Dominique MakowskiUniversity of Sussex · School of Psychology
Dominique Makowski
PhD
Join us at the Reality Bending Lab! https://realitybending.github.io
About
67
Publications
56,503
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Introduction
Trained as a clinical neuropsychologist, I am currently a lecturer (assistant professor) at the University of Sussex. I lead the Reality Bending Lab, in which we research reality perception, fake news, illusions, fiction, deception, self-control, and more, using a combination of EEG and physiological signals (ECG, EDA…). We analyze them using advanced computational modelling, and we also develop open-source tools and software.
More details at https://realitybending.github.io/
Skills and Expertise
Education
September 2014 - September 2017
September 2014 - June 2017
French Association for Cognitive Behavioral Therapy (AFTCC)
Field of study
- Psychotherapy
September 2012 - June 2014
Publications
Publications (67)
Few studies have investigated the link between episodic memory and presence: the feeling of “being there” and reacting to a stimulus as if it were real. We collected data from 244 participants after they had watched the movie Avengers: Age of Ultron. They answered questions about factual (details of the movie) and temporal memory (order of the scen...
The ability to modulate our emotional experience, depending on our current goal and
context, is of critical importance for adaptive behavior. This ability encompasses various emotion regulation strategies, such as fictional reappraisal, at stake whenever engaging into fictional works (e.g., movies, books, video games or virtual environments). Neuro...
NeuroKit2 is an open-source, community-driven, and user-centered Python package for neurophysiological signal processing. It provides a comprehensive suite of processing routines for a variety of bodily signals (e.g., ECG, PPG, EDA, EMG, RSP). These processing routines include high-level functions that enable data processing in a few lines of code...
The conceptualization of deception as a dispositional trait is under-represented in the literature. Despite scientific evidence supporting the existence of individual differences in lying, a validated measure of dispositional deception is still lacking. This study aims to explore the structure of dispositional deception by validating a 16-item ques...
Visual illusions are a gateway to understand how we construct our experience of reality. Unfortunately, important questions remain open, such as the hypothesis of a common factor underlying the sensitivity to different types of illusions, as well as of personality correlates of illusion sensitivity. In this study, we used a novel parametric framewo...
While a large part of the deception literature focuses on lying detection, the factors contributing to one’s ability to lie remain unclear. The present study examined the contribution of Theory of Mind (ToM) and interoception on our ability to lie using a directed lie paradigm with two conditions (“Interrogation” and “Polygraph”), designed to enhan...
Sequential sampling models (SSMs) are a widely used framework describing decision-making as a stochastic, dynamic process of evidence accumulation. SSMs popularity across cognitive science has driven the development of various software packages that lower the barrier for simulating, estimating, and comparing existing SSMs. Here, we present a softwa...
Traditional philosophical inquiry, and more recently neuroscientific studies, have investigated the sources of artworks' aesthetic appeal. A substantial effort has been made to isolate the objective features contributing to aesthetic appreciation. While variables such as contrast or symmetry have been shown to robustly impact aesthetic judgment, th...
Beyond the challenge of keeping up to date with current best practices regarding the diagnosis and treatment of outliers, an additional difficulty arises concerning the mathematical implementation of the recommended methods. Here, we provide an overview of current recommendations and best practices and demonstrate how they can easily and convenient...
Beyond the challenge of keeping up-to-date with current best practices regarding the diagnosis and treatment of outliers, an additional difficulty arises concerning the mathematical implementation of the recommended methods. Here, we provide an overview of current recommendations and best practices and demonstrate how they can easily and convenient...
This paper reports on an online study to investigate the interaction between the environment typology, and crowdedness with aesthetic perceptions of the environment.
While a large part of the deception literature focuses on lying detection, the factors contributing to one's ability to lie remain unclear. The present study examined the contribution of Theory of Mind (ToM) and interoception on our ability to lie using a directed lie paradigm with two conditions ("Interrogation" and "Polygraph"), designed to enhan...
Although it may seem intuitive that people prefer spaces that are occupied to some extent and at other times are concerned by overcrowding, the tipping points at which a space becomes too empty or too crowded are difficult to define. In architecture and planning, new computational approaches such as space syntax and spatial network analysis allow d...
The field of statistical computing is rapidly developing and evolving. Shifting away from the formerly siloed landscape of mathematics, statistics, and computer science, recent advancements in statistical computing are largely characterized by a fusing of these worlds; namely, programming, software development, and applied statistics are merging in...
A long-lasting debate in the field of esthetics is the extent to which beauty is inherent to the object of appreciation or to the subject contemplating it. Several studies suggest that physical features of an artwork influence esthetic judgment. Nevertheless, this objectivist approach fails to explain the idiosyncratic nature of esthetic experience...
Filmmakers use different techniques (e.g., camera movements, editing) to shape viewers’ experience. In particular, editing can be used to handle the temporal unfolding of events represented in a movie. Nevertheless, little is known about how different editing types impact viewers’ time perception.
In an exploratory on-line study (90 participants) a...
Visual illusions highlight how the brain uses contextual and prior information to inform our perception of reality. Unfortunately, illusion research has been hampered by the difficulty to experimentally manipulate these stimuli, leaving unanswered the hypothesis of a potential unique factor underlying the sensitivity to different types of illusions...
The recent growth of data science is partly fueled by the ever-growing amount of data and the joint important developments in statistical modeling, with new and powerful models and frameworks becoming accessible to users. Although there exist some generic functions to obtain model summaries and parameters, many package specific modeling functions d...
Correlations tests are arguably one of the most commonly used statistical procedures, and are used as a basis in many applications such as exploratory data analysis, structural modelling, data engineering etc. In this context, we present correlation, a toolbox for the R language and part of the easystats collection, focused on correlation analysis....
The {datawizard} package for the R programming language provides a lightweight toolbox to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties and distributions. T...
The {datawizard} package for the R programming language (R Core Team, 2021) provides a lightweight toolbox to assist in key steps involved in any data analysis workflow: (1) wrangling the raw data to get it in the needed form, (2) applying preprocessing steps and statistical transformations, and (3) compute statistical summaries of data properties...
There has been an increasing trend towards the use of complexity analysis in quantifying neural activity measured by electroencephalography (EEG) signals. On top of revealing complex neuronal processes of the brain that may not be possible with linear approaches, EEG complexity measures have also demonstrated their potential as biomarkers of psycho...
Complexity quantification, through entropy, information theory and fractal dimension indices, is gaining a renewed traction in psychophsyiology, as new measures with promising qualities emerge from the computational and mathematical advances. Unfortunately, few studies compare the relationship and objective performance of the plethora of existing m...
Complexity quantification, through entropy, information and fractal dimension indices, is gaining a renewed traction in psychophysiology, as new measures with promising qualities emerge from the computational and mathematical advances. Unfortunately, few studies compare the relationship and objective performance of the plethora of existing metrics,...
Heart Rate Variability (HRV) can be estimated using a myriad of mathematical indices, but
the lack of systematic comparison between these indices renders the evaluation and interpretation of results difficult. In this study, we assessed the relationship between 57 HRV metrics collected from 302 human recordings using a variety of structure-analysis...
Visual illusions are fascinating phenomena that have been used and studied by artists and scientists for centuries, leading to important discoveries about the neurocognitive underpinnings of perception, consciousness, and neuropsychiatric disorders such as schizophrenia or autism. Surprisingly, despite their historical and theoretical importance as...
While electroencephalography (EEG) signals are commonly examined using conventional linear methods, there has been an increasing trend towards the use of complexity analysis in quantifying neural activity. On top of revealing complex neuronal processes of the brain that may not be possible with linear approaches, EEG complexity measures have also d...
The see package is embedded in the easystats ecosystem, a collection of R packages that operate in synergy to provide a consistent and intuitive syntax when working with statistical models in the R programming language (R Core Team, 2021). Most easystats packages return comprehensive numeric summaries of model parameters and performance. The see pa...
The see package is embedded in the easystats ecosystem, a collection of R packages that operate in synergy to provide a consistent and intuitive syntax when working with statistical models in the R programming language (R Core Team, 2021). Most easystats packages return comprehensive numeric summaries of model parameters and performance. The see pa...
Mind wandering, defined as focusing attention toward task unrelated thoughts, is a common mental state known to impair memory encoding. This phenomenon is closely linked to boredom. Very few studies, however, have tested the potential impact of boredom on memory encoding. Thus, the present study aimed at manipulating mind wandering and boredom duri...
The use of heart rate variability (HRV) in research has been greatly popularized over the past decades due to the ease and affordability of HRV collection, coupled with its clinical relevance and significant relationships with psychophysiological constructs and psychopathological disorders. Despite the wide use of electrocardiograms (ECG) in resear...
Episodic memory encoding is highly influenced by the availability of attentional resources. Mind wandering corresponds to a shift of attention toward task-unrelated thoughts. Few studies, however, have tested this link between memory encoding and mind wandering. The goal of the present work was to systematically investigate the influence of mind wa...
The use of heart rate variability (HRV) in research has been greatly popularized over the past decades due to the ease and affordability of HRV collection, coupled with its clinical relevance and significant relationships with psychophysiological constructs and psychopathological disorders. Despite the wide use of electrocardiogram (ECG) in researc...
A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many competing models. Upon investigation, fit indices should also be reported both visually and nume...
A crucial part of statistical analysis is evaluating a model's quality and fit, or performance. During analysis, especially with regression models, investigating the fit of models to data also often involves selecting the best fitting model amongst many competing models. Upon investigation, fit indices should also be reported both visually and nume...
In both theoretical and applied research, it is often of interest to assess the strength of an observed association. This is typically done to allow the judgment of the magnitude of an effect (especially when units of measurement are not meaningful, e.g., in the use of estimated latent variables; Bollen, 1989), to facilitate comparing between predi...
A long-lasting and unresolved debate in the field of aesthetics is whether beauty is inherent to the object of appreciation or to the subject contemplating it. Several studies suggest that physical features (e.g., symmetry, contrast) of an artwork influence aesthetic rating. Nevertheless, this objectivist approach fails to explain the idiosyncratic...
The recent growth of data science is partly fueled by the ever-growing amount of data and the joint important developments in statistical modeling, with new and powerful models and frameworks becoming accessible to users. Although there exist some generic functions to obtain model summaries and parameters, many package-specific modeling functions d...
Correlations tests are arguably one of the most commonly used statistical procedures, and are used as a basis in many applications such as exploratory data analysis, structural modelling, data engineering etc. In this context, we present correlation, a toolbox for the R language (R Core Team, 2019) and part of the easystats collection, focused on c...
NeuroKit2 is an open-source, community-driven, and user-friendly Python package dedicated to neurophysiological signal processing with an initial focus on bodily signals (e.g., ECG, PPG, EDA, EMG, RSP). Its design philosophy is centred on user-experience and accessibility to both novice and advanced users. The package provides a consistent set of h...
Prospective memory (PM) consists of remembering to perform an action that was previously planned. The recovery and execution of these actions require attentional resources. Mindfulness, as a state or a dispositional trait, has been associated with better attentional abilities while mind wandering is linked with attentional failures. In this study,...
While deception is considered as a common phenomenon with important implications, its conceptualization and study as a dispositional trait is under-represented in the literature. Critically, and despite scientific evidence supporting the existence of individual differences in lying, a validated measure of dispositional deception is still lacking. T...
Turmoil has engulfed psychological science. Causes and consequences of the reproducibility crisis are in dispute. With the hope of addressing some of its aspects, Bayesian methods are gaining increasing attention in psychological science. Some of their advantages, as opposed to the frequentist framework, are the ability to describe parameters in pr...
Emotion regulation (ER) plays an important role in psychological well-being. Therefore, its valid assessment is a crucial step in the investigation of the interindividual differences linked to effective ER. Adapting and validating a French version of the Affective Style Questionnaire (ASQ) and test its predictive power in detecting mood disorders....
Bodily states are heavily intertwined with cognitive processes. A prominent communication channel between bodily signals and brain structures is provided by baroreceptors. Their phasic activity associated with the cardiac phase has been shown to modulate cognitive control in socio‐emotional contexts. However, whether this effect is specific to the...
Turmoil has engulfed psychological science. Causes and consequences of the reproducibility crisis are in dispute. With the hope of addressing some of its aspects, Bayesian methods are gaining increasing attention in psychological science. Some of their advantages, as opposed to the frequentist framework, are the ability to describe parameters in pr...
The Bayesian framework for statistics is quickly gaining in popularity among scientists, for reasons such as reliability and accuracy (particularly in noisy data and small samples), the possibility of incorporating prior knowledge into the analysis, and the intuitive interpretation of results (Andrews & Baguley, 2013; Etz & Vandekerckhove, 2016; Kr...
Objectives. Prospective memory (PM) consists of remembering to perform an action that was previously planned. The recovery and execution of these actions require attentional resources. Mindfulness, as a state or a dispositional trait, has been associated with better attentional abilities. In this study, we investigated the impact of mindfulness on...
Emotion regulation (ER) plays an important role in psychological well-being. Therefore, its valid assessment is a crucial step in the investigation of the interindividual differences linked to effective ER. Adapting and validating a French version of the Affective Style Questionnaire (ASQ) and test its predictive power in detecting mood disorders....
Episodic memory (EM) is defined as a long-term memory system that stores information that can be retrieved along with details of the context of the original events (binding). Several studies have shown that manipulation of attention during encoding can impact subsequent memory performance. An influential model of attention distinguishes between thr...
Ribot’s Centenary (Part One). The Reception of Théodule Ribot’s Work Published by Ladrange (1870-1873)
The centenary of Ribot’s death is an opportunity to shed light upon the work of this founder of modern French psychology. Ribot’s books were promoted by the greatest publishers of that time. The authors of this paper focus on the presentation of R...
Life expectancy is constantly increasing in the developed countries due to medical, hygiene and socio-economic advances. Unfortunately, a longer life not always corresponds to a healthier life. Indeed, aging is associated with growing risk factors for illness associated with societal conditions (isolation, maltreatment), and neurodegenera- tive dis...
Recent theories in the field of embodied cognition have pointed out the role of the body for episodic memory, i.e. the memory for personally experienced events. Although virtual embodiment has been used traditionally to investigate the different components of bodily self, it provides great advantages to manipulate the whole embodied experience. In...
Life expectancy is constantly increasing. However, a longer life not always corresponds to a healthier life. Indeed, even normal aging is associated with a decline in different cognitive functions. It has been proposed that a central mechanism that could contribute to this widespread cognitive decline is an ineffective inhibitory attentional contro...
Aging is usually associated with cognitive decline, specifically of the executive functions supported by the frontal lobe. However, in line with observations about the preservation or even the increase of well-being with age, it has been suggested that emotion regulation efficiency follows the same developmental trajectory, remaining stable over ti...
See the video here : www.youtube.com/watch?v=Hvs7t5G_dLM
Abstract :
Comment se développe notre capacité à juger de l'esthétique d'une œuvre d'Art ?
À l'heure où la Science et l'Art se retrouvent pour construire la Neuroesthétique, il est important de comprendre comment se construisent et sont mis en jeu les processus cognitifs qui interviennen...