Dangerous Slime: A Game for Improving Situation Awareness in Automated Driving
Authors: 
Yue Wu, Linhao Ye, Xianzhe Zheng, Hanfei Zhu, Wei XiangAuthors Info & Claims
Pages 136 - 144
Abstract
The role of driver is changing from controller to regulator as automated vehicles become more common. This change leads to deceased situation awareness (SA) because of passive engagement and increased non-driving related tasks (NDRT), and might affected drivers' takeover. This study designed a gamified prototype named Dangerous Slime to help drivers maintain SA during automated driving. Dangerous Slime turned surrounding cars into slimes that attacked drivers' cars; drivers need to response to these attacks, which increased their attention to nearby objects. Drivers can take the game as non-driving related tasks (NDRTs) during the whole automated driving process. When compared to NDRT of watching films, the game achieved an improvement in drivers' SA and positive user feedback. Moreover, the styles of games affect drivers' behavior and SA. This study revealed how the game influenced drivers' SA, and took a step toward improving the safety of automated driving in a pleasant way.
Supplementary Material
References
[1]
Bimbraw, K. 2015. Autonomous Cars: Past, Present and Future - A Review of the Developments in the Last Century, the Present Scenario and the Expected Future of Autonomous Vehicle Technology. Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics. https://doi.org/10.5220/0005540501910198
[2]
Endsley, M. R. 2018. Situation Awareness in Future Autonomous Vehicles: Beware of the Unexpected. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), 303–309. https://doi.org/10.1007/978-3-319-96071-5_32
[3]
Claussmann, L., Revilloud, M., Glaser, S., & Gruyer, D. 2017. A study on al-based approaches for high-level decision making in highway autonomous driving. 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC). https://doi.org/10.1109/smc.2017.8123203
[4]
Henry Togwell, Mark McGill, Graham Wilson, Daniel Medeiros, and Stephen Anthony Brewster. 2022. In-cAR Gaming: Exploring the use of AR headsets to Leverage Passenger Travel Environments for Mixed Reality Gameplay. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA '22). Association for Computing Machinery, New York, NY, USA, Article 369, 1–7. https://doi.org/10.1145/3491101.3519741
[5]
Ronald Schroeter and Fabius Steinberger. 2016. Pokémon DRIVE: towards increased situational awareness in semi-automated driving. In Proceedings of the 28th Australian Conference on Computer-Human Interaction (OzCHI '16). Association for Computing Machinery, New York, NY, USA, 25– 29. https://doi.org/10.1145/3010915.3010973
[6]
Sifa, R., Drachen, A., & Bauckhage, C. 2021. Large-Scale Cross-Game Player Behavior Analysis on Steam. Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 11(1), 198–204. https://doi.org/10.1609/aiide.v11i1.12804
[7]
SAE Society of Automotive Engineers. 2018.Taxonomy and Definitions for Terms Related to Driving Automation Systems for On-Road MotorVehicles (J3016 Ground Vehicle Standard). https://doi.org/10.4271/J3016_201806
[8]
Vero Vanden Abeele, Lennart E. Nacke, Elisa D. Mekler, and Daniel Johnson. 2016. Design and Preliminary Validation of The Player Experience Inventory. In Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts (CHI PLAY Companion '16). Association for Computing Machinery, New York, NY, USA, 335–341. https://doi.org/10.1145/2968120.2987744
[9]
Endsley, M. R. 2016. From Here to Autonomy. Human Factors: The Journal of the Human Factors and Ergonomics Society, 59(1), 5–27. https://doi.org/10.1177/0018720816681350.
[10]
Endsley, M. R. 2018. Situation Awareness in Future Autonomous Vehicles: Beware of the Unexpected. Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018), 303–309. https://doi.org/10.1007/978-3-319-96071-5_32.
[11]
Van Veen, T., Karjanto, J., & Terken, J. 2017. Situation awareness in automated vehicles through proximal peripheral light signals. In Proceedings of the 9th international conference on automotive user interfaces and interactive vehicular applications (pp. 287–292). New York, NY, USA: ACM. http://doi.acm.org/10.1145/3122986.3122993.
[12]
Telpaz, A., Rhindress, B., Zelman, I., & Tsimhoni, O. 2015. Haptic seat for automated driving: Preparing the driver to take control effectively. In Proceedings of the 7th international conference on automotive user interfaces and interactive vehicular applications (pp. 23–30). New York, NY, USA: ACM. http://doi.acm.org/10.1145/2799250.2799267.
[13]
Wiegand, G., Mai, C., Liu, Y., & Hussmann, H. 2018. Early take-over preparation in stereoscopic 3d. In Adjunct proceedings of the 10th international conference on automotive user interfaces and interactive vehicular applications (pp. 142–146). New York, NY, USA: ACM. http://doi.acm.org/10.1145/3239092.3265957.
[14]
Cramer, S., & Klohr, J. Announcing automated lane changes: Active vehicle roll motions as feedback for the driver. 2019. International Journal of Human–Computer Interaction, 35(11), 980–995. https://doi.org/10.1080/10447318.2018.1561790.
[15]
Kerschbaum, P., Lorenz, L., & Bengler, K. 2015. A transforming steering wheel for highly automated cars. 2015 IEEE Intelligent Vehicles Symposium (IV). https://doi.org/10.1109/ivs.2015.7225893.
[16]
Borojeni, S. S., Wallbaum, T., Heuten, W., & Boll, S. 2017. Comparing shape-changing and vibro-tactile steering wheels for take-over requests in highly automated driving. In Proceedings of the 9th international conference on automotive user interfaces and interactive vehicular applications (pp. . 221–225). New York, NY, USA: ACM. http://doi.acm.org/10.1145/3122986.3123003
[17]
Petermeijer, S. M., de Winter, J. C. F., & Bengler, K. J. 2016.Vibrotactile displays: A survey with a view on highly automated driving. IEEE Transactions on Intelligent Transportation Systems, 17 (4), 897–907. https://doi.org/10.1109/TITS.2015.2494873
[18]
Lahmer, M., Glatz, C., Seibold, V. C., & Chuang, L. L. 2018. Looming auditory collision warnings for semi-automated driving: An erp study.In Proceedings of the 10th international conference on automotive user interfaces and interactive vehicular applications (pp. 310–319).New York, NY, USA: ACM. http://doi.acm.org/10.1145/3239060
[19]
Politis, I., Brewster, S., & Pollick, F. 2015. Language-based multimodal displays for the handover of control in autonomous cars. In Proceedings of the 7th international conference on automotive user interfaces and interactive vehicular applications (pp. 3–10). New York, NY, USA: ACM. http://doi.acm.org/10.1145/2799250.2799262
[20]
Walch, M., Lange, K., Baumann, M., & Weber, M. 2015. Autonomous driving: Investigating the feasibility of car-driver handover assistance.In Proceedings of the 7th international conference on automotive user interfaces and interactive vehicular applications (pp. 11–18).New York, NY, USA: ACM. http://doi.acm.org/10.1145/2799250
[21]
Borojeni, S. S., Chuang, L., Heuten, W., & Boll, S. 2016. Assisting drivers with ambient take-over requests in highly automated driving. In Proceedings of the 8th international conference on automotive user interfaces and interactive vehicular applications (pp. 237–244). New York, NY, USA: ACM. http://doi.acm.org/10.1145/3003715.3005409
[22]
Tang, Q., Guo, G., Zhang, Z., Zhang, B., & Wu, Y. 2020. Olfactory Facilitation of Takeover Performance in Highly Automated Driving.Human Factors. https://doi.org/10.1177/0018720819893137
[23]
Vogelpohl, T., Gehlmann, F. and Vollrath, M., 2020. Task interruption and control recovery strategies after take-over requests emphasize the need for measures of situation awareness. Human factors, 62(7), pp.1190-1211. https://doi.org/10.1177/0018720819866976
[24]
Deterding, S., Dixon, D., Khaled, R., & Nacke, L. 2011. From game design elements to gamefulness. Proceedings of the 15th International Academic MindTrek Conference: Envisioning Future Media Environments. https://doi.org/10.1145/2181037.2181040
[25]
Hsu, C.-L., & Lu, H.-P. 2004. Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853–868. https://doi.org/10.1016/j.im.2003.08.014
[26]
Vero Vanden Abeele, Lennart E. Nacke, Elisa D. Mekler, and Daniel Johnson. 2016. Design and Preliminary Validation of The Player Experience Inventory. In Proceedings of the 2016 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts (CHI PLAY Companion '16). Association for Computing Machinery, New York, NY, USA, 335–341. https://doi.org/10.1145/2968120.2987744
[27]
Muguro, J. K., Laksono, P. W., Sasatake, Y., Matsushita, K., & Sasaki, M. 2021. User Monitoring in Autonomous Driving System Using Gamified Task: A Case for vr/AR in-Car Gaming. https://doi.org/10.20944/preprints202106.0459.v1
[28]
Chuan Shi, Hae Jin Lee, Jason Kurczak, and Alison Lee. 2012. Routine Driving Infotainment App: Gamification of Performance Driving. In Adjunct Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. 181–183.
[29]
Matthew Lakier, Lennart E. Nacke, Takeo Igarashi, and Daniel Vogel. 2019.Cross-Car, Multiplayer Games for Semi-Autonomous Driving. In Proceedings of theAnnual Symposium on Computer-Human Interaction in Play (CHI PLAY '19).Association for Computing Machinery, New York, NY, USA, 467–480.https://doi.org/10.1145/3311350.3347166
[30]
Henry Togwell, Mark McGill, Graham Wilson, Daniel Medeiros, and Stephen Anthony Brewster. 2022. In-cAR Gaming: Exploring the use of AR headsets to Leverage Passenger Travel Environments for Mixed Reality Gameplay. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA '22). Association for Computing Machinery, New York, NY, USA, Article 369, 1–7. https://doi.org/10.1145/3491101.3519741
[31]
Sven Krome, Joshua Batty, Stefan Greuter, and Jussi Holopainen. 2017. AutoJam: Exploring Interactive Music Experiences in Stop-and-Go Traffic. In Proceedings of the 2017 Conference on Designing Interactive Systems (DIS '17). Association for Computing Machinery, New York, NY, USA, 441–450. https://doi.org/10.1145/3064663.3064758
[32]
Muguro, J. K., Laksono, P. W., Sasatake, Y., Matsushita, K., & Sasaki, M. 2021. User Monitoring in Autonomous Driving System Using Gamified Task: A Case for vr/AR in-Car Gaming. https://doi.org/10.20944/preprints202106.0459.v1
[33]
Johnson, M. 2016. Bullet Hell: The Globalized Growth of Danmaku Games and the Digital Culture of High Scores and World Records. Transnational Contexts of Culture, Gender, Class, and Colonialism in Play, 17–42. https://doi.org/10.1007/978-3-319-43817-7_2
[34]
Shunmuga Perumal, P., Wang, Y., Sujasree, M., Mukthineni, V., & Ram Shimgekar, S. 2022. Intelligent advice system for human drivers to prevent overtaking accidents in roads. Expert Systems with Applications, 199, 117178. https://doi.org/10.1016/j.eswa.2022.117178
[35]
Taylor, R. M. 2017. Situational Awareness Rating Technique (Sart): The Development of a Tool for Aircrew Systems Design. Situational Awareness, 111–128. https://doi.org/10.4324/9781315087924-8
[36]
Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. Human Mental Workload, 139–183. https://doi.org/10.1016/s0166-4115(08)62386-9
[37]
Fahlman, S. A., Mercer-Lynn, K. B., Flora, D. B., & Eastwood, J. D. 2013. Development and Validation of the Multidimensional State Boredom Scale. Assessment, 20(1), 68–85. https://doi.org/10.1177/1073191111421303
[38]
Aqeel Haider, Casper Harteveld, Daniel Johnson, Max V. Birk, Regan L. Mandryk, Magy Seif El-Nasr, Lennart E. Nacke, Kathrin Gerling, and Vero Vanden Abeele. 2022. MiniPXI: Development and Validation of an Eleven-Item Measure of the Player Experience Inventory. Proc. ACM Hum.-Comput. Interact. 6, CHI PLAY, Article 244 (October 2022), 26 pages. https://doi.org/10.1145/3549507
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September 2023
352 pages
ISBN:9798400701054
DOI:10.1145/3580585
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Published: 18 September 2023
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