Comparative study of user experience evaluation techniques based on mouse and gaze tracking

Author:

Aviz Igor Leonardo1,Souza Kennedy Edson1,Ribeiro Elison1,de Mello Junior Harold2,Seruffo Marcos César da R.3

Affiliation:

1. Federal University of Pará, Belém, Pará

2. Rio de Janeiro State University, Rio de Janeiro, RJ

3. Federal University of Pará, Belém, PA

Publisher

ACM

Reference12 articles.

1. W. Banuenumah F. Sekyere and K. A. Dotche. 2017. Field survey of smart metering implementation using a simple random method: A case study of New Juaben Municipality in Ghana. In 2017 IEEE PES PowerAfrica. 352--357. 10.1109/PowerAfrica.2017.7991250 W. Banuenumah F. Sekyere and K. A. Dotche. 2017. Field survey of smart metering implementation using a simple random method: A case study of New Juaben Municipality in Ghana. In 2017 IEEE PES PowerAfrica. 352--357. 10.1109/PowerAfrica.2017.7991250

2. João Batista da Silva Júnior and Artur Henrique Kronbauer. 2018. A new approach to identifying the potentialities of User Experience techniques. In Anais do XXIV Simpósio Brasileiro de Multimídia e Web. SBC Porto Alegre RS Brasil 291--294. https://sol.sbc.org.br/index.php/webmedia/article/view/4590 João Batista da Silva Júnior and Artur Henrique Kronbauer. 2018. A new approach to identifying the potentialities of User Experience techniques. In Anais do XXIV Simpósio Brasileiro de Multimídia e Web. SBC Porto Alegre RS Brasil 291--294. https://sol.sbc.org.br/index.php/webmedia/article/view/4590

3. Jose Antonio Diego-Mas Diana Garzon-Leal Rocio Poveda-Bautista and Jorge Alcaide-Marzal. 2019. User-interfaces layout optimization using eye-tracking mouse movements and genetic algorithms. Applied Ergonomics 78 (July 2019) 197--209. 10.1016/j.apergo.2019.03.004 Jose Antonio Diego-Mas Diana Garzon-Leal Rocio Poveda-Bautista and Jorge Alcaide-Marzal. 2019. User-interfaces layout optimization using eye-tracking mouse movements and genetic algorithms. Applied Ergonomics 78 (July 2019) 197--209. 10.1016/j.apergo.2019.03.004

4. Ridge Regression: Biased Estimation for Nonorthogonal Problems

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