Investigating the effect of increasing robot group sizes on the human psychophysiological state in the context of human–swarm interaction

Adams, J. (2009). Multiple robot/single human interaction: Effects on perceived workload. Behaviour & Information Technology, 28(2), 183–198.

Bainbridge, W. S. (Ed.). (2004). Berkshire encyclopedia of human–computer interaction. Great Barrington, MA: Berkshire Publishing.

Bekele, E., & Sarkar, N. (2014). Psychophysiological feedback for adaptive human–robot interaction (HRI). In S. H. Fairclough & K. Gilleade (Eds.), Advances in physiological computing (pp. 141–167). Springer.

Bethel, C., Salomon, K., Murphy, R., & Burke, J. (2007). Survey of psychophysiology measurements applied to human–robot interaction. In Proceedings of the 16th IEEE international symposium on robot and human interactive communication (RO-MAN 2007) (pp. 732–737). New York: IEEE Press.

Blascovich, J., Vanman, E., Mendes, W., & Dickerson, S. (2011). Social psychophysiology for social and personality psychology. Beverley Hills, CA: Sage.

Bradley, M. M., & Lang, P. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25(1), 49–59.

Bradley, M. M., & Lang, P. J. (2000). Measuring emotion: Behavior, feeling, and physiology. In R. D. R. Lane, L. Nadel, G. L. Ahern, J. Allen, & A. W. Kaszniak (Eds.), Cognitive neuroscience of emotion (pp. 25–49). Oxford: Oxford University Press.

Byrne, E., & Parasuraman, R. (1996). Psychophysiology and adaptive automation. Biological Psychology, 42(3), 249–268.

De la Croix, J. P., & Egerstedt, M. (2012). Controllability characterizations of leader-based swarm interactions. In AAAI fall symposium series technical reports. AAAI.

Dehais, F., Sisbot, E., Alami, R., & Causse, M. (2011). Physiological and subjective evaluation of a human–robot object hand-over task. Applied Ergonomics, 42(6), 785–791.

Dorigo, M., Floreano, D., Gambardella, L. M., Mondada, F., Nolfi, S., Baaboura, T., et al. (2013). Swarmanoid: A novel concept for the study of heterogeneous robotic swarms. IEEE Robotics & Automation Magazine, 20(4), 60–71.

Goljar, N., Javh, M., Poje, J., Ocepek, J., Novak, D., Ziherl, J., et al. (2011). Psychophysiological responses to robot training in different recovery phases after stroke. In Proceedings of the IEEE international conference on rehabilitation robotics (ICORR’11) (pp. 1–6). New York: IEEE Press.

Gutiérrez, Á., Campo, A., Dorigo, M., Amor, D., Magdalena, L., & Monasterio-Huelin, F. (2008). An open localization and local communication embodied sensor. Sensors, 8(11), 7545–7563.

Humphrey, C., Henk, C., Sewell, G., Williams, B., & Adams, J. (2007). Assessing the scalability of a multiple robot interface. Proceedings of the 2nd ACM/IEEE international conference on human–robot interaction (HRI 2007) (pp. 239–246). Piscataway, NJ: IEEE Press.

Itoh, K., Miwa, H., Nukariya, Y., Zecca, M., Takanobu, H., Roccella, S., et al. (2006). Development of a bioinstrumentation system in the interaction between a human and a robot. In IEEE/RSJ international conference on intelligent robots and systems (pp. 2620–2625). IEEE.

Kolling, A., Sycara, K., Nunnally, S., & Lewis, M. (2013). Human swarm interaction: An experimental study of two types of interaction with foraging swarms. Journal of Human–Robot Interaction, 2(2), 103–128.

Kolling, A., Walker, P., Chakraborty, N., Sycara, K., & Lewis, M. (2016). Human interaction with robot swarms: A survey. IEEE Transaction on Human–Machine Systems, 46(1), 9–26.

Kulic, D., Croft, E. (2005). Anxiety detection during human–robot interaction. In Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS 2005) (pp. 616–621). Los Alamitos: IEEE Computer Society Press.

Kulic, D., & Croft, E. (2007). Affective state estimation for human–robot interaction. IEEE Transactions on Robotics, 23(5), 991–1000.

Mehrabian, A. (1996). Pleasure–arousal–dominance: A general framework for describing and measuring individual differences in temperament. Current Psychology, 14(4), 261–292.

Mondada, F., Bonani, M., Raemy, X., Pugh, J., Cianci, C., Klaptocz, A., et al. (2009). The E-Puck, a robot designed for education in engineering. In Proceedings of the 9th conference on autonomous robot systems and competitions (pp. 59–65). Castelo Branco: Instituto Politècnico de Castelo Branco.

Nagavalli, S., Chien, S., Lewis, M., Chakraborty, N., & Sycara, K. (2015). Bounds of neglect benevolence in input timing for human interaction with robotic swarms. In Proceedings of ACM/IEEE international conference on human–robot interaction (pp. 197–204). New York, NY: ACM.

Nagi, J., Giusti, A., Gambardella, L., & Di Caro, G. A. (2014). Human–swarm interaction using spatial gestures. In Proceedings of the 27th IEEE/RSJ international conference on intelligent robots and systems (IROS) (pp. 3834–3841). Washington: IEEE Computer Society.

Nagi, J., Ngo, H., Gambardella, L., & Di Caro, G. A. (2015). Wisdom of the swarm for cooperative-decision making in human–swarm interaction. In Proceedings of the IEEE international conference on robotics and automation (ICRA).

Novak, D., Ziherl, J., Olenšek, A., Milavec, M., Podobnik, J., Mihelj, M., et al. (2010). Psychophysiological responses to robotic rehabilitation tasks in stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18(4), 351–361.

Nunnally, S., Walker, P., Lewis, M., Kolling, A., Chakraborty, N., & Sycara, K. (2012). Connectivity differences between human operators of swarms and bandwidth limitations. In Proceedings of the third international conference on swarm, evolutionary, and memetic computing (pp. 713–720). Berlin: Springer.

Pendleton, B., & Goodrich, M. (2013). Scalable human interaction with robotic swarms. In Proceedings of the AIAA Infotech@Aerospace conference (pp. 633–645). Reston, VA: American Institute of Aeronautics and Astronautics.

Podevijn, G., O’Grady, R., Nashed, Y., & Dorigo, M. (2013). Gesturing at subswarms: Towards direct human control of robot swarms. In A, Natraj, S. Cameron, C. Melhuish, & M. Witkowski (Eds.), Towards autonomous robotic systems—14th annual conference, TAROS 2013, Lecture notes in computer science (Vol. 8069, pp. 390–403). Berlin: Springer.

Prinzel, L., Freeman, F., Scerbo, M., Mikulka, P., & Pope, A. (2000). A closed-loop system for examining psychophysiological measures for adaptive task allocation. The International Journal of Aviation Psychology, 10(4), 393–410.

Prinzel, L. J., Freeman, F. G., Scerbo, M. W., Mikulka, P. J., & Pope, A. T. (2003). Effects of a psychophysiological system for adaptive automation on performance, workload, and the event-related potential P300 component. Human Factors: The Journal of the Human Factors and Ergonomics Society, 45(4), 601–614.

R Core Team. (2015). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. https://www.R-project.org.

Rani, P., & Sarkar, N. (2005). Making robots emotion-sensitive—Preliminary experiments and results. In IEEE international workshop on robot and human interactive communication (pp. 1–6). Piscataway: IEEE.

Rani, P., Sarkar, N., Smith, C. A., & Kirby, L. (2004). Anxiety detecting robotic system-towards implicit human–robot collaboration. Robotica, 22(01), 85–95.

Salvendy, G. (2012). Handbook of human factors and ergonomics. Hoboken, NJ: Wiley.

Setter, T., Fouraker, A., Kawashima, H., & Egerstedt, M. (2015). Haptic interactions with multi-robot swarms using manipulability. Journal of Human–Robot Interaction, 4(1), 60–74.

Swangnetr, M., & Kaber, D. (2013). Emotional state classification in patient–robot interaction using wavelet analysis and statistics-based feature selection. IEEE Transactions on Human–Machine Systems, 43(1), 63–75.

Swangnetr, M., Zhu, B., Taylor, K., & Kaber, D. (2010). Assessing the effects of humanoid robot features on patient emotion during a medicine delivery task. In Proceedings of the Human Factors and Ergonomics Society annual meeting (pp. 349–353). London: Sage.

Tiberio, L., Cesta, A., Cortellessa, G., Padua, L., & Pellegrino, A. (2012). Assessing affective response of older users to a telepresence robot using a combination of psychophysiological measures. In Proceedings of the 21st IEEE symposium on robot and human interactive communication (RO-MAN) (pp 833–838). New York: IEEE Press.

Ting, C., Mahfouf, M., Nassef, A., Linkens, D., Panoutsos, G., Nickel, P., et al. (2010). Real-time adaptive automation system based on identification of operator functional state in simulated process control operations. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 40(2), 251–262.

Tullis, T., & Albert, W. (2008). Measuring the user experience: Collecting, analyzing, and presenting usability metrics. San Francisco, CA: Morgan Kaufmann.

Velagapudi, P., Scerri, P., Sycara, K., Wang, H., Lewis, M., & Wang, J. (2008). Scaling effects in multi-robot control. In Proceedings of the IEEE/RSJ international conference on intelligent robots and systems (IROS 2008) (pp. 2121–2126). Los Alamitos: IEEE Computer Society Press.

Zhang, T., Kaber, D., Zhu, B., Swangnetr, M., Mosaly, P., & Hodge, L. (2010). Service robot feature design effects on user perceptions and emotional responses. Intelligent service robotics, 3(2), 73–88.