Ciencias Exactas y Ciencias de la Salud

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Influence of human error and situational awareness in decision-making in complex tasks. Case of study: forklifts operators
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2024-11-19) Arias Portela, Claudia Yohana; Mora Vargas, Jaime; emipsanchez; Castillo Martínez, Juan Alberto; González Mendoza, Miguel; Thierry Aguilera, Ricardo; School of Engineering and Sciences; Campus Ciudad de México; Caro Gutiérrez, Martha Patricia
This dissertation investigates situational awareness (SA) and human errors in logistics operations, using a multiphase and multifactorial approach as an innovative approach. The research responds the question of how SA errors can be assessed, along with their influence on decision-making in complex tasks, by considering a comprehensive HFE approach to various triggering factors. Characterization of the process with ethnography and process mapping, analysis of visual attention with Eye-tracking and retrospective think-aloud (RTA), an Error taxonomy and the bases of a data science approach were used to study the diverse cognitive, behavioral, and operational aspects affecting SA. Analyzing 566 events across 18 tasks, the research highlights eye-tracking's potential by offering real-time insights into operator behavior, and RTA as a method for cross-checking the causal factors underlying errors. Critical tasks, like positioning forklifts and lowering pallets, significantly impact incident occurrence, while high cognitive demand tasks such as hoisting and identifying pedestrians/obstacles, reduce SA and increase errors. Driving tasks are particularly vulnerable and are the most affected by operator risk generators (ORG), representing 42% of events with a risk of incident. The study identifies driving, hoisting and lowering loads as the tasks most influenced by system factors. Limitations include the task difficulty levels, managing physical risk, and training. Future research is suggested in autonomous industrial vehicles and advanced driver assistance systems (ADAS). This study provides valuable insights for improving safety in logistics operations by proposing a multiphase and multifactorial approach to uncover patterns of attention, perception and cognitive errors, and their impact on decision-making in the logistic field
Multi-sensory immersion to improve the user experience in the decision-making process
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2021-11-23) Azofeifa Ugalde, Jose Daniel; Noguez Monroy, Juana Julieta; puemcuervo; Molina Espinosa, José Martín; Romero Díaz, David Carlos; Benes, Bedrich; School of Engineering and Sciences; Campus Ciudad de México; Ruiz Loza, Sergio
In daily life, human beings interact with the real world in an intrinsic multi-sensory way, obtaining information and interacting through the use of various senses that allow them to perceive the environment. At a computational level there are virtual environments with which people are allowed to interact with certain degrees of freedom in which the user experience is sought to be as friendly as possible and allowing the user to feel comfortable and involved with the virtual environment. This work presents a collection of information on related work of multi-sensory human-computer interaction, in which users interact with a virtual environment through the use of various senses. The user experience, can be defined as dealing with how the user feels and understands the virtual environment when using it. Collaborative decision-making, which is the process in which two or more people meet to solve a concern cooperatively seeking to achieve a consensus after analyzing the situation and the different scenarios that it has. A Decision-Making Centers allows decision-makers to visualize and carry out large-scale analysis in person, interacting and collaborating with each other to reach a consensus that benefits all parties involved, immersive virtual reality, which are virtual environments in which the user has a greater sense of presence within the environment, and remote sessions in real-time, which are the way to communicate at a distance in real-time. In addition, this work addresses the need to have an immersive multi-sensory virtual environment in which people can come together to make collaborative decisions remotely in real-time, allowing decision-makers to feel as if they were in a traditional Decision-Making Center in person, but with the advantages offered by multi-sensory, immersive, remote, collaborative virtual reality in real-time. Therefore, a software architecture is proposed that allows the creation of Multi-sensory Virtual Decision-Making Centers (MVDC) with the capabilities of being collaborative, immersive, and remote in real-time. Together with this architecture, a multi-sensory environment was created which is the first MVDC that exists, this MVDC has the characteristics and capabilities to carry out remote collaborative decision-making sessions in real-time in addition to adding an immersive multi-sensory experience while using it, ensuring that the sense of presence among decision-makers is not lost and allowing the remote decision-making session to be as similar to a face-to-face session. Along with this, an experiment and analysis of the results are carried out to validate the improvement of the user experience when carrying out remote decision-making sessions in real-time with the MVDC environment. Finally, the conclusions obtained from the work carried out are presented and some ideas and recommendations are presented for future work related to what has been presented.
Framework for consistent generation of linked data: the case of the user's academic profile on the web
(Instituto Tecnológico y de Estudios Superiores de Monterrey, 2018-11-16) Alvarado Uribe, Joanna.; ALVARADO URIBE, JOANNA; 563990; González Mendoza, Miguel.; Ceballos Cancino, Héctor Gibrán.; Campus Estado de México

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