Rodríguez, Jafet
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Rodríguez, Jafet
Official Name
Rodríguez Muñoz, Arturo Jafet
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ORCID
Scopus Author ID
57192985100
Researcher ID
E-8210-2016

Research Output

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Publication

Decentralization: The Failed Promise of Cryptocurrencies

2019 , Valdivia, Leonardo , Del-Valle-Soto, Carolina , Rodríguez, Jafet , Alcaraz Rivera, Miguel

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Publication

Neuromarketing in the Digital Age: The Direct Relation between Facial Expressions and Website Design

2022 , Guillermo González-Mena , Del-Valle-Soto, Carolina , Corona, Violeta , Rodríguez, Jafet

User experience (UX) is key in the immediate and future relationship between the client and business. Achieving a satisfying UX can only be achieved by understanding the wishes and user needs. The following study is carried out as an improvement tool for a Mexican coffee company. The objective is to achieve greater efficiency, attraction, and engagement on the part of the user. The main question is whether the new dynamic website design can directly increase the valence of user emotions compared to the static website design. To answer this question, 39 participants were exposed to the two different web page designs and elicited the following emotions using eye tracking and facial expression analysis (FEA) techniques: joy, anger, surprise, fear, contempt, disgust, sadness, neutral, positive, and negative. Through a Wilcoxon signed-rank test, the results showed a significant increase for the new dynamic design in the following emotions; joy, anger, surprise, disgust, fear and neutral. Thus, five of the seven basic emotions had a significant change that could lead to greater attraction and commitment on the part of the user and also influence, either consciously or unconsciously, their decision when interacting with the company.

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Publication

Affective States and Virtual Reality to Improve Gait Rehabilitation: A Preliminary Study

2022 , Rodríguez, Jafet , Del-Valle-Soto, Carolina , Javier Gonzalez-Sanchez

Over seven million people suffer from an impairment in Mexico; 64.1% are gait-related, and 36.2% are children aged 0 to 14 years. Furthermore, many suffer from neurological disorders, which limits their verbal skills to provide accurate feedback. Robot-assisted gait therapy has shown significant benefits, but the users must make an active effort to accomplish muscular memory, which usually is only around 30% of the time. Moreover, during therapy, the patients’ affective state is mostly unsatisfied, wide-awake, and powerless. This paper proposes a method for increasing the efficiency by combining affective data from an Emotiv Insight, an Oculus Go headset displaying an immersive interaction, and a feedback system. Our preliminary study had eight patients during therapy and eight students analyzing the footage using the self-assessment Manikin. It showed that it is possible to use an EEG headset and identify the affective state with a weighted average precision of 97.5%, recall of 87.9%, and F1-score of 92.3% in general. Furthermore, using a VR device could boost efficiency by 16% more. In conclusion, this method allows providing feedback to the therapist in real-time even if the patient is non-verbal and has a limited amount of facial and body expressions.

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Publication

On the characterization strategy of a voter transition method and its influence on social choice

2017 , Alcaraz Rivera, Miguel , Del-Valle-Soto, Carolina , Rodríguez, Jafet

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Predictive Tool for Planning the Scaling and Interference of Wireless Sensor Networks

2018 , Rodríguez, Jafet , Del-Valle-Soto, Carolina

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Publication

Affect-Driven VR Environment for Increasing Muscle Activity in Assisted Gait Rehabilitation

2024 , Rodríguez, Jafet , Del-Valle-Soto, Carolina , Gonzalez Sanchez, Javier

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CML-WSN: A Configurable Multi-layer Wireless Sensor Network Simulator

2016 , Del-Valle-Soto, Carolina , Fernando Lezama , Rodríguez, Jafet , Carlos Mex-Perera , Enrique Munoz de Cote

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