A comparative study of users' subjective feeling collection instruments

Autor(es):Mostrar menos -

da Silva, Leticia G. Zacano ; Guimaraes, Patricia Deud ; de Souza Gomes, Luciana Oliveira ; de Almeida Neris, Vania Paula ; Kemczinski, A ; Santos, CQ ; Trevisan, DG ; Gasparini, I ; Zaina, L ; Pereira, M ; Mota, M ; Villela, MLB ; Falcao, TP ; Conte, TU ; Darin, TDR

• Tipo de documento: Artigo Científico
• Fonte: IHC 2020: PROCEEDINGS OF THE 19TH BRAZILIAN SYMPOSIUM ON HUMAN FACTORS IN COMPUTING SYSTEMS; v. N/A, p. 10-pg., 2020-01-01.

Resumo

Although interaction with computational systems influences human emotions, knowing what emotion emerges is a rather complex task. Researchers from the Human-Computer Interaction field employ several different methods to measure altered emotions and collecting data about users' subjective feeling is one of them. However, there is a lack of experimental studies that compare the different instruments used to evaluate these feelings. This paper carries out an investigation with four instruments - a set of emojis, the Self-Assessment Manikin, scroll sliders and Semantic Emotional Space - to find out which provides information about a subjective feeling that is closest to an emotion that has already been pre-classified by the literature for a given stimulus. The experiments involved 29 volunteers taking part in four experimental rounds. In each round, a volunteer watched a movie or part of a video clip and later randomly interacted with one of the instruments in a user interface. The results suggested that the scroll slider leads to a greater proximity to the pre-classified emotions. (AU)

• Processo FAPESP: 15/24523-8 - Emoweb: uma infraestrutura para a adaptação das interfaces de usuário da internet considerando emoções
• Beneficiário: Vânia Paula de Almeida Neris
• Modalidade de apoio: Auxílio à Pesquisa - Regular