Dr Massimiliano (Max) Di Luca

Massimiliano (Max) Di Luca

School of Psychology
Senior Lecturer in Computational Neuroscience

Contact details

School of Psychology
Hills Building 2.04
University of Birmingham
B15 2TT

Max Di Luca - Research in 60 seconds videoDr Di Luca investigates the mechanisms of human perception using psychophysical methods and computational modeling. The goal of his research is to understand how the brain progressively builds the perception of the environment by picking up information through actions and by integrating sensations over time.

Personal website: http://massimilianodiluca.info/


  • 2000, Laurea in Psychology, Università di Trieste, Italy
  • 2006, PhD in Cognitive Science, Brown University, USA


  • 2016-2017 Mind, Brain, and Models 
  • 2014-2015 Mind, Brain, and Models
  • 2014-2015 Foundations of CNCR 
  • 2013-2014 Mind, Brain, and Models
  • 2013-2014 Foundations of CNCR 
  • 2012-2013 Mind, Brain, and Models

Postgraduate supervision

Max Di Luca’s research interests are within the field of human perception with the goal of understanding how the brain combines multisensory information for perception and action. Dr Di Luca is especially interested in capturing the temporal properties of multisensory processing and to model the computations performed in obtaining a percept. For this, Dr Di Luca uses psychophysical methods, signal processing, Bayesian modeling, and a wide range of technological tools. Current research covers several areas of perception and action:

Perception of temporal properties
Temporal factors in multisensory integration
Visual-haptic interaction
Perceptual recalibration
3D shape perception


Highlight publications

Di Luca, M, Seifi, H, Egan, S & Gonzalez-Franco, M 2021, Locomotion vault: the extra mile in analyzing VR locomotion techniques. in CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems., 128, CHI: Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM), 2021 ACM CHI Virtual Conference on Human Factors in Computing Systems, 8/05/21. https://doi.org/10.1145/3411764.3445319

Di Luca, M & Rhodes, D 2016, 'Optimal perceived timing: integrating sensory information with dynamically updated expectations', Scientific Reports, vol. 6, 28563. https://doi.org/10.1038/srep28563

Di Luca, M, Ernst, MO & Backus, BT 2010, 'Learning to use an invisible visual signal for perception', Current Biology, vol. 20, no. 20, pp. 1860-1863. https://doi.org/10.1016/j.cub.2010.09.047

Di Luca, M, Machulla, T-K & Ernst, MO 2009, 'Recalibration of multisensory simultaneity: cross-modal transfer coincides with a change in perceptual latency', Journal of Vision, vol. 9, no. 12, pp. 7.1-16. https://doi.org/10.1167/9.12.7

Sun, H-C, Welchman, AE, Chang, DHF & Di Luca, M 2016, 'Look but don't touch: Visual cues to surface structure drive somatosensory cortex', NeuroImage, vol. 128, pp. 353-361. https://doi.org/10.1016/j.neuroimage.2015.12.054

Recent publications


Kawazoe, A, Reardon, G, Woo, E, Di Luca, M & Visell, Y 2021, 'Tactile echoes: multisensory augmented reality for the hand', IEEE Transactions on Haptics. https://doi.org/10.1109/TOH.2021.3084117

Fornaciai, M & Di Luca, M 2020, 'Causality shifts the perceived temporal order of audio-visual events', Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037/xhp0000754

Roberts, R, Loomes, A, Allen, H, Di Luca, M & Wing, A 2020, 'Contact forces in roughness discrimination', Scientific Reports, vol. 10, no. 1, 5108 . https://doi.org/10.1038/s41598-020-61943-x

van Beek, FE, King, RJ, Brown, C, Luca, MD & Keller, S 2020, 'Static Weight Perception Through Skin Stretch and Kinesthetic Information: Detection Thresholds, JNDs, and PSEs', IEEE Transactions on Haptics, vol. 14, no. 1, pp. 20-31. https://doi.org/10.1109/TOH.2020.3009599

Van Beek, FE, King, RJ, Brown, C, Di Luca, M & Keller, S 2020, 'Static weight perception through skin stretch and kinesthetic information: detection thresholds, JNDs, and PSEs', IEEE Transactions on Haptics. https://doi.org/10.1109/TOH.2020.3009599

Sarac, M, Okamura, AM & Luca, MD 2019, 'Effects of Haptic Feedback on the Wrist during Virtual Manipulation', arXiv preprint arXiv:1108.0673.

Conference contribution

Abdlkarim, D, Ortenzi, V, Pardi, T, Filipovica, M, Wing, A, Kuchenbecker, KJ & Di Luca, M 2021, PrendoSim: proxy-hand-based robot grasp generator. in O Gusikhin, H Nijmeijer & K Madani (eds), Proceedings of the 18th International Conference on Informatics in Control, Automation and Robotics. SciTePress Digital Library, pp. 60-68, 18th International Conference on Informatics in Control, Automation and Robotics, 6/07/21. https://doi.org/10.5220/0010549800600068

Di Luca, M, de Grosbois, J, King, R & Ziat, M 2020, The Predictive Perception of Dynamic Vibrotactile Stimuli Applied to the Fingertip. in 2020 IEEE Haptics Symposium (HAPTICS). https://doi.org/10.1109/HAPTICS45997.2020.ras.HAP20.9.699b3778

de Grosbois, J, Di Luca, M, King, R, Parise, C & Ziat, M 2019, Exogenous cueing of visual attention using small, directional, tactile cues applied to the fingertip. in 2019 IEEE World Haptics Conference (WHC)., 8816122, IEEE World Haptics Conference (WHC), Institute of Electrical and Electronics Engineers (IEEE), pp. 455-460, IEEE World Haptics Conference 2019, Tokyo, Japan, 9/07/19. https://doi.org/10.1109/WHC.2019.8816122

Sarac, M, Okamura, AM & Di Luca, M 2019, Haptic Sketches on the Arm for Manipulation in Virtual Reality. in world haptics conference. IEEE World Haptics Conference.


Di Luca, M, Liu, T & Israr, A, Systems and methods for delivering a plurality of haptic effects, Patent No. 11030865. <https://patentimages.storage.googleapis.com/3e/4f/b0/3f56a980bc0f10/US11030865.pdf>

Di Luca, M Jun. 17 2021, Systems and methods for delivering a plurality of haptic effects, Patent No. 16714212. <https://www.freepatentsonline.com/y2021/0181845.html>

Di Luca, M, 62/812,967.


Seifi, H, Di Luca, M & Gonzalez-Franco, M, Locomotion vault, 2021, Software. <https://locomotionvault.github.io>

Abdlkarim, D, Filipovica, M, Pardi, T, Ortenzi, V, Wing, A, Kuchenbecker, KJ & Di Luca, M, PrendoSim, 2021, Software. <https://prendosim.github.io>

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