Peter Kuppens's research while affiliated with Leuven University College and other places

... In comparison, less is known about the environmental factors at the country-level that can facilitate the success of conspiracy theories (Imhoff, 2022). A few recent studies have shown, through international comparisons, that the level of conspiracy beliefs is higher in countries with lower GDP per capita (Hornsey et al., 2023;Hornsey & Pearson, 2022) and higher economic inequalities (Cordonier, Cafiero & Bronner, 2021;Hornsey & Pearson, 2022). In addition, countries' levels of collectivism and authoritarianism appear to be positively associated with their level of conspiracy beliefs (Adam-Troian et al., 2021;Hornsey & Pearson, 2022). ...

... One of the specific challenges in analyzing mobile sensing data alongside ESM data is that the 2 must be aligned, despite being collected at very different timescales and frequencies [37]. The function link in the mpathsenser package does exactly this. ...

... Introduction Recent research and theory highlight the dynamic nature of emotion regulation, challenging the use of global trait questionnaires and laboratory tasks to measure emotion regulation (Colombo et al., 2020;Kuppens, Dejonckheere, Kalokerinos, & Koval, 2022). However, despite the increased employment of ecological momentary assessment (EMA) in affective science , empirical evidence of the reliability and validity of this approach to measure emotion regulation remains limited (Medland, De France, Hollenstein, Mussoff, & Koval, 2020). ...

... Supplemental Material 4 depicts the within-person level correlations of ER strategies and emotions. ER strategies correlated positively with each other at both within-and betweenperson levels, as typical in EMA datasets (Koval et al., 2022;Tammilehto et al., 2022). Regarding recalled parenting styles, rejection and warmth showed strong negative correlations in general parenting, fathering, and mothering. ...

... While some theoretical models of affect describe arousal and valence as orthogonal (e.g. Posner et al., 2005), converging evidence points towards a V-shaped relationship (Yik et al., 2022). This matches the existence of both high arousal positively valenced music ("happy" or "joyful") music and high arousal, negatively valenced ("angry" or "agitating") music. ...

... Frequency analysis of thermal signal permits of course to find the single most informative components of the underlying phenomena, allowing to obtain a more detailed insight on the dataset. Indeed, it has been largely employed in the field of thermal IR imaging applied on human studies [35][36][37] It is of fundamental importance to observe that the present work is highly innovative given that it is the first time that a machine learning classifier relying on features extracted from a completely non-invasive and contactless technique has been used to segment the tumor area from the health tissue with outstanding performances. Table 3 shows a summary of the state-of-the-art works in the field of cancer detection and it is possible to note that the present model is the first machine-learning based approach ever developed in the IR imaging research context. ...

... The ability to perform various of emotion during speaking is also one of the typical characters of human. Therefore, technology trends to develop advanced speech emotion recognition systems in the demand of enhancing the interaction between computer and human beings, and thus emotion classification/recognition gradually become an undeniably essential application in voice signal processing and human-computer interaction [1][2][3][4]. ...

... We are aiming to solve these problems that are inherited by the state-of-the-art SER systems from their RNN-type layers, and we will propose a different approach to enlarge the model receptive field without largely increasing its computational complexity. This paper provides details of an improved version of the end-to-end SER model which has been proposed earlier by the authors [20]. The main contributions of this paper can be summarised as follows: ...

... However, what is usually ignored is that the structure, and thus the underlying measurement model, is dynamic in itself; that is, the affect structure can depend on individual characteristics (e.g., age, gender, personality; Brose et al., 2015;Vogelsmeier et al., 2021) and contextual stimuli (e.g., social cues, events; Bleidorn & Peters, 2011;Dejonckheere et al., 2021). For instance, depending on the individual and context, a measurement model with distinct emotion categories or a model with a bipolar valence dimension may underlie the data (Erbas, Ceulemans, Blanke, et al., 2018). The former could underlie responses of individuals with high emotion differentiation, who can easily distinguish separate emotion categories like anger and sadness (Barrett et al., 2001). ...

... In Cho (2016), a bootstrap procedure is proposed, which is motivated by the representation theory developed for the Generalised Dynamic Factor Model, in order to approximate the quantiles of the developed double CUSUM test statistic under the null hypothesis of no change-points; the obtained quantiles are used as a test criterion for detection. In Cabrieto et al. (2018), a permutation-based approach is used to test the presence of correlation changes in multivariate time series. Under a univariate framework, in Antoch and Hušková (2001) a permutation scheme is proposed for deriving critical values for test statistics based on functionals of the partial sums k i=1 (X i −X n ), k = 1, . . . ...