The present study introduces eight comic styles (i.e., fun, humor, nonsense, wit, irony, satire, sarcasm, and cynicism) and examines the validity of a set of 48 marker items for their assessment, the Comic Style Markers (CSM). These styles were originally developed to describe literary work and are used here to describe individual differences. Study 1 examines whether the eight styles can be di...

BACKGROUND AND PURPOSE Behavioural-variant frontotemporal dementia (bvFTD) and Alzheimer's disease (AD) patients experience behavioural and emotion recognition alterations, yet understanding of how socioemotional processing is affected with disease progression is minimal. Additionally, evidence suggests that bvFTD patients with limited brain atrophy on neuroimaging at presentation (bvFTD-la) ha...

There is growing evidence that sleep plays a pivotal role on health, cognition and emotional regulation. However, the interplay between sleep and social cognition remains an uncharted research area. In particular, little is known about the impact of sleep deprivation on sarcasm detection, an ability which, once altered, may hamper everyday social interactions. The aim of this study is to determ...

Impairments of social cognition are often leading features in frontotemporal lobar degeneration (FTLD) and likely to reflect large-scale brain network disintegration. However, the neuroanatomical basis of impaired social cognition in FTLD and the role of white matter connections have not been defined. Here we assessed social cognition in a cohort of patients representing two core syndromes of F...

Conversations emerge as the primary media for exchanging ideas and conceptions. From listener’s perspective, identifying various affective qualities, such sarcasm, humour, emotions, is paramount comprehending true connotation of emitted utterance. However, one major hurdles faced in learning these affect dimensions presence figurative language, viz. irony, metaphor, or sarcasm. We hypothesize t...

Cognitive NLP systemsi.e., NLP systems that make use of behavioral data augment traditional text-based features with cognitive features extracted from eye-movement patterns, EEG signals, brain-imaging etc.. Such extraction of features is typically manual. We contend that manual extraction of features may not be the best way to tackle text subtleties that characteristically prevail in complex cl...