SAET: The Non-Verbal Measurement Tool in User Emotional Experience

Autor: Yujia Liu, Jianmin Wang, Fang You, Jinjing Mao, Tianyang Yue, Yuxi Wang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Applied Sciences, Vol 11, Iss 7532, p 7532 (2021)
Applied Sciences; Volume 11; Issue 16; Pages: 7532
ISSN: 2076-3417
Popis: In this paper, the development process and validation of a self-assessment emotion tool (SAET) is described, which establishes an emotion-assessment method to improve pictorial expression design. The tool is based on an emotion set of emotional-cognition-derived rules obtained from an OCC model proposed by Ortony, Clore, and Collins, and the emotion set and expression design are validated by numerical computation of the dimensional space pleasure–arousal–dominance (PAD) and the cognitive assessment of emotion words. The SAET consists of twenty images that display a cartoon figure expressing ten positive and ten negative emotions. The instrument can be used during interactions with visual interfaces such as websites, posters, cell phones, and vehicles, and allows participants to select interface elements that elicit specific emotions. Experimental results show the validity of this type of tool in terms of both semantic discrimination of emotions and quantitative numerical validation.
Databáze: OpenAIRE