Skip to main content
SpringerLink
Log in

Who’s in Charge of Charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles

  • Conference paper
  • First Online:
HCI in Mobility, Transport, and Automotive Systems (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14048))

Included in the following conference series:

  • 738 Accesses

Abstract

We investigated the effect of varying the level of cooperation in a smart charging agent (SCA) on user perception and behavior. Our study involved manipulating the SCA’s cooperativeness by varying its degree of automation and the amount of information sharing with the user and measuring effects on changes in user behavior, perceived goal alignment, the user’s awareness of the SCA’s information processing, and perceived cooperativeness. Our hypothesis that a lower degree of automation of the SCA would increase human-agent cooperation was not supported by our results. Instead, participants in the high-automation condition chose a later charging endpoint more often, implying greater cooperation. Our hypothesis that a higher amount of information shared by the SCA would increase human-agent cooperation was only partially confirmed. Cooperation led to a more positive user experience, but the correlation was only moderate to strong. The study shows the limitations of using the degree of automation as a sole measure of human-machine cooperation and highlights the need to explore other operationalizations of human-machine cooperation. Further research is needed to explore other scenarios and variations in the information provided to the user to better understand human-machine cooperation in the context of smart charging.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 89.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Anwar, M.B., et al.: Assessing the value of electric vehicle managed charging: a review of methodologies and results. Energy Environ. Sci. 15, 466–498 (2022)

    Google Scholar 

  2. Bengler, K., Zimmermann, M., Bortot, D., Kienle, M., Damböck, D.: Interaction Principles for Cooperative Human-Machine Systems. Inf. Technol. 54(4), 157–164 (2012)

    Google Scholar 

  3. Bratman, M.E.: Shared cooperative activity. Philos. Rev. 101(2), 327–341 (1992)

    Article  Google Scholar 

  4. Bütepage, J., Kragic, D.: Human-robot collaboration: from psychology to social robotics. ArXiv preprint arXiv:1705.10146 [cs.RO] (2017)

  5. Castelfranchi, C., Falcone, R.: Principles of trust for MAS: Cognitive anatomy, social importance, and quantification. In: Proceedings International Conference on Multi Agent Systems. pp. 72–79. IEEE (1998)

    Google Scholar 

  6. Finn, P., Fitzpatrick, C., Connolly, D.: Demand side management of electric car charging: benefits for consumer and grid. Energy 42(1), 358–363 (2012)

    Article  Google Scholar 

  7. Flemisch, F., Baltzer, M.C.A., Sadeghian, S., Meyer, R., Hernández, D.L., Baier, R.: Making HSI More Intelligent: human systems exploration versus experiment for the integration of humans and artificial cognitive systems. In: Karwowski, W., Ahram, T. (eds.) IHSI 2019. AISC, vol. 903, pp. 563–569. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11051-2_85

    Chapter  Google Scholar 

  8. Frison, A.K., Wintersberger, P., Riener, A., Schartmüller, C.: Driving hotzenplotz: a hybrid interface for vehicle control aiming to maximize pleasure in highway driving. In: Proceedings of the 9th International Conference on Automotive user Interfaces and Interactive Vehicular Applications. pp. 236–244 (2017)

    Google Scholar 

  9. Gienger, M., et al.: Human-robot cooperative object manipulation with contact changes. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). pp. 1354–1360. IEEE (2018)

    Google Scholar 

  10. Hoc, J.M.: Towards a cognitive approach to human-machine cooperation in dynamic situations. Int. J. Hum. Comput. Stud. 54(4), 509–540 (2001)

    Article  Google Scholar 

  11. Huber, J., Jung, D., Schaule, E., Weinhardt, C.: Goal framing in smart charging - Increasing BEV users’ charging flexibility with digital nudges. In: 27th European Conference on Information Systems-Information Systems for a Sharing Society, ECIS 2019. pp. 1–16 (2020)

    Google Scholar 

  12. Jacovi, A., Marasović, A., Miller, T., Goldberg, Y.: Formalizing trust in artificial intelligence: Prerequisites, causes and goals of human trust in AI. In: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency. pp. 624–635 (2021)

    Google Scholar 

  13. Kelley, H.H., Thibaut, J.W.: Interpersonal relations: A theory of interdependence. Wiley, New York, NY (1978)

    Google Scholar 

  14. Klein, G., Feltovich, P.J., Bradshaw, J.M., Woods, D.D.: Common ground and coordination in joint activity. Organ. Simul. 53, 139–184 (2005)

    Article  Google Scholar 

  15. Kraft, A.K., Maag, C., Baumann, M.: How to support cooperative driving by HMI design? Transp. Res. Interdis. Perspect. 3, 100064 (2019)

    Google Scholar 

  16. Krüger, M., Wiebel, C.B., Wersing, H.: From tools towards cooperative assistants. In: Proceedings of the 5th International Conference on Human Agent Interaction (HAI ’17) pp. 287–294 (2017)

    Google Scholar 

  17. Kuramochi, H., Utsumi, A., Ikeda, T., Kato, Y.O., Nagasawa, I., Takahashi, K.: Effect of human-machine cooperation on driving comfort in highly automated steering maneuvers. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings. pp. 151–155 (2019)

    Google Scholar 

  18. Limmer, S., Rodemann, T.: Peak load reduction through dynamic pricing for electric vehicle charging. Int. J. Electr. Power Energy Syst. 113, 117–128 (2019)

    Article  Google Scholar 

  19. Maag, C., Kraft, A.K., Neukum, A., Baumann, M.: Supporting cooperative driving behaviour by technology-HMI solution, acceptance by drivers and effects on workload and driving behaviour. Transp. Res. Part F Traffic Psychol. Behav. 84, 139–154 (2022)

    Article  Google Scholar 

  20. Öhrlund, I., Stikvoort, B., Schultzberg, M., Bartusch, C.: Rising with the sun? encouraging solar electricity self-consumption among apartment owners in Sweden. Energy Res. Soc. Sci. 64, 101424 (2020)

    Article  Google Scholar 

  21. Papenmeier, A., Kern, D., Englebienne, G., Seifert, C.: It’s complicated: The relationship between user trust, model accuracy and explanations in AI. ACM Trans. Comput. Hum. Interact. (TOCHI) 29(4), 1–33 (2022)

    Article  Google Scholar 

  22. Parasuraman, R., Sheridan, T.B., Wickens, C.D.: A model for types and levels of human interaction with automation. IEEE Trans. Syst. Man Cybern. Part A Syst. Hum. 30(3), 286–297 (2000)

    Article  Google Scholar 

  23. Schrepp, M., Hinderks, A., Thomaschewski, J.: Design and evaluation of a short version of the user experience questionnaire (UEQ-S). Int. J. Interact. Multimedia Artificial Intel. 4(6), 103–108 (2017)

    Google Scholar 

  24. Schrills, T.P.P., Kargl, S., Bickel, M., Franke, T.: Perceive, understand & predict-empirical indication for facets in subjective information processing awareness. PsyArXiv (2022). https://doi.org/10.31234/osf.io/3n95u

  25. Sendhoff, B., Wersing, H.: Cooperative intelligence-a humane perspective. In: 2020 IEEE International Conference on Human-Machine Systems (ICHMS). pp. 1–6 (2020)

    Google Scholar 

  26. Tomasello, M., Vaish, A.: Origins of human cooperation and morality. Annual Rev. Psychol. 64(1), 231–255 (2013)

    Article  Google Scholar 

  27. Walch, M., Woide, M., Mühl, K., Baumann, M., Weber, M.: Cooperative overtaking: Overcoming automated vehicles’ obstructed sensor range via driver help. In: Proceedings of the 11th international conference on automotive user interfaces and interactive vehicular applications. pp. 144–155 (2019)

    Google Scholar 

  28. Wang, C., Usai, M., Li, J., Baumann, M., Flemisch, F.: Workshop on human-vehicle-environment cooperation in automated driving: The next stage of a classic topic. In: 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. pp. 200–203 (2021)

    Google Scholar 

  29. Woide, M., Stiegemeier, D., Pfattheicher, S., Baumann, M.: Measuring driver-vehicle cooperation: development and validation of the Human-Machine-Interaction-Interdependence Questionnaire (HMII). Trans. Res. Part F Traffic Psychol. Behav. 83, 424–439 (2021)

    Article  Google Scholar 

  30. Wollstadt, P., Krüger, M.: Quantifying cooperation between artificial agents using synergistic information. In: 2022 IEEE Symposium Series on Computational Intelligence (SSCI). pp. 1044–1051. IEEE (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany

    Meike E. Kühne, André Calero Valdez & Thomas Franke

  2. Honda Research Institute Europe, Carl-Legien-Str. 30, 63073, Offenbach am Main, Germany

    Christiane B. Wiebel-Herboth & Patricia Wollstadt

Authors
  1. Meike E. Kühne
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Christiane B. Wiebel-Herboth
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Patricia Wollstadt
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. André Calero Valdez
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Thomas Franke
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thomas Franke .

Editor information

Editors and Affiliations

  1. Technische Universität Ilmenau, Ilmenau, Germany

    Heidi Krömker

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Kühne, M.E., Wiebel-Herboth, C.B., Wollstadt, P., Calero Valdez, A., Franke, T. (2023). Who’s in Charge of Charging? Investigating Human-Machine-Cooperation in Smart Charging of Electric Vehicles. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2023. Lecture Notes in Computer Science, vol 14048. Springer, Cham. https://doi.org/10.1007/978-3-031-35678-0_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-35678-0_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35677-3

  • Online ISBN: 978-3-031-35678-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation