A comparative study of users’ subjective feeling collection instruments

  • Letícia Gabrielly Zacano da Silva Universidade Federal de São Carlos
  • Patrícia Deud Guimarães Universidade Federal de São Carlos
  • Luciana Oliveira de Souza Gomes Universidade Federal de São Carlos
  • Vânia Paula de Almeida Neris Universidade Federal de São Carlos


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.
Palavras-chave: user interface, emotion, subjective feeling, emoji, SAM, scroll slider, Semantic Emotional Space
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DA SILVA, Letícia Gabrielly Zacano; GUIMARÃES, Patrícia Deud; GOMES, Luciana Oliveira de Souza; NERIS, Vânia Paula de Almeida. A comparative study of users’ subjective feeling collection instruments. In: SIMPÓSIO BRASILEIRO SOBRE FATORES HUMANOS EM SISTEMAS COMPUTACIONAIS (IHC), 14. , 2020, Evento Online. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2020 . p. 11-20.