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Pedestrian Interaction with a Snow Clearing Robot

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Human-Computer Interaction – INTERACT 2023 (INTERACT 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14143))

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Abstract

In this paper, we investigate pedestrian interaction with a large autonomous robot that clears snow from the sidewalk. Through a virtual reality (VR) based user study, simulating different robot behaviors, we report on perceptions of encountering a potentially dangerous robot on the sidewalk. Overall, participants considered their actions in VR to be representative of their real-world actions. However, we note that VR headsets are not able to reproduce the high dynamic range required to realistically reproduce the high-intensity warning lights and sounds associated with close proximity to a large industrial machine. Participants expressed concern about interrupting the robot’s work, and that the robot’s safety-driven behavior should not delay passing by it on the sidewalk.

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Notes

  1. 1.

    https://www.starship.xyz/.

  2. 2.

    https://spykerworkshop.com.

References

  1. Abdrabou, Y., et al.: Understanding shoulder surfer behavior and attack patterns using virtual reality. In: Proceedings of the 2022 International Conference on Advanced Visual Interfaces, pp. 1–9 (2022)

    Google Scholar 

  2. Bartneck, C., Forlizzi, J.: A design-centred framework for social human-robot interaction. In: RO-MAN 2004, 13th IEEE International Workshop on Robot and Human Interactive Communication (IEEE Catalog No. 04TH8759), pp. 591–594. IEEE (2004)

    Google Scholar 

  3. Bogue, R.: Domestic robots: has their time finally come? Ind. Robot Int. J. (2017)

    Google Scholar 

  4. Chadalavada, R.T., Andreasson, H., Krug, R., Lilienthal, A.J.: That’s on my mind! Robot to human intention communication through on-board projection on shared floor space. In: 2015 European Conference on Mobile Robots (ECMR), pp. 1–6. IEEE (2015)

    Google Scholar 

  5. Coovert, M.D., Lee, T., Shindev, I., Sun, Y.: Spatial augmented reality as a method for a mobile robot to communicate intended movement. Comput. Hum. Behav. 34, 241–248 (2014)

    Article  Google Scholar 

  6. Dancu, A., et al.: Gesture bike: examining projection surfaces and turn signal systems for urban cycling. In: Proceedings of the 2015 International Conference on Interactive Tabletops and Surfaces, pp. 151–159 (2015)

    Google Scholar 

  7. Dey, D., et al.: Taming the EHMI jungle: a classification taxonomy to guide, compare, and assess the design principles of automated vehicles’ external human-machine interfaces. Transport. Res. Interdisc. Perspect. 7, 100174 (2020)

    Google Scholar 

  8. Dey, D., Habibovic, A., Pfleging, B., Martens, M., Terken, J.: Color and animation preferences for a light band EHMI in interactions between automated vehicles and pedestrians. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. CHI ’20, pp. 1–13. Association for Computing Machinery, New York, NY, USA (2020). https://doi.org/10.1145/3313831.3376325

  9. Galar, D., Kumar, U., Seneviratne, D.: Robots, Drones, UAVs and UGVs for Operation and Maintenance. CRC Press, Boca Raton (2020)

    Book  Google Scholar 

  10. Gielniak, M.J., Thomaz, A.L.: Generating anticipation in robot motion. In: 2011 RO-MAN, pp. 449–454. IEEE (2011)

    Google Scholar 

  11. Han, Z., Parrillo, J., Wilkinson, A., Yanco, H.A., Williams, T.: Projecting robot navigation paths: hardware and software for projected ar. arXiv preprint arXiv:2112.05172 (2021)

  12. Hart, J., et al.: Using human-inspired signals to disambiguate navigational intentions. In: Wagner, A.R., et al. (eds.) ICSR 2020. LNCS (LNAI), vol. 12483, pp. 320–331. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-62056-1_27

    Chapter  Google Scholar 

  13. Holländer, K., Colley, A., Mai, C., Häkkilä, J., Alt, F., Pfleging, B.: Investigating the influence of external car displays on pedestrians’ crossing behavior in virtual reality. In: Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services. MobileHCI ’19. Association for Computing Machinery, New York, NY, USA (2019). https://doi.org/10.1145/3338286.3340138

  14. Kassem, K., Ungerböck, T., Wintersberger, P., Michahelles, F.: What is happening behind the wall? Towards a better understanding of a hidden robot’s intent by multimodal cues. Proc. ACM Hum.-Comput. Interact. 6(MHCI), 1–19 (2022)

    Google Scholar 

  15. Kleygrewe, L., Hutter, R.V., Koedijk, M., Oudejans, R.R.: Virtual reality training for police officers: a comparison of training responses in VR and real-life training. Police Pract. Res. 1–20 (2023)

    Google Scholar 

  16. Lee, A., Toombs, A.L.: Robots on campus: understanding public perception of robots using social media. In: Conference Companion Publication of the 2020 on Computer Supported Cooperative Work and Social Computing, pp. 305–309 (2020)

    Google Scholar 

  17. Lee, Y.M., et al.: Learning to interpret novel EHMI: the effect of vehicle kinematics and EHMI familiarity on pedestrian’ crossing behavior. J. Safety Res. 80, 270–280 (2022)

    Article  Google Scholar 

  18. Liu, C., Ishi, C.T., Ishiguro, H., Hagita, N.: Generation of nodding, head tilting and eye gazing for human-robot dialogue interaction. In: 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 285–292. IEEE (2012)

    Google Scholar 

  19. Mäkelä, V., et al.: Virtual field studies: conducting studies on public displays in virtual reality. In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, pp. 1–15 (2020)

    Google Scholar 

  20. Mathis, F., et al.: Remote XR studies: the golden future of HCI research. In: Proceedings of the CHI 2021 Workshop on XR Remote Research (2021). https://mat.qmul.ac.uk/events/xr-chi-2021

  21. Moore, D., Currano, R., Strack, G.E., Sirkin, D.: The case for implicit external human-machine interfaces for autonomous vehicles. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. AutomotiveUI ’19, pp. 295–307. Association for Computing Machinery, New York, NY, USA (2019). https://doi.org/10.1145/3342197.3345320

  22. Pizzi, G., Scarpi, D., Pichierri, M., Vannucci, V.: Virtual reality, real reactions?: Comparing consumers’ perceptions and shopping orientation across physical and virtual-reality retail stores. Comput. Hum. Behav. 96, 1–12 (2019)

    Article  Google Scholar 

  23. Pörtner, A., Schröder, L., Rasch, R., Sprute, D., Hoffmann, M., König, M.: The power of color: a study on the effective use of colored light in human-robot interaction. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 3395–3402. IEEE (2018)

    Google Scholar 

  24. Rivu, R., et al.: Remote VR studies-a framework for running virtual reality studies remotely via participant-owned HMDs. arXiv preprint arXiv:2102.11207 (2021)

  25. Sagnier, C., Loup-Escande, E., Valléry, G.: Effects of gender and prior experience in immersive user experience with virtual reality. In: Ahram, T., Falcão, C. (eds.) AHFE 2019. AISC, vol. 972, pp. 305–314. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-19135-1_30

    Chapter  Google Scholar 

  26. Schneider, S., Bengler, K.: Virtually the same? Analysing pedestrian behaviour by means of virtual reality. Transport. Res. F: Traffic Psychol. Behav. 68, 231–256 (2020)

    Article  Google Scholar 

  27. Vázquez, M., Carter, E.J., McDorman, B., Forlizzi, J., Steinfeld, A., Hudson, S.E.: Towards robot autonomy in group conversations: Understanding the effects of body orientation and gaze. In: 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI), pp. 42–52. IEEE (2017)

    Google Scholar 

  28. Vice: Robot dog attack (2023). https://www.vice.com/en/article/3ad9zj/dollar15000-robot-dog-walks-30-seconds-on-brisbane-street-before-someone-punts-it-in-the-head. Accessed 26 Jan 2023

  29. Voit, A., Mayer, S., Schwind, V., Henze, N.: Online, VR, AR, lab, and in-situ: comparison of research methods to evaluate smart artifacts. In: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, pp. 1–12 (2019)

    Google Scholar 

  30. Zhang, J., Vinkhuyzen, E., Cefkin, M.: Evaluation of an autonomous vehicle external communication system concept: a survey study. In: Stanton, N.A. (ed.) AHFE 2017. AISC, vol. 597, pp. 650–661. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-60441-1_63

    Chapter  Google Scholar 

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Acknowledgments

This research has been supported by the Lapland Robotics and Innovation in Lapland through Design and Art (ILO) projects, funded by the European Regional Development Fund (ERDF).

Author information

Authors and Affiliations

  1. University of Lapland, Rovanieni, Finland

    Ashley Colley & Jonna Häkkilä

  2. Lapland University of Applied Sciences, Rovaniemi, Finland

    Marko Tiitto

  3. TU Bergakademie Freiberg, Freiberg, Germany

    Bastian Pfleging

Authors
  1. Ashley Colley
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  2. Marko Tiitto
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  3. Bastian Pfleging
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  4. Jonna Häkkilä
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Corresponding author

Correspondence to Ashley Colley .

Editor information

Editors and Affiliations

  1. University of West London, London, UK

    José Abdelnour Nocera

  2. Reykjavik University, Reykjavik, Iceland

    Marta Kristín Lárusdóttir

  3. University of York, York, UK

    Helen Petrie

  4. University of Bari Aldo Moro, Bari, Italy

    Antonio Piccinno

  5. Université Côte d’Azur, Sophia Antipolis Cedex, France

    Marco Winckler

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Colley, A., Tiitto, M., Pfleging, B., Häkkilä, J. (2023). Pedestrian Interaction with a Snow Clearing Robot. In: Abdelnour Nocera, J., Kristín Lárusdóttir, M., Petrie, H., Piccinno, A., Winckler, M. (eds) Human-Computer Interaction – INTERACT 2023. INTERACT 2023. Lecture Notes in Computer Science, vol 14143. Springer, Cham. https://doi.org/10.1007/978-3-031-42283-6_1

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  • DOI: https://doi.org/10.1007/978-3-031-42283-6_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42282-9

  • Online ISBN: 978-3-031-42283-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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