While I can’t say too much about my current research on emotion given most of it is ongoing, here’s some interesting stuff on things I’ve worked on before. The most related work has been focused on establishing the viability of various methods in the domain of EEG and eye-tracking. Click the link below to see how about two of the most exciting papers that emerged from this line of work.
VISUAL ATTENTION
With regards the other things I’ve worked on, I started out my career with the aim of uncovering individual differences that drive susceptibility in forming false memories (running the first EEG study on the misinformation effect while I was at it!). After working on that for a few years with some success (see Kiat & Belli 2018; Kiat, Long, Belli, 2018; Kiat & Belli 2017), it soon became clear that while measures of false event memories certainly have enough precision to drive cool science, they just don’t have enough reliability to work as individual difference predictors.
With that in mind, I then shifted to focus on individual differences in affectivity reactivity instead, looking at how individual differences in neural responsivity to social cues and risky situations could be used to shed light on how our brains engage with the rich social environments around them. This proved to be a productive line of work that led to papers in a bunch of cool work featured in Neuroimage, SCAN, and a host of other solid journals.
My most recent work continues to build on these lines, dialing up the knob a little by integrating machine-learning approaches from both a data-processing perspective (i.e. multivariate decoding methods) and a data-generating one (i.e. training neural network models to do different things and linking their output activations to neural activity). I’ll have a section on that (the coolest one yet) up sometime mid-2024). Till then!