy. We demonstrate WheelTailor on top of an AI companion blueprint and present it as a web-based tool operating on realistic, accessible map data.",
author = "Paolo Speziali and Roijers, \{Diederik M.\} and Ann Nowe and Mehrdad Asadi",
note = "Publisher Copyright: {\textcopyright} 2026 The Authors.; The 5th International Conference on Hybrid Human-Artificial Intelligence, HHAI'26 ; Conference date: 08-07-2026 Through 10-07-2026",
year = "2026",
month = jul,
day = "2",
doi = "10.3233/FAIA260533",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press",
pages = "460--463",
editor = "Maryam Alimardani and Tom Lenaerts and Andre Meyer-Vitali and Ann Nowe and Joost Vennekens and Shenghui Wang",
booktitle = "HHAI 2026 - Proceedings of the 5th International Conference on Hybrid Human-Artificial Intelligence, HHAI 2026",
address = "Netherlands",
url = "https://hhai-conference.org/2026/",
}