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”: InStance
PRESENT PROJECTS
2017-2022: "Intentional Stance for Social Attunement", ERC Starting grant, sole PI
PAST PROJECTS
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
2018
Willemse, C., Marchesi, S., Wykowska, A. (2018). Robot Faces that Follow Gaze Facilitate Attentional Engagement and Increase Their Likeability. Frontiers in Psychology, 9:70. doi: 10.3389/fpsyg.2018.00070
Schellen, E., Pérez-Osorio, J., & Wykowska, A. (2018). Social Cognition in Human-Robot Interaction: Putting the ‘H’ back in ‘HRI’. ERCIM News 114, Special theme: Human-Robot Interaction. (Eds) Serena Ivaldi and Maria Pateraki. Online: https://ercim-news.ercim.eu/en114/special/social-cognition-in-human-robot-interaction-putting-the-h-back-in-hri
2017
Natale, L., Bartolozzi, C., Pucci, D., Wykowska, A., Metta, G. (2017). The not-yet-finished story of building a robot child. Science Robotics, Vol. 2, Issue 13, eaaq1026 DOI: 10.1126/scirobotics.aaq1026
Kompatsiari K., Tikhanoff V., Ciardo F., Metta G., Wykowska A. (2017) The Importance of Mutual Gaze in Human-Robot Interaction. In: Kheddar A. et al. (eds) Social Robotics. ICSR 2017. Lecture Notes in Computer Science, vol 10652, Springer, 443-452. DOI: doi.org/10.1007/978-3-319-70022-9_44
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
Johansson, J., Abrahamsson, L., Bergvall Kåreborn, B., Fältholm, Y., Grane, C., Wykowska, A. (2017). Work and Organization in a Digital Industrial Context. Management Revue 28, 281-297.
Özdem, C, Wiese, E., Wykowska, A., Müller, H., Brass, M., van Overwalle, F. (2017). Believing Androids? Attentional Reorientation and Belief Manipulation with an Anthropomorphic Robot. Social Neuroscience, 12, 582-593. doi: https://doi.org/10.1080/17470919.2016.1207702
2016
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.
2015
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.
2014
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
2013
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.
2012
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.
2011
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.
2007-2010
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.
Book contribution
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.
Book Review
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
L’Istituto Italiano di Tecnologia (IIT) è una fondazione di diritto privato - cfr. determinazione Corte dei Conti 23/2015 “IIT è una fondazione da inquadrare fra gli organismi di diritto pubblico con la scelta di un modello di organizzazione di diritto privato per rispondere all’esigenza di assicurare procedure più snelle nella selezione non solo nell’ambito nazionale dei collaboratori, scienziati e ricercatori ”.
IIT è sotto la vigilanza del Ministero dell'Istruzione, dell'Università e della Ricerca e del Ministero dell'Economia e delle Finanze ed è stato istituito con la Legge 326/2003. La Fondazione ha l'obiettivo di promuovere l'eccellenza nella ricerca di base e in quella applicata e di favorire lo sviluppo del sistema economico nazionale. La costruzione dei laboratori iniziata nel 2006 si è conclusa nel 2009.
Lo staff complessivo di IIT conta circa 1440 persone. L’area scientifica è rappresentata da circa l’85% del personale. Il 45% dei ricercatori proviene dall’estero: di questi, il 29% è costituito da stranieri provenienti da oltre 50 Paesi e il 16% da italiani rientrati. Oggi il personale scientifico è composto da circa 60 principal investigators, circa 110 ricercatori e tecnologi di staff, circa 350 post doc, circa 500 studenti di dottorato e borsisti, circa 130 tecnici. Oltre 330 posti su 1400 creati su fondi esterni. Età media 34 anni. 41% donne / 59 % uomini.
Nel 2015 IIT ha ricevuto finanziamenti pubblici per circa 96 milioni di euro (80% del budget), conseguendo fondi esterni per 22 milioni di euro (20% budget) provenienti da 18 progetti europei, 17 finanziamenti da istituzioni nazionali e internazionali, circa 60 progetti industriali
La produzione di IIT ad oggi vanta circa 6990 pubblicazioni, oltre 130 finanziamenti Europei e 11 ERC, più di 350 domande di brevetto attive, oltre 12 start up costituite e altrettante in fase di lancio. Dal 2009 l’attività scientifica è stata ulteriormente rafforzata con la creazione di dieci centri di ricerca nel territorio nazionale (a Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) e internazionale (MIT ed Harvard negli USA) che, unitamente al Laboratorio Centrale di Genova, sviluppano i programmi di ricerca del piano scientifico 2015-2017.
Istituto Italiano di Tecnologia (IIT) is a public research institute that adopts the organizational model of a private law foundation. IIT is overseen by Ministero dell'Istruzione, dell'Università e della Ricerca and Ministero dell'Economia e delle Finanze (the Italian Ministries of Education, Economy and Finance). The Institute was set up according to Italian law 326/2003 with the objective of promoting excellence in basic and applied research andfostering Italy’s economic development. Construction of the Laboratories started in 2006 and finished in 2009.
IIT has an overall staff of about 1,440 people. The scientific staff covers about 85% of the total. Out of 45% of researchers coming from abroad 29% are foreigners coming from more than 50 countries and 16% are returned Italians. The scientific staff currently consists of approximately 60 Principal Investigators, 110 researchers and technologists, 350 post-docs and 500 PhD students and grant holders and 130 technicians. External funding has allowed the creation of more than 330 positions . The average age is 34 and the gender balance proportion is 41% female against 59% male.
In 2015 IIT received 96 million euros in public funding (accounting for 80% of its budget) and obtained 22 million euros in external funding (accounting for 20% of its budget). External funding comes from 18 European Projects, other 17 national and international competitive projects and approximately 60 industrial projects.
So far IIT accounts for: about 6990 publications, more than 130 European grants and 11 ERC grants, more than 350 patents or patent applications, 12 up start-ups and as many which are about to be launched. The Institute’s scientific activity has been further strengthened since 2009 with the establishment of 11 research nodes throughout Italy (Torino, Milano, Trento, Parma, Roma, Pisa, Napoli, Lecce, Ferrara) and abroad (MIT and Harvard University, USA), which, along with the Genoa-based Central Lab, implement the research programs included in the 2015-2017 Strategic Plan.
