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  5. Effects of Emotional Visual Scenes on the Ability to Decode Emotional Melodies
 
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Effects of Emotional Visual Scenes on the Ability to Decode Emotional Melodies

Author(s)
Esposito, Anna  
Esposito, Antonietta M.  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione OV, Napoli, Italia  
Esposito, Marilena  
Riviello, Maria Teresa  
Vinciarelli, Alessandro  
Bourbakis, Nikolaos  
Type
Conference paper
Language
English
Obiettivo Specifico
5TM. Informazione ed editoria
Status
Published
Journal
IEEE 28th International Conference on Tools with Artificial Intelligence, ICTAI 2016  
Date Issued
2016
Conference Location
San Jose; United States
DOI
10.1109/ICTAI.2016.0124
URI
https://www.earth-prints.org/handle/2122/12398
Subjects

Artificial intelligen...

Decoding

Abstract
An effective change in Human Computer Interaction requires to account of how communication practices are transformed in different contexts, how users sense the interaction with a machine, and an efficient machine sensitivity in interpreting users' communicative signals, and activities. To this aims, the present paper investigates on whether and how positive and negative visual scenes may alter listeners' ability to decode emotional melodies. Emotional tunes were played alone and with, either positive, or negative, or neutral emotional scenes. Afterword, subjects (8 groups, each of 38 subjects, equally balanced by gender) were asked to decode the emotional feeling aroused by melodies ascribing them either emotional valences (positive, negative, I don't know) or emotional labels (happy, sad, fear, anger, another emotion, I don't know). It was found that dimensional emotional features rather than emotional labels strongly affect cognitive judgements of emotional melodies. Musical emotional information is most effectively retained when the task is to assign labels rather than valence values to melodies. In addition, significant misperception effects are observed when happy or positively judged melodies are concurrently played with negative scenes.
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IEEE_ICTAI_2016_paper_225.pdf

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