Emotion word processing: does mood make a difference? [PDF]
, 2015 Visual emotion word processing has been in the focus of recent psycholinguistic research. In general, emotion words provoke differential responses in comparison to neutral words.
Bo eYao +5 more
core +1 more source
To Improve Is to Change: Towards Improving Mood Prediction by Learning Changes in Emotion [PDF]
arXiv, 2022 Although the terms mood and emotion are closely related and often used interchangeably, they are distinguished based on their duration, intensity and attribution. To date, hardly any computational models have (a) examined mood recognition, and (b) modelled the interplay between mood and emotional state in their analysis.
arxiv
Mood and creativity: an appraisal tendency perspective [PDF]
, 2013 There is a strong relationship between the mood one is in, and the way one performs creatively. Previous research has shown that this relationship is complex.
de Rooij, A., Jones, S.
core +1 more source
Older adults' attentional deployment : differential gaze patterns for different negative mood states [PDF]
, 2017 Background and objectives: Older adults are characterized by an attentional preference for positive over negative information. Since this positivity effect is considered to be an emotion regulation strategy, it should be more pronounced when emotion ...
De Raedt, Rudi +2 more
core +1 more source
Relations between depressed mood and vocal parameters before, during and after sleep deprivation: a circadian rhythm study [PDF]
, 1990 The mechanism underlying improvement after total sleep deprivation (TSD) was studied in 14 major depressed patients. The suggestions that (1) circadian processes and/or (2) dimensions of arousal may play a role in the response to TSD were investigated ...
Beersma, Domien G.M., +3 more
core +2 more sources
Alcohol Hangover and Multitasking: Effects on Mood, Cognitive Performance, Stress Reactivity, and Perceived Effort [PDF]
, 2020 The aim of this study was to examine the effects of hangover on mood, multitasking ability, and psychological stress reactivity to cognitive demand. Using a crossover design and semi-naturalistic methodology, 25 participants attended the laboratory in ...
Ayre, Elizabeth +5 more
core +2 more sources
The Contribution of Lyrics and Acoustics to Collaborative Understanding of Mood [PDF]
arXiv, 2022 In this work, we study the association between song lyrics and mood through a data-driven analysis. Our data set consists of nearly one million songs, with song-mood associations derived from user playlists on the Spotify streaming platform. We take advantage of state-of-the-art natural language processing models based on transformers to learn the ...
arxiv
Flow Moods: Recommending Music by Moods on Deezer [PDF]
arXiv, 2022 The music streaming service Deezer extensively relies on its Flow algorithm, which generates personalized radio-style playlists of songs, to help users discover musical content. Nonetheless, despite promising results over the past years, Flow used to ignore the moods of users when providing recommendations.
arxiv
Inflammation causes mood changes through alterations in subgenual cingulate activity and mesolimbic connectivity [PDF]
, 2009 BACKGROUND: Inflammatory cytokines are implicated in the pathophysiology of depression. In rodents, systemically administered inflammatory cytokines induce depression-like behavior.
Anand +48 more
core +5 more sources
Focus on Change: Mood Prediction by Learning Emotion Changes via Spatio-Temporal Attention [PDF]
arXiv, 2023 While emotion and mood interchangeably used, they differ in terms of duration, intensity and attributes. Even as multiple psychology studies examine the mood-emotion relationship, mood prediction has barely been studied. Recent machine learning advances such as the attention mechanism to focus on salient parts of the input data, have only been applied ...
arxiv