Abstract
Increasingly advanced systems are becoming pervasive in society. They are taking on roles and have abilities that necessitate their teaming with humans. However, the authors argue that we will soon reach a point where the increased embedding of artificially intelligent systems into collaborative teams results in reduced performance. We believe that there is an upcoming “uncanny valley of collaboration” that must be traversed on the way to natural truly productive hybrid teams. In order to avoid potential obstacles to hybrid team progress and safety, we argue that this challenge should be clearly identified and addressed across the larger human system integration community. In this paper, we describe the problem, propose potential solutions, and provide some examples where we are making strides toward bridging this valley.
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Fouse, A., Mullins, R.S., Ganberg, G., Weiss, C.: The Evolution of User Experiences and Interfaces for Delivering Context-Aware Recommendations to Information Analysts. In: Ahram T., Falcão C. (eds) Advances in Usability and User Experience. AHFE 2017. Advances in Intelligent Systems and Computing, vol 607. Springer. (2017)
Fouse, A., Mullins, R.S., & Ziemkiewicz, C.: A Framework for Context-Aware Visualization in Cyber Defense. Proc. of IEEE Symposium on Visualization for Cyber Security (VizSec) (2016)
Fouse, A., Weiss, C., Mullins, R.S., Hanna, C., Nargi, B., & Keefe, D.F.: Multimodal Interactions in Multi-Display Semi-Immersive Environments. In 2018 IEEE Conference on Cognitive and Computational Aspects of Situation Management, Proceedings of. Boston, MA. (2018)
Friston, K.: The free-energy principle: a unified brain theory? Nature Reviews Neuroscience 11(2), 127–138 (2010)
Levchuk, G., Pattipati, K., Fouse, A., Serfaty, D., & McCormack, R.: Active learning and structure adaptation in teams of heterogeneous agents: designing organizations of the future. Proc. SPIE 10653, Next-Generation Analyst VI, 1065305 (21 May 2018)
Mori, M., MacDorman, K.F., Kageki, N.: The Uncanny Valley [From the Field]. Proc. IEEE Robotics & Automation Magazine 19(2), 98–100 (2012)
Mullins, R., Fouse, A., Mccormack, R., & Lovell Pfautz, S.: A Context-aware Decision Support Tool for Assessing and Mitigating Drivers of Civil Instability. Proc. of the 6th International Conference on Applied Human Factors and Ergonomics. (2015)
Pfautz, S.L., Ganberg, G., Fouse, A., Schurr, N.: A general context-aware framework for improved human-system interactions. AI Magazine 36(2), 42–49 (2015)
Plantec, P.: “Crossing the Great Uncanny Valley—Animation World Network”. URL: https://www.awn.com/vfxworld/crossing-great-uncanny-valley (December 19, 2007)
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Schurr, N., Fouse, A., Freeman, J., Serfaty, D. (2019). Crossing the Uncanny Valley of Human-System Teaming. In: Karwowski, W., Ahram, T. (eds) Intelligent Human Systems Integration 2019. IHSI 2019. Advances in Intelligent Systems and Computing, vol 903. Springer, Cham. https://doi.org/10.1007/978-3-030-11051-2_108
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DOI: https://doi.org/10.1007/978-3-030-11051-2_108
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