Research

My research interests are at the intersection of cognitive neuroscience, human-computer interactions and data science. I am particularly interested in how we perceive and interact with artificial agents, how we can use microvariations in force to monitor cognitive processes, and how Bayesian approaches can inform our understanding of cognition and data analysis.

Research topics

Attributed agency

How do we perceive the human contribution in interactions involving artificial agents? How do we attribute agency to artificial agents? What are the consequences of this attribution for our interactions with them?

NoteRelated publications

Capra et al. (2020), Capra et al. (2017), Capra et al. (2018)

Bayesian approaches

Why Bayesian approaches are as relevant to study cognition than analysing data? The brain has proven itself to be a good Bayesian inferer, should bayesian approaches of data analysis be interpreted as reversed-engineered models of cognition?

Microforcography, Grip Force, …

How microvariations in force can be used to monitor cognitive processes ? Cumulated data expose the potential of these measures to monitor cognitive processes in real-time, how can we improve the methodology ?

Perceptive decision-making

Perception is already a (involontary) decision. Implications for a better collective decision process.

References

Capra, O., Berthaut, F., & Grisoni, L. (2017, September). Toward Augmented Familiarity of the Audience with Digital Musical Instruments. International Symposium on Computer Music Multidisciplinary Research. https://hal.science/hal-01577953
Capra, O., Berthaut, F., & Grisoni, L. (2018). Toward Augmented Familiarity of the Audience with Digital Musical Instruments. In Music Technology with Swing (pp. 558–573). Springer. https://hal.science/hal-01954791
Capra, O., Berthaut, F., & Grisoni, L. (2020, July). All You Need Is LOD : Levels of Detail in Visual Augmentations for the Audience. The 20th International Conference of New Interfaces for Musical Expression. https://hal.science/hal-02560794