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Rebecca Schaefer

Datos Biográficos

ID9668390
NOMBRERebecca Schaefer
NOMBRESRebecca
APELLIDOSchaefer
FIRMASCHAEFER R
AFILIACIONESLeiden University
ORCID0000-0002-8859-3730
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2026
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H0
  • A music recommendation system for constructed music-evoked episodic memories (CoMeems)

    Open Access•Paul Raingeard de la Bletiere, Mark Neerincx et al.•ARTICLE•International Journal of…•2026

    Music is widely used in human–computer interaction (HCI) to enhance engagement, sustain attention, and support cognitive stimulation. Yet its potential for deliberate mood regulation, particularly through personalized memory recall, remains largely unexplored. Music-evoked autobiographical memories (MEAMs) are often elicited by well-known, favorite songs, yielding stronger mood effects than music without personal memory associations. However, son…

Sin obras prominentes en esta página.

  • A music recommendation system for constructed music-evoked episodic memories (CoMeems)

    Open Access•Paul Raingeard de la Bletiere, Mark Neerincx et al.•ARTICLE•International Journal of…•2026

    Music is widely used in human–computer interaction (HCI) to enhance engagement, sustain attention, and support cognitive stimulation. Yet its potential for deliberate mood regulation, particularly through personalized memory recall, remains largely unexplored. Music-evoked autobiographical memories (MEAMs) are often elicited by well-known, favorite songs, yielding stronger mood effects than music without personal memory associations. However, son…

Autobiographical memory (1 obra) · Cognition (1 obra) · Emotion and Mood Recognition (1 obra) · Episodic memory (1 obra) · Lyrics (1 obra) · Mood (1 obra) · Music Therapy and Health (1 obra) · Neuroscience and Music Perception (1 obra) · Recommender system (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae