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Emoweb: an infrastructure to adapt the internet user interfaces considering emotions

Abstract

The emotions evoked during the use of an interactive computer system are an important aspect of the user experience. It is known that emotions affect attention, perception, memory, behavior, purchasing decisions, learning, among others. Therefore, in addition to considering aspects of usability and accessibility, designers should also consider which emotions they want to try to evoke with the user interfaces. On the Internet, this problem is as interesting as complex. With the diversity of applications and people browsing for different purposes like entertainment, communication and shopping, provide user interfaces adapted to the emotional state of each individual, emphasizing a desired emotional state or changing an unwanted state, can positively influence the Internet use experience. However, as the emotions are sensitive to internal and external events, they are highly dependent on the individuals' different profiles and the interaction context. Thus, to offer user interfaces that consider emotions requires an infrastructure that allows flexibility and quick response. This project aims to investigate and build an infrastructure for this purpose. The term infrastructure, in this project, means software and hardware solutions, including as scientific and technological results: a) a system architecture, b) software and hardware mechanisms for collecting and processing emotions in interaction time and c) a knowledge base with design rules for adapting the user interface considering the emotional state of the user. The results will be demonstrated through experimental implementation in the Internet. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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VEICULO: TITULO (DATA)
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
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; et al. A comparative study of users' subjective feeling collection instruments. IHC 2020: PROCEEDINGS OF THE 19TH BRAZILIAN SYMPOSIUM ON HUMAN FACTORS IN COMPUTING SYSTEMS, v. N/A, p. 10-pg., . (15/24523-8)
DE ASSUNCAO, WILLIAN GARCIAS; DE ALMEIDA NERIS, VANIA PAULA; ABDENNADHER, S; ALT, F. An algorithm for music recommendation based on the user's musical preferences and desired emotions. 17TH INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS MULTIMEDIA (MUM 2018), v. N/A, p. 9-pg., . (15/24523-8)
GARCIA, FRANCO EUSEBIO; BRANDAO, ROBERTA PEREIRA; DO PRADO MENDES, GABRIEL CHEBAN; DE ALMEIDA NERIS, VANIA PAULA; LAMAS, D; LOIZIDES, F; NACKE, L; PETRIE, H; WINCKLER, M; ZAPHIRIS, P. Able to Create, Able to (Self-)Improve: How an Inclusive Game Framework Fostered Self-Improvement Through Creation and Play in Alcohol and Drugs Rehabilitation. HUMAN-COMPUTER INTERACTION - INTERACT 2019, PT I, v. 11746, p. 22-pg., . (15/24523-8)