Publications

Emojis’ psychophysics: Measuring emotions in technology enhanced learning contexts  (2019)

Authors:
Burro, R.; Pasini, M.; Raccanello, D.
Title:
Emojis’ psychophysics: Measuring emotions in technology enhanced learning contexts
Year:
2019
Type of item:
Contributo in volume (Capitolo o Saggio)
Tipologia ANVUR:
Contributo in volume (Capitolo o Saggio)
Language:
Inglese
Book Title:
Advances in Intelligent and Soft Computing
Page numbers:
70-78
Keyword:
Emojis; Learning; Fundamental measurement; Rasch models; Psychophysical scaling
Short description of contents:
Emojis are pictorial representations of human facial expressions which are becoming particularly popular in computer-mediated communication. Within text-based messages, they function as surrogates of real nonverbal elements to convey emotional meanings, but in absence of a verbal label they can re-sult ambiguous. In addition, a quantification of how much positive and/or negative valence is expressed by different emojis is still missing. We asked to 110 adults to evaluate 81 emojis on two scales, relating to positive and negative valence. Through Rasch models, we quantified the amount of posi-tive and negative valence expressed by each emoji, deleting those emojis that were not scalable on the considered dimensions. This study is a preliminary step for the development of a set of scales formed by emojis representing discrete emotions, to be used in a variety of ways in psychological research as well as in learning contexts or for product evaluation purposes.
Product ID:
103273
Handle IRIS:
11562/980968
Last Modified:
November 29, 2022
Bibliographic citation:
Burro, R.; Pasini, M.; Raccanello, D., Emojis’ psychophysics: Measuring emotions in technology enhanced learning contexts Advances in Intelligent and Soft Computing2019pp. 70-78

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

Related projects
Title Department Managers
Sviluppo di strumenti per valutare la competenza emotiva Department Scienze Umane Daniela Raccanello, Roberto Burro, Margherita Brondino
<<back

Activities

Research facilities

Share