Music emotion recognition: Toward new, robust standards in personalized and context-sensitive applications

JS Gómez-Cañón, E Cano, T Eerola… - IEEE Signal …, 2021 - ieeexplore.ieee.org
Emotion is one of the main reasons why people engage and interact with music. Songs can
express our inner feelings, produce goosebumps, bring us to tears, share an emotional state …

Personality research and assessment in the era of machine learning

C Stachl, F Pargent, S Hilbert… - European Journal …, 2020 - journals.sagepub.com
The increasing availability of high–dimensional, fine–grained data about human behaviour,
gathered from mobile sensing studies and in the form of digital footprints, is poised to …

Personality and recommender systems

M Tkalčič, L Chen - Recommender systems handbook, 2012 - Springer
Personality, as defined in psychology, accounts for the individual differences in users'
preferences and behaviour. It has been found that there are significant correlations between …

TROMPA-MER: an open dataset for personalized Music Emotion Recognition

JS Gómez-Cañón, N Gutiérrez-Páez, L Porcaro… - Journal of Intelligent …, 2023 - Springer
We present a platform and a dataset to help research on Music Emotion Recognition (MER).
We developed the Music Enthusiasts platform aiming to improve the gathering and analysis …

BIRAFFE2, a multimodal dataset for emotion-based personalization in rich affective game environments

K Kutt, D Drążyk, L Żuchowska, M Szelążek, S Bobek… - Scientific data, 2022 - nature.com
Generic emotion prediction models based on physiological data developed in the field of
affective computing apparently are not robust enough. To improve their effectiveness, one …

[PDF][PDF] Attentive to Individual: A Multimodal Emotion Recognition Network with Personalized Attention Profile.

JL Li, CC Lee - Interspeech, 2019 - isca-archive.org
A growing number of human-centered applications benefit from continuous advancements
in the emotion recognition technology. Many emotion recognition algorithms have been …

Personality-based affective adaptation methods for intelligent systems

K Kutt, D Drążyk, S Bobek, GJ Nalepa - Sensors, 2020 - mdpi.com
In this article, we propose using personality assessment as a way to adapt affective
intelligent systems. This psychologically-grounded mechanism will divide users into groups …

Recognizing users feedback from non-verbal communicative acts in conversational recommender systems

B De Carolis, M de Gemmis, P Lops… - Pattern Recognition Letters, 2017 - Elsevier
Conversational recommender systems produce personalized recommendations of
potentially useful items by utilizing natural language dialogues for detecting user …

Human-Behavior-Based Personalized Meal Recommendation and Menu Planning Social System

T Islam, AR Joyita, MGR Alam… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The traditional dietary recommendation systems are basically nutrition or health-aware
where the human feelings on food are ignored. Human affects vary when it comes to food …

The role of personality traits in participation in an Online Cancer Community

B Badreddine, Y Blount, M Quilter - Aslib Journal of Information …, 2023 - emerald.com
Purpose The purpose of this study was to investigate how personality traits influence
participative behaviour in an Online Cancer Community (OCC). Design/methodology …