João Vitor Meza Bravo
Datos Biográficos
| ID | 7248265 |
|---|---|
| NOMBRE | João Vitor Meza Bravo |
| NOMBRES | João Vitor Meza |
| APELLIDO | Bravo |
| FIRMA | BRAVO J V M |
| AFILIACIONES | Universidade Federal de Uberlândia |
| ORCID | 0000-0002-5457-3192 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2023 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Collaborative Emotional Mapping Through Street-Level Simulations and Open Dashboards
This study proposes a reproducible and semantically grounded framework for collaborative emotional mapping in urban contexts. Conducted in Curitiba, Brazil, the research explores how individuals emotionally experience the city through multimodal journeys simulated via digital platforms. Participants navigated five distinct urban scenarios using Google Street View and recorded their affective responses with a validated set of emoji symbols. These …
Unveiling Urban Emotions
La cartographie émotionnelle est un outil qui permet de cartographier l’émotion des gens envers un espace donné. Le présent article en explore l’utilisation pour l’analyse et la planification des espaces publics ouverts (EPO) des régions urbaines. Les organismes sociaux et spatiaux évolutifs que sont les villes dépendent des EPO pour enrichir la qualité de vie. L’étude met en lumière les défis du développement urbain, particulièrement dans les ré…
Crowdsourcing Map-Using and Map-Generating Tasks into OpenStreetMap
This article describes research to identify map-using and map-generating tasks in crowdsourcing. As a result, we identified a set of tasks from some users’ tests designed as two experiments. In Experiment 1, we interviewed eight individuals (in person) and seventy-eight individuals—by an online survey—within Experiment 2. They have different backgrounds and map-reading skills. We selected a geoinformation crowdsourcing platform, OpenStreetMap, fo…
Sin obras prominentes en esta página.
Crowdsourcing Map-Using and Map-Generating Tasks into OpenStreetMap
This article describes research to identify map-using and map-generating tasks in crowdsourcing. As a result, we identified a set of tasks from some users’ tests designed as two experiments. In Experiment 1, we interviewed eight individuals (in person) and seventy-eight individuals—by an online survey—within Experiment 2. They have different backgrounds and map-reading skills. We selected a geoinformation crowdsourcing platform, OpenStreetMap, fo…
Unveiling Urban Emotions
La cartographie émotionnelle est un outil qui permet de cartographier l’émotion des gens envers un espace donné. Le présent article en explore l’utilisation pour l’analyse et la planification des espaces publics ouverts (EPO) des régions urbaines. Les organismes sociaux et spatiaux évolutifs que sont les villes dépendent des EPO pour enrichir la qualité de vie. L’étude met en lumière les défis du développement urbain, particulièrement dans les ré…
Collaborative Emotional Mapping Through Street-Level Simulations and Open Dashboards
This study proposes a reproducible and semantically grounded framework for collaborative emotional mapping in urban contexts. Conducted in Curitiba, Brazil, the research explores how individuals emotionally experience the city through multimodal journeys simulated via digital platforms. Participants navigated five distinct urban scenarios using Google Street View and recorded their affective responses with a validated set of emoji symbols. These …
Cartography (2 obras) · Geography (2 obras) · Art (1 obras) · Civil engineering (1 obras) · Complement (music) (1 obras) · Computer Science (1 obras) · Context (archaeology) (1 obras) · Crowdsourcing (1 obras) · Data Management and Algorithms (1 obras) · Data science (1 obras)