This collection explores the core concepts of Ignacio Ellacuría's liberating philosophy; his critique of ideologies and continuity with critical theory; his philosophical anthropology and humanism; and the implications that praxis has for philosophical thought.

Latin American Immigration Ethics advances philosophical conversations and debates about immigration by theorizing migration from the Latin American and Latinx context.

v. 1. Sectio generalis.--v. 2. Sectio specialis: la tradizione scotista veneto-padovana.

The subject of the aesthetic has returned to cultural and literary debates with a vengeance. The Aesthetics of Cultural Studies is a timely and authoritative collection of essays that analyze the role of aesthetics in American and British cultural studies, and reflect on its recuperation in the field. Contains first-rate, original essays that analyze the role of aesthetics in American and British cultural studies, and reflect on its recuperation in the field. Contributors are leading scholars, internationally based. Includes substantial introductory (...) material by the editor. (shrink)

New energy vehicle is an innovative means of transportation, and its development has been widely concerned all over the world. However, few studies investigate the purchase intention of new energy vehicles from the perspective of combining altruism and cultural factors. Based on the extended norm activation model, this study explores the influencing factors of NEVs’ purchasing intention and the moderating effects of “mianzi” and green peer influence. According to 302 valid questionnaires, the results indicated that the extended NAM model is (...) useful in predicting consumer purchasing behavior with an improved explanatory power in purchase intentions of NEVs from 15 to 26%. The awareness of consequences, the ascription of responsibility, and green self-identity have a positive impact on the personal norm. Personal norm and green self-identity are positively associated with purchase intention. “Mianzi” and green peer influence positively moderate the relationship between green self-identity and intention to purchase. The findings give new insights into the impact of cultural factors on purchasing NEVs and profound suggestions for policymakers and enterprises to promote the development of NEVs. (shrink)

Emotional design is an important development trend of interaction design. Emotional design in products plays a key role in enhancing user experience and inducing user emotional resonance. In recent years, based on the user's emotional experience, the design concept of strengthening product emotional design has become a new direction for most designers to improve their design thinking. In the emotional interaction design, the machine needs to capture the user's key information in real time, recognize the user's emotional state, and use (...) a variety of clues to finally determine the appropriate user model. Based on this background, this research uses a deep learning mechanism for more accurate and effective emotion recognition, thereby optimizing the design of the interactive system and improving the user experience. First of all, this research discusses how to use user characteristics such as speech, facial expression, video, heartbeat, etc., to make machines more accurately recognize human emotions. Through the analysis of various characteristics, the speech is selected as the experimental material. Second, a speech-based emotion recognition method is proposed. The mel-Frequency cepstral coefficient of the speech signal is used as the input of the improved long and short-term memory network. To ensure the integrity of the information and the accuracy of the output at the next moment, ILSTM makes peephole connections in the forget gate and input gate of LSTM, and adds the unit state as input data to the threshold layer. The emotional features obtained by ILSTM are input into the attention layer, and the self-attention mechanism is used to calculate the weight of each frame of speech signal. The speech features with higher weights are used to distinguish different emotions and complete the emotion recognition of the speech signal. Experiments on the EMO-DB and CASIA datasets verify the effectiveness of the model for emotion recognition. Finally, the feasibility of emotional interaction system design is discussed. (shrink)