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Wind of Change: Investigating Information Visualizations for Passengers and Residents' Perception of Automated Urban Air Mobility

Semantic Scholar · Article (Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies) · c9c2d37cef5bf0c597cc74e7b69bf8787d0c4174 · Published 2024-11-21 · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · 5 authors

Abstract and citation only, verbatim from Semantic Scholar; full text lives there. All credit to the authors and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.

Abstract

Automated Urban Air Mobility (UAM) is expected to improve passenger transportation but raises concerns about passenger trust and its impact on residents. We address these issues through three online studies using 360-degree videos. The study on adverse lighting and weather conditions (N=31) shows that bounding box visualizations of other air taxis positively impact passengers' perceived safety. Especially during fog, passengers' perceived safety is reduced when no additional information besides the path is shown. The second study (N=29) extends these findings to emergency scenarios (wind gusts, bird flocks, and rotor breakdown) and shows that visualizations of the alternate path increase perceived safety and trust. Finally, studying the impact of UAM on residents (N=29), we found significant concerns about visual pollution and privacy, especially in the suburbs but also in offices. Our findings provide actionable insights into UAM perception and societal acceptability for future aerial transportation design and infrastructure.

Authors

  • Luca-Maxim Meinhardt University of Siegen
  • Mark Colley
  • Marjana Tahmid
  • Max Rädler
  • Enrico Rukzio

Keywords

  • Computer Science
  • Engineering
  • Environmental Science

Citation

Luca-Maxim Meinhardt, Mark Colley, Marjana Tahmid , et al. (2024). Wind of Change: Investigating Information Visualizations for Passengers and Residents' Perception of Automated Urban Air Mobility. Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies. Semantic Scholar ID c9c2d37cef5bf0c597cc74e7b69bf8787d0c4174. https://doi.org/10.1145/3699753 ↗