Abstract
In this paper, we describe a robot-based interface for presenting important information to assist safety driving. We have been developing a safe driving support system consisting of various devices for sensing the in-vehicle environment and driver’s vital signals, a set of edge computing nodes for analyzing the sensed data, and actuators for presenting the analyzed results to the driver. Because visual and auditory messages are commonly used in an instrumental panel, an audio system, and a navigation system in the car, adding similar notification methods may hinder the driver’s safety driving operations. We, therefore, propose to use robot motions with voice messages as a new way of delivering important information to the driver. We designed and implemented two sets of the driver assisting methods using a real robot placed in a vehicle and a visual robot aid moving on a monitor screen. We conducted a comparative experiment among the methods to verify their effectiveness and practicality.
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References
Fujikake, K., Tanaka, T., Yonekawa, T., Yamagishi, M., Inagami, M., Kinoshita, F., Aoki, H., Kanamori, H.: Subjective evaluation of elderly people on driver assistance of driver-agents. In: Proceedings of the 58th Conference of Japan Ergonomics Society, vol. 53, pp. 276–277 (2017). (in Japanese)
Li, N., Misu, T., Tawari, A., Miranda, A., Suga, C., Fujimura, K.: Driving maneuver prediction using car sensor and driver physiological signals. In: Proceedings of the 18th ACM International Conference on Multimodal Interaction, pp. 108–112 (2016)
Islinger, T., Kohler, T., Wolff, C.: Human modeling in a driver analyzing context: challenge and benefit. In: Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 99–104 (2011)
Kim, S., Chun, J., Dey, A.: Sensors know when to interrupt you in the car: detecting driver interruptibility through monitoring of peripheral interactions. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, pp. 487–496 (2015)
Gupta, R., Mangalraj, P., Agrawal, A., Kumar, A.: Posture recognition for safe driving. In: Proceedings of the 3rd International Conference on Image Information Processing, pp. 141–146 (2015)
Koukoumidis, E., Martonosi, M., Peh, L.-S.: Leveraging smartphone cameras for collaborative road advisories. IEEE Trans. Mob. Comput. 11(5), 707–723 (2012)
Healey, J., Wang, C-C., Dopfer, A., Yu, C-C.: M2M gossip: why might we want cars to talk about us? In: Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, pp. 265–268 (2012)
Tanaka, T., Fujikake, F., Yonekawa, T., Inagami, M., Aoki, H., Kanamori, H.: Analysis of relationship between form of driving support agent and gaze behavior-study on driver-agent for encouraging safety driving behavior of elderly drivers. In: Proceedings of the Human-Agent Interaction Symposium 2017, P-2, pp. 1–9 (2017). (in Japanese)
Haramaki, T., Shimizu, D., Nishino, H.: A wireless network visualizer based on signal strength observation. In: Proceedings of the IEEE International Conference on 2017 ICCE-TW, pp. 23–24 (2017)
Haramaki, T., Nishino, H.: An edge computer based driver monitoring system for assisting safety driving. In: Proceedings of the 6th International Conference on EIDWT-2018, pp. 639–650 (2018)
MQTT. http://mqtt.org/. Accessed June 2018
Mosquitto. https://mosquitto.org/. Accessed June 2018
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Haramaki, T., Yatsuda, A., Nishino, H. (2019). A Robot Assistant in an Edge-Computing-Based Safe Driving Support System. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_13
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DOI: https://doi.org/10.1007/978-3-319-98530-5_13
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