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?
Setup to study Attributed Agency in musical digital interactions. Visual augmentations can biased the perception of the level of control of a musician by the audience.
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?
TBED (Time resolved Bayesian Evidence Display) is a method designed to improve the reading and analysis of time series data. It applies a Bayesian t-test at each time point between two time series. The resulting Bayes Factors are then converted into decibans, providing a more intuitive and interpretable measure of evidence over time.
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
