Carolina Labbé- PhD
- UX Researcher at Microsoft
Carolina Labbé
- PhD
- UX Researcher at Microsoft
About
11
Publications
7,713
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380
Citations
Introduction
Carolina Labbé is an experimental psychologist specialised in cognitive and affective psychology with a focus in music and emotion. Her most recent publication is 'Affective experiences to chords are modulated by mode, meter, tempo, and subjective entrainment.'
Current institution
Additional affiliations
September 2013 - February 2014
November 2018 - July 2022
RMES Analytics
Position
- Product Manager
July 2018 - November 2018
McLean Consultores
Position
- English Teacher
Education
September 2010 - September 2015
September 2008 - September 2010
September 2005 - September 2008
Publications
Publications (11)
Scherer and Zentner (2001) propose that affective experiences might be the product of a multiplicative function between structural, performance, listener, and contextual related features. Yet research on the effects of structure, and particularly texture, has mostly focused on perceived emotions. We therefore sought to test the effects of structura...
In our study, two groups of participants (n = 61 and n = 58) listened to nine pieces for solo violin and rated how they felt along an affect dimension and along the nine Geneva Emotional Music Scale dimensions. After each piece, they completed a 12-item questionnaire corresponding to subjective entrainment reports. A factorial analysis of this Musi...
Rhythmic entrainment is an important component of emotion induction by music, but brain circuits recruited during spontaneous entrainment of attention by music and the influence of the subjective emotional feelings evoked by music remain still largely unresolved. In this study we used fMRI to test whether the metric structure of music entrains brai...
The emotions expressed through music have often been investigated by asking listeners to fill questionnaires at the end of a given musical performance or an excerpt; only few studies have been dedicated to the understanding of the dynamics of emotions expressed by music in laboratory or in social contexts. Based on a specific model of emotions rela...
Emotional prosody results from the dynamic variation of language’s acoustic non-verbal aspects that allow people to convey and recognize emotions. The goal of this paper is to understand how this recognition develops from childhood to adolescence. We also aim to investigate how the ability to perceive multiple emotions in the voice matures over tim...
Background: Emotional prosody is the result of the dynamic variation of acoustical non-verbal aspects of language that allow people to convey and recognize emotions. Understanding how this recognition develops during childhood to adolescence is the goal of the present paper. We also aim to test the maturation of the ability to perceive mixed emotio...
Mode and tempo are known to influence affective experiences during music listening. While mode (major/minor) is associated with emotional valence (positive/negative), tempo (slow/fast) is associated with emotional arousal (calm/excited). Heart rate (HR) and respiration rate (RR) are also thought to adapt (entrain) to the tempo, leading to emotion e...
The authors would like to provide the readership of Neuropsychologia with a reference that was missing from the original publication of our review, namely:
Berger, D. S. (2016). Eurhythmics for autism and other neurophysiologic diagnoses: A sensorimotor music-based treatment approach. Jessica Kingsley Publishers.
The authors would like to apologize...
The practice of a musical discipline and of Dalroze Eurythmics in particular allows for the development of several corollary skills in children. Through a practice integrating music, body, and action we studied the impact of these activities on the evolution of children’s perception and mental representations of their bodies, also known as body sch...
Questions
Questions (2)
Hi,
I was wondering about best practices for processing and especially pre-processing the raw EDA signal, particularly with AcqKnowledge, when solely interested in the Skin Conductance Level (i.e. tonic EDA). I'm looking for changes in arousal over longish periods of time 30-60 s and sometimes the level of (high frequency) noise in the raw signal is just crazy. Since I'm new with SCL, I'm not sure of what filters ought to be applied. Anybody got any suggestions? Would smoothing be more appropriate?
Thanks
I believe this is an effect that can be found for reading text out-loud vs reciting text out loud as well, but I'm having a hard time finding references for instrumental performance.
