Agnieszka Wykowska is PI of the Social Cognition in Human-Robot Interaction (S4HRI) research line at the Italian Institute of Technology, Genova. She is also affiliated with the Luleå University of Technology, Sweden as adjunct professor in Engineering Psychology. Her research focuses on social cognitive neuroscience and human-robot interaction. She uses behavioral measures (eyetracking, psychophysics) and EEG in HRI research. She obtained PhD in Psychology from the Ludwig-Maximilians-University in Munich (LMU) in 2008. Her background is cognitive neuroscience (M.Sc. in neuro-cognitive psychology, LMU, 2006) and philosophy (M.A. in philosophy, Jagiellonian University Krakow, Poland, 2001). She is an Associate Editor of the International Journal of Social Robotics, and she has served as a member of the Program Committee for the International Conference on Social Robotics (2010-2016), Human-Agent Interaction (2016, 2017) and Human-Robot Interaction (2016). In 2013 she received an Early Stage Career Prize at the COST meeting “The future concept and reality of Social Robotics: challenges, perception and applications - Role of Social Robotics in current and future society”. In 2016 she has been awarded an ERC Starting Grant “Intentional Stance for Social Attunement” which will be carried out at the Italian Institute of Technology.
2017-2022: "Intentional Stance for Social Attunement", ERC Starting grant, sole PI
2015-2016: "Predictive enhancement and inhibition in the context of actions", co-PI with Prof. Heiner Deubel, Ludwig-Maximilians University, project funded by the German Research Foundation (Deutsche Forschungsgemeinschaft, DFG)
2013-2015: "Humans as intentional agents: the action-related intentional weighting mechanism across various modalities and cognitive domains", sole PI, project funded by the DFG
2013-2015: "The influence of action planning on various cognitive processes in the human brain – the embodied cognition perspective", sole PI, project funded by the LMUExcellence initiative
2012-2014: "Perceptual and cognitive mechanisms underlying joint social context in human-robot interaction", co-PI with Prof. Hermann Müller, Ludwig-Maximilians University, Munich, project funded by the DFG
Wiese, E., Metta, G., Wykowska, A. (2017). Robots as Intentional Agents: Using neuroscientific methods to make robots appear more social. Frontiers in Psychology, 8:1663, DOI: 10.3389/fpsyg.2017.01663
Wykowska, A. (2017). Modality-specific interference between action planning and perceptual processing. Journal of Cognitive Psychology, online first, DOI: 10.1080/20445911.2017.1379524
Pérez-Osorio, J., Müller, H., Wykowska, A. (2017). Expectations regarding action sequences modulate electrophysiological correlates of the gaze-cueing effect. Psychophysiology. DOI 10.1111/psyp.12854
Wykowska, A., Chaminade, T., & Cheng, G. (2016). Embodied artificial agents for understanding human social cognition. Philosophical Transactions of the Royal Society London: B. Biological Sciences, 371, 20150375. http://dx.doi.org/10.1098/rstb.2015.0375.
Özdem, C, Wiese, E., Wykowska, A., Müller, H., Brass, M., van Overwalle, F. (in press). Believing Androids? Attentional Reorientation and Belief Manipulation with an Anthropomorphic Robot. Social Neuroscience. doi: 10.1080/17470919.2016.1207702
Pérez-Osorio, J., Müller, H., Wiese, E., Wykowska, A. (2015). Gaze following in the context of complex action scenarios. PLOS ONE 10(11): e0143614. doi:10.1371/journal.pone.0143614
Wykowska, A., Kajopoulos, J., Obando-Leitón, M., Chauhan, S., Cabibihan, J.J., Cheng, G. (2015). Humans are well tuned to detecting agents among non-agents: Examining the sensitivity of human perception to behavioral characteristics of intentional agents. International Journal of Social Robotics. Online first. doi: 10.1007/s12369-015-0299-6
Wykowska, A.,* Kajopoulos, J.,* Ramirez-Amaro, K., Cheng, G. (2015). Autistic traits inversely correlate with implicit sensitivity to human-like behavior. * equal contribution. Interaction Studies, 16:2, 219-248.
Kajopoulos, J., Wong, A. H. Y., Yuen, A. W. C., Dung, T. A., Tan, Y. K., Wykowska, A. (2015). Robot-Assisted Training of Joint Attention Skills in Children Diagnosed with Autism. Lecture Notes in Artificial Intelligence, 296-305.
Wykowska, A.*, Wiese, E.*, Prosser, A., Müller, H.J. (2014). Beliefs about the minds of others influence how we process sensory information. PLOS ONE, 9 (4), e94339, *equal contribution
Wykowska, A., Chellali, R., Al-Amin, M. Md., Müller, H.J. (2014). Implications of Robot Actions for Human Perception. How Do We Represent Actions of the Observed Robots? International Journal of Social Robotics, 6 (3), 357-366.
Wiese, E., Wykowska, A., Müller, H. (2014). What we observe is biased by what other people tell us: Beliefs about the reliability of gaze behavior modulate attentional orienting to gaze cues, PLOS ONE, 9 (4), e94529.
Wiese, E., Müller, H.J., Wykowska, A. (2014). Using a gaze-cueing paradigm to examine social cognitive mechanisms of individuals with autism observing robot and human faces. Lecture Notes in Artificial Intelligence, Springer, 8755, pp 370-379.
Ehrlich, S., Wykowska, A., Ramirez-Amaro, K., Cheng. G. (2014). When to engage in interaction - and how? EEG-based enhancement of robot’s ability to sense social signals in HRI. Proceedings of the Humanoids Conference 2014, IEEE Xplore
Leszczynski, M.*, Wykowska, A.*, Pérez-Osorio, J., Müller, H.J. (2013). Deployment of spatial attention towards locations in memory representations. An EEG Study. PLOS ONE 8(12):e83856; *equal contribution
Feldmann-Wüstefeld, T., Wykowska, A., Schubö, A. (2013). Context heterogeneity has a sustained impact on attention deployment: Behavioral and electrophysiological evidence. Psychophysiology, 50, 722-733
Wykowska, A., Anderl, C., Schubö, A., Hommel, B. (2013). Motivation modulates visual attention: Evidence from pupillometry. Frontiers in Psychology, 4:59. doi: 10.3389/fpsyg.2013.00059
Wiese, E., Wykowska, A., Müller, H. (2013). Making eyes with robots: Readiness to engage in Human-Robot Interaction depends on the attribution of intentionality. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 57, 1174-1178.
Wykowska, A., Hommel, B., Schubö, A. (2012). Imaging when acting: picture but not word cues induce action-related biases of visual attention. Frontiers in Psychology, 3:388. doi: 10.3389/fpsyg.2012.00388
Wykowska, A., Schubö, A. (2012). Action intentions modulate allocation of visual attention: electrophysiological evidence. Frontiers in Psychology, 3: 379. doi: 10.3389/fpsyg.2012.00379
Wiese, E.*, Wykowska, A.*, Zwickel, J., Müller, H.J. (2012), I see what you mean: how attentional selection is shaped by ascribing intentions to others. PLoS ONE 7(9): e45391; *equal contribution
Wykowska, A., Schubö, A. (2012). Perception and action as two sides of the same coin. A review of the importance of action-perception links in humans for social robot design and research. International Journal of Social Robotics, 1, 5-14.
Wykowska, A., Chellali, R., Al-Amin, M., Müller, H. (2012). Does observing artificial robotic systems influence human perceptual processing in the same way as observing humans? Lecture Notes in Artificial Intelligence 7621, Springer, 327–337.
Wykowska, A., Hommel, B., Schubö, A. (2011). Action-induced effects on perception depend neither on element-level nor on set-level similarity between stimulus and response sets. Attention, Perception & Psychophysics, 73, 1034-1041.
Wykowska, A., Schubö, A. (2011). Irrelevant singletons in visual search do not capture attention but can produce non-spatial filtering costs. Journal of Cognitive Neuroscience, 23, 645–660.
Wykowska, A., Maldonado, A., Beetz, M., Schubö, A. (2011). How humans optimize their interaction with the environment: The impact of action context on human perception. International Journal of Social Robotics, 3, 223-231.
Wykowska, A., Schubö, A. (2010). On the temporal relation of top-down and bottom-up mechanisms during guidance of attention. Journal of Cognitive Neuroscience, 22, 640-654.
Wykowska, A., Schubö, A. (2010). Selecting when acting: how human perception is tuned to action goals and how robotics can benefit from that. Social Robotics. Lecture Notes in Artificial Intelligence, 6414, Springer, 275-285.
Wykowska, A., Schubö, A., Hommel, B. (2009). How you move is what you see: Action planning biases selection in visual search. Journal of Experimental Psychology: Human Perception and Performance, 35, 1755-1769.
Schubö, A., Wykowska, A., Müller, H. (2007). Detecting pop-out targets in contexts of varying homogeneity: Investigating homogeneity coding with event-related brain potentials (ERPs). Brain Research, 1138, 136-147.
Wykowska, A., & Arstila, V. (2014). On the flexibility of human temporal resolution. In: Arstila, V., & Lloyd, D (Eds.) Subjective Time. Cambridge, MA, MIT Press, pp. 431-453.
Wykowska, A., & Rangelov, D. (2014) Review of: Brian Bruya (Ed.) Effortless Attention. A New Perspective in the Cognitive Science of Attention and Action. Cambridge, MA: MIT Press, A Bradford Book, 2010. Journal of Consciousness Studies. pp. 209-215