Um método analítico para avaliação de respostas emocionais na Interação Humano- Computador

Abstract

Emotion is an important factor in Human-Computer Interaction (HCI) that influences users’ behavior and satisfaction. Empirical methods, i.e., when users are directly involved, are often applied to assess emotional responses evoked by the user interface, but the cost of data collection and analysis is generally high. The adoption of analytical methods is an alternative to the high cost. Although analytical methods are widely accepted in the HCI area, there is a lack of analytical evaluations for emotional responses. The proposed analytical method in this work adopts the semiotic framework and Peirce’s ten classes of signs for the analysis of the design proposal and by the Scherer’s Semantic Space of Emotions for the association of possible emotional responses evoked by the interface signs. The current version of the proposed method was applied to a case study and results were considered consistent when compared with those obtained through empirical methods.