Technologies Applied to the analysis and control of communicative perception
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Summary: The current information and communication technologies have generated new environments and rhythms in the transmission and socialization of content that, in addition to generating an authentic flood of communication, are in constant transformation. The streams of data and concepts that unleash these new realities are very difficult to grasp with conventional methodological tools for social research.
All this evolution has also promoted an industry of new technological tools aimed at facilitating the management of this enormous volume of communicative content, its instrumental analysis and the possibility of adapting scientific research to its production and growth rates.
The direct consequence of the two previous currents has been that the studies related to the process of perception of the messages are undergoing a profound renovation of their methodological tools, incorporating technologies and instruments aimed at increasing the degree of efficiency and the capacity to capture and manage objective data, both on messages and on perceptions.
Thus, in the field of technologies applied to the study and control of messages and their perception, we can currently find support instruments:
- For visual analysis (“ImageJ”, “ImageQuant TL”, etc.)
- For acoustic analysis (“Praat”, “CSV”, “WavePad”, etc.)
- For the analysis of interviews and discussion groups (“ATLAS.ti”, “QSR Nvivo”, etc.)
- For the preparation and development of surveys and perception tests (“Google Forms”, “Doodle”, “Qualtrics”, “ProtocoloEva”, etc.).
- For content analysis and text mining (“MAXQDA”, “WordStat”, etc.)
- For statistical analysis (“SPSS”, “SAS”, “JAMOVI”, “JASP”, etc.)
- For biometric measurement (Eye tracking, EEG, GSR, Facial Expression, etc.)
And all this applied instrumentation is already promoting research currents very focused on expanding and contrasting the predictive capacities of comunicology.
- Technologies for scientific research
- Information management
- Data visualization
- Analysis types
- Statistic analysis
Academic general coordinator:
- Dr. Ángel Rodríguez Bravo. President of the Scientific Association for the Evaluation and Measurement of Human Values (AEVA).
- Dra. Norminanda Montoya Vilar. Secretary General of the Scientific Association for the Evaluation and Measurement of Human Values (AEVA).
- Magister Erika Marisol Ruiz Castillo. (Autonomous University of Barcelona)
- Magister Adriana Margarita Hernández López. (Autonomous University of Barcelona).
- Magister Paulina Guajardo Figueroa. (Autonomous University of Barcelona).
- Magister Mariela Costa Carvalho (Paulista State University, Brazil).
- Dr. Gerson Martins (Federal University of Mato Grosso do Sul, Brazil)
- Dr. David Badajoz Dávila (Autonomous University of Barcelona, Spain)
- Dr. Silvia Andrea Cristian Ladaga, (University of La Plata, Argentina)
- Dra. Lissa Valeria Fernandes Ferreira (Federal University of Rio Grande do Norte, Natal, Brazil)
- Dra. Cecilia Morales del Río (University of Monterrey, Mexico)
- Dr. Patrícia Lázaro Pernias. (Autonomous University of Barcelona, Spain)
- Dr. Patricia Núñez Gómez (Complutense University of Madrid), Spain)
- Dra. Rosa Torres Valdés (University of Alicante, Spain)
- Dra. Elaine Lopes da Silva (Autonomous University of Barcelona, Spain)
- Dr. César Viana Teixeira (Pontifical Catholic University of Goiás, Brazil)
- Dra. Carmen Marta Lazo (University of Zaragoza, Spain)
- Dra. Suely Maciel ((Paulista State University, Brazil)
- Dra. Rafaella Lopes Pereira Peres (Federal University of Mato Grosso do Sul, Brazil)
- Dr. Francisco García García (Complutense University of Madrid, Spain)
- Dra. Patricia Adriana del Ponti (University of La laguna, Spain)
- Dra. Carmen Rodríguez Wangüemert (University of La Laguna, Spain)