Persona representativa y persona representata en Hobbes Alcalde Ordóñez, Micael
Ingenium. Revista Electrónica de Pensamiento Moderno y Metodología en Historia de las Ideas,
07/2024, Letnik:
18, Številka:
18
Journal Article
Odprti dostop
El objetivo del presente artículo es realizar una comparación entre las definiciones de persona en el Leviatán de Hobbes de la edición inglesa de 1651 y de la edición latina de 1668. Para ello, ...tendremos en cuenta los posibles cambios que se hayan podido producir en la definición de persona con la publicación del De Homine en 1658, mostrando la importancia que tienen las constantes referencias al teatro en este proceso. Finalmente, intentaremos sugerir la hipótesis de que la persona natural en Hobbes es siempre una construcción artificial.
This book is about the ways in which experiments can be employed in the context of research on learning technologies and child–computer interaction (CCI). It is directed at researchers, supporting ...them to employ experimental studies while increasing their quality and rigor. The book provides a complete and comprehensive description on how to design, implement, and report experiments, with a focus on and examples from CCI and learning technology research. The topics covered include an introduction to CCI and learning technologies as interdisciplinary fields of research, how to design educational interfaces and visualizations that support experimental studies, the advantages and disadvantages of a variety of experiments, methodological decisions in designing and conducting experiments (e.g. devising hypotheses and selecting measures), and the reporting of results. As well, a brief introduction on how contemporary advances in data science, artificial intelligence, and sensor data have impacted learning technology and CCI research is presented. The book details three important issues that a learning technology and CCI researcher needs to be aware of: the importance of the context, ethical considerations, and working with children. The motivation behind and emphasis of this book is helping prospective CCI and learning technology researchers (a) to evaluate the circumstances that favor (or do not favor) the use of experiments, (b) to make the necessary methodological decisions about the type and features of the experiment, (c) to design the necessary “artifacts” (e.g., prototype systems, interfaces, materials, and procedures), (d) to operationalize and conduct experimental procedures to minimize potential bias, and (e) to report the results of their studies for successful dissemination in top-tier venues (such as journals and conferences). This book is an open access publication.
•This study proposes a guideline to create a predictive persona by using data-mining predictive algorithms.•The proposed method aims to improve the accuracy and credibility of personas.•We discuss ...the strengths, weaknesses, and using scenarios of each types of persona creating methods.
A persona is a widely used tool in the design field to help understand users’ needs, experiences, behaviors, and goals. Quantitatively creating personas is gaining importance for its greater representability, objectivity, and fast creative speed. However, quantitative personas built using traditional statistical methods may not reflect the marketing goals of decision-makers, and they mainly focus on categorizing existing users rather than predicting target customers. To address the research gap, this study proposes a guideline to create a predictive persona by using data-mining algorithms resulting in personas that can be validated. The proposed method aims to improve the accuracy and credibility of personas to effectively predict new customers for target marketing. We demonstrate a step-by-step guideline for creating the proposed predictive persona using real user data, validating its credibility, and comparing its predictive power against traditional quantitative personas. We thoroughly discuss the strengths and weaknesses of qualitative personas, traditional quantitative personas, and predictive personas while portraying suitable scenarios in which each type of persona is appropriate.
•Deepfake personas carry uncanniness that lower their usability in design tasks.•Persona modality has a great effect on persona perception in design tasks.•Classic persona profile is perceived more ...natural in design tasks than deepfakes.•Deepfakes are a potential future media for personas in design tasks.
Deepfakes, realistic portrayals of people that do not exist, have garnered interest in research and industry. Yet, the contributions of deepfake technology to human-computer interaction remain unclear. One possible value of deepfake technology is to create more immersive user personas. To test this premise, we use a commercial-grade service to generate three deepfake personas (DFs). We also create counterparts of the same persona in two traditional modalities: classic and narrative personas. We then investigate how persona modality affects the perceptions and task performance of the persona user. Our findings show that the DFs were perceived as less empathetic, credible, complete, clear, and immersive than other modalities. Participants also indicated less willingness to use the DFs and less sense of control, but there were no differences in task performance. We also found a strong correlation between the uncanny valley effect and other user perceptions, implying that the tested deepfake technology might lack maturity for personas, negatively affecting user experience. Designers might also be accustomed to using traditional persona profiles. Further research is needed to investigate the potential and downsides of DFs.
Los resultados de los estudios evacuados en materia de política criminal han evidenciado la necesidad de realizar verdaderas reformas legislativas a nivel interno y en materia de cooperación ...internacional con el fin de contrarrestar el impacto negativo que en materia delincuencial vienen mostrando los riesgos derivados de la creación de empresas que se sirven de su poder económico para vulnerar bienes colectivos y de interés para los Estados. El derecho administrativo sancionador se ha mostrado ineficiente frente a los retos propuestos por estas personas jurídicas, quienes han utilizado a las distintas formas de asociación para ofrecer una “fachada” de legalidad y perpetrar conductas desviadas en el seno de la sociedad. Por esta razón se muestra como razonable efectuar ingentes esfuerzos por utilizar la ductilidad del derecho y armonizarlo con la realidad social, implementando para el efecto un sistema propio de imputación penal para las personas jurídicas o empresariales.
The ability of a dialogue model to keep not being out of context during a conversation, so-called keeping the consistency, has long been a critical issue in generating more human-like personalized ...responses. However, most of the previous works have focused on a self persona to sustain the self consistency during a conversation. Since the consistency is not limited to only the self side, there still lies the problem where generated responses often contradict the utterance of a partner. This kind of behavior discourages the user from responding and eventually causes the user to leave the conversation. To prevent this from happening, our work focuses on recognizing the partner persona. We propose a new model, PEDA (Persona Extractor based on Dialogue Act), and construct an appropriate dataset for training the model. Specifically, dialogue acts are utilized to identify the utterances that capture a user’s persona. The proposed model extracts the partner persona from the combination of utterances and their dialogue acts. We propose a dialogue act conductor to properly consider the dialogue act as an input and make use of it with the pre-trained language model. A proposed gating mechanism controls the probability distributions from dialogue act conductor and pre-trained language model. Finally, we train the model further by setting up a reinforcement learning framework with our evaluation network.
•Existing dialogue agents generate responses not consistent with their partners.•To generate a partner-consistent response, persona extraction is an essential task.•Dialogue act is an attribute that conveys the intent of the speaker.•Method for utilizing dialogue act for persona extraction.•Reinforcement learning framework for model’s stability in noisy situations.
Although quite natural for human beings to communicate based on their own personality in daily life, it is rather challenging for neural dialog systems to do the same. This is because the general ...dialog systems are difficult to generate diverse responses while at the same time maintaining consistent persona information. Existing methods basically focus on merely one of them, ignoring either of them will reduce the quality of dialog. In this work, we propose a two-stage generation framework to promote the persona-consistency and diversity of responses. In the first stage, we propose a persona-guided conditional variational autoencoder (persona-guided CVAE) to generate diverse responses, and the main difference when compared with general CVAE-based model is that we use additional dialog attribute to assist the latent variables to encode the effective information in the response and further use it as a guiding vector for response generation. In the second stage, we employ persona-consistency checking module and the response rewriting module to mask the inconsistent word in the generated response prototype and rewrite it to more consistent. Automatic evaluation results demonstrate that the proposed model is able to generate diverse and persona-consistent responses.
