Article
Business
Amit Kumar, Nicholas Epley
Summary: This response focuses on the potential role of intentions and anticipated impressions in affecting undersociality, as well as the possibility of interactions that could moderate the gap between people's expectations of social engagement and their actual experiences. The paper highlights the need for further empirical research to better understand undersociality by investigating intentions, impressions, and interactions.
JOURNAL OF CONSUMER PSYCHOLOGY
(2023)
Review
Multidisciplinary Sciences
Yair Ziv, Bat Sheva Hadad
Summary: The paper proposes ways to assess currently unattended levels of processing to further understand the mental mechanisms driving social information processing and consequent social behaviors.
Review
Business
Clara Sofie Hemshorn de Sanchez, Fabiola H. Gerpott, Nale Lehmann-Willenbrock
Summary: Scholars are increasingly using innovative research designs and techniques to capture the behaviors of leaders and/or followers in real interactions. Through a systematic review and the development of a research agenda, they aim to inspire further exploration in this emerging research stream.
JOURNAL OF ORGANIZATIONAL BEHAVIOR
(2022)
Article
Engineering, Electrical & Electronic
Hsien- Lin, Fauzy Satrio Wibowo, Nurani Lathifah, Wen-Hui Chen
Summary: In this study, a behavior analysis method was proposed to improve the efficiency of human-robot collaboration in an assembly task. By considering human fatigue and adaptation ability, and switching from cooperation to collaboration, the proposed method showed to be faster and more effective than the previous method in chair assembly.
Article
Computer Science, Cybernetics
Nadine Aburumman, Marco Gillies, Jamie A. Ward, Antonia F. de C. Hamilton
Summary: Nonverbal communication, specifically head nodding behaviors, plays a crucial role in human communication. This research demonstrates that virtual humans who mimic realistic head nodding patterns are more liked and trusted by participants, highlighting the importance of incorporating this element into virtual interactions.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2022)
Article
Engineering, Electrical & Electronic
Sally A. Male, Roberto B. Togneri, Lu C. Jin
Summary: Signal processing involves abstract and complex concepts, with two major threshold concepts identified: time-frequency transformation and discretization. Overcoming these thresholds requires years of self-regulated learning. To support students in signal processing, integrated units, real application examples, and practical exercises are recommended.
IEEE SIGNAL PROCESSING MAGAZINE
(2021)
Article
Psychology, Multidisciplinary
David Matsumoto, Matthew Wilson
Summary: This paper presents a model that integrates consciousness into the study of emotion and nonverbal behavior (NVB), emphasizing the neural pathways involved in NVB. The model suggests that both conscious and unconscious movements are activated by cortical and subcortical structures, and that mental states are associated with these structures as well. As a result, NVB occurs in multiple channels, both unconsciously and consciously, and varies over time. The implications of this model for future research and theory are discussed.
Review
Psychology, Multidisciplinary
Laetitia Aurelie Renier, Marianne Schmid Mast, Nele Dael, Emmanuelle Patricia Kleinlogel
Summary: The development of new technologies and approaches, such as social signal processing, has made it possible to train algorithms to automatically code nonverbal behavior based on video recordings, reducing costs and making it a more attractive research field in studying kinesics. However, researchers need to be cautious about biases and contextual dependence that algorithms may exhibit when extracting nonverbal behavior data.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Nursing
Filiz Kantek, Hande Yesilbas, Nezaket Yildirim, Bahar Dundar Kavakli
Summary: This study used social network analysis to determine advice-seeking interactions among nurses in a private hospital. The results showed that nurse Y1 had the highest scores in degree and betweenness centrality. Education, department, and position were found to be the most common variables affecting the degree centrality scores.
INTERNATIONAL NURSING REVIEW
(2023)
Article
Engineering, Biomedical
Emma Farago, Adrian D. C. Chan
Summary: This paper examines three methods for synthesizing motion artifact data and finds that the RNN method is the most promising in terms of synthesizing diverse motion artifact data that resembles the properties of experimental data.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2021)
Article
Public, Environmental & Occupational Health
Paul L. Hutchinson, Udochisom Anaba, Dele Abegunde, Mathew Okoh, Paul C. Hewett, Emily White Johansson
Summary: This study found that knowledge, approval of family planning, and social influences, particularly from husbands, were all associated with improved family planning outcomes. Women who personally approved of family planning were more likely to use modern contraception, and spousal communication played a critical role in influencing contraceptive use intentions.
Article
Health Care Sciences & Services
David Pocs, Otilia Adamovits, Jezdancher Watti, Robert Kovacs, Oguz Kelemen
Summary: This study revealed a significant negative correlation between the like reaction and organic reach on Facebook, while haha reaction, comments, and love reaction showed significant positive correlations with organic reach. Nonfan reach correlated positively with shares and clicks, while fan reach correlated positively with haha reaction, comments, and love reaction. These findings suggest a possible disadvantage of the like reaction and advantages of other interactions on Facebook algorithmic ranking.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2021)
Article
Robotics
Karen Tatarian, Rebecca Stower, Damien Rudaz, Marine Chamoux, Arvid Kappas, Mohamed Chetouani
Summary: The study explored the impact of multi-modal behaviors of social robots on participants' perception of social intelligence, focusing on modalities such as spatial navigation, gaze mechanisms, kinesics, and social dialogue. The results revealed insights into how different modalities in multi-modal interactions affect user behavior outcomes.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2022)
Article
Computer Science, Artificial Intelligence
Piercosma Bisconti
Summary: This paper theoretically addresses the significance of unintentional and inconsistent interactional elements in human-robot interactions, highlighting the potential consequences on human-robot relational patterns and human-human relations. It argues that the absence of precise interactional elements can reshape interactional patterns and lead to the generation of new types of interactional settings.
MINDS AND MACHINES
(2021)
Article
Engineering, Electrical & Electronic
Patrick Flandrin
Summary: Joseph Fourier's methods are widely used in audio signal processing. However, it took some time for these ideas to be applied in the field of sound analysis, and different paths were initially followed, with or without reference to Fourier. This highlights the interplay between mathematics and physics, and the important role played by instrumentation, including inventions by individuals outside academia such as Rudolph Koenig and Edouard- Leon Scott de Martinville.
IEEE SIGNAL PROCESSING MAGAZINE
(2023)
Article
Computer Science, Artificial Intelligence
Nujud Aloshban, Anna Esposito, Alessandro Vinciarelli
Summary: The joint analysis of linguistic and acoustic aspects of speech can accurately discriminate between depressed and nondepressed speakers, with an accuracy above 80%. Multimodal approaches outperform unimodal ones due to people's tendency to manifest their condition through one modality only, leading to diversity across unimodal approaches.
COGNITIVE COMPUTATION
(2022)
Article
Computer Science, Artificial Intelligence
Terry Amorese, Marialucia Cuciniello, Alessandro Vinciarelli, Gennaro Cordasco, Anna Esposito
Summary: The study found that participants of different ages and genders have different performances in interpreting and recognizing emotional expressions conveyed by virtual agents. Young people and women perform better in recognizing certain emotions, while there are also differences between different age groups and genders.
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
(2022)
Article
Computer Science, Information Systems
Paolo Buono, Berardina De Carolis, Francesca D'Errico, Nicola Macchiarulo, Giuseppe Palestra
Summary: This study aims to assess student engagement level through facial behavior and predict it using Long Short-Term Memory (LSTM) networks. The results show a weak correlation between engagement prediction from facial behavior and students' subjective answers, but a stronger correlation when considering the emotional dimension of engagement.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Article
Green & Sustainable Science & Technology
Rosa Scardigno, Giuseppe Mininni, Paolo Giovanni Cicirelli, Francesca D'Errico
Summary: This study explores the re-signification of the Matera community in a rapidly changing environment, analyzing the psychosocial value of the Cultural Heritage of the Mega Event M19 through the variables of culture, participation, and sense of community and identity. Critical discourse analysis is used to analyze the positioning of both front and backstage, revealing the impact of Matera's uniqueness and unresolved fragilities on the opportunities and needs of M19.
Editorial Material
Engineering, Electrical & Electronic
Lorenzo Picinali, Brian F. G. Katz, Michele Geronazzo, Piotr Majdak, Arcadio Reyes-Lecuona, Alessandro Vinciarelli
IEEE SIGNAL PROCESSING MAGAZINE
(2022)
Article
Computer Science, Information Systems
Cristina Bosco, Viviana Patti, Simona Frenda, Alessandra Teresa Cignarella, Marinella Paciello, Francesca D'Errico
Summary: This paper studies the formation and application of stereotypes from the perspectives of psychology and computational linguistics. By building an Italian social media corpus and conducting lexical analysis and experiments, the aim is to provide theoretical basis for the development of tools that automatically detect and label Italian stereotypes.
INFORMATION PROCESSING & MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Francesca D'Errico, Paolo Giovanni Cicirelli, Concetta Papapicco, Rosa Scardigno
Summary: This study aims to improve adolescents' perception of risks and promote protective behaviors through a digital game named 'Scare-away risks'. Results show that playing this game is related to higher levels of engagement, internal locus of control, risk perception, and protective behavioral intentions.
MULTIMODAL TECHNOLOGIES AND INTERACTION
(2022)
Article
Psychology, Educational
Francesca D'Errico, Paolo Giovanni Cicirelli, Giuseppe Corbelli, Marinella Paciello
Summary: The present study investigates the effectiveness of promoting socio-analytic thinking to intervene in the reliance on ethnic moral disengagement caused by racial misleading news, which contributes to the spread of ethnic prejudice. The study focuses on racial hoaxes, which are misleading news stories involving health or safety threats and ethnic or national identities. The intervention procedure incorporates literature on media biases' reflection and recent studies on 'mediated intergroup contact'. The results show that social-analytic processing reduces ethnic biases of moral disengagement, suggesting that improving social-analytic processes can effectively counter distorted beliefs associated with discrimination and racial prejudice.
SOCIAL PSYCHOLOGY OF EDUCATION
(2023)
Article
Psychology, Multidisciplinary
Alessia Mastropietro, Stefano Migliorisi, Isora Sessa, Francesco Borgogno, Francesca D'Errico, Laurent Licata, Giovanna Leone
Summary: European capital cities are filled with material traces of colonialism, including both institutional reminders and ephemeral objects that glorify colonial domination. The reactions of descendants of former colonizers to these traces suggest that colonial tropes still shape their contemporary understanding of the past. A comprehensive decolonization effort should not only include previously marginalized minorities, but also raise awareness among the majorities about the harmful implications of unquestioned colonial legacies. Furthermore, awareness of the impact of material traces could contribute to redesigning European physical spaces to be more inclusive for descendants of formerly colonized groups.
PSYCHOLOGY AND DEVELOPING SOCIETIES
(2023)
Article
Social Sciences, Interdisciplinary
Giuseppe Corbelli, Paolo Giovanni Cicirelli, Francesca D'Errico, Marinella Paciello
Summary: This study examines the possibility of preventing prejudice among adolescents by promoting the analytical processing of social media content. The results suggest a negative relationship between affective prejudice and socio-analytical processing, and find that this analytical performance is influenced by implicit activation and inhibitory factors.
SOCIAL SCIENCES-BASEL
(2023)
Article
Social Sciences, Interdisciplinary
Rosa Scardigno, Alessia Paparella, Francesca D'Errico
Summary: In the era of post-truth, the COVID-19 pandemic has triggered an alarming infodemic characterized by the widespread use of misinformation and emotional rhetoric, resulting in a decline in trust in science, institutions, and traditional media. This study conducted a qualitative investigation of 112 fake and conspiracy news articles in Italy, analyzing their psycholinguistic and argumentative features and differentiating them based on Aristotle's rhetoric stances. The findings revealed that although fake and conspiracy news share common roots in the post-truth climate, they engage in different rhetoric patterns and construct specific epistemic pathways. The implications for health and digital literacy are discussed.
QUALITATIVE REPORT
(2023)
Article
Engineering, Multidisciplinary
Francesca D'Errico, Isabella Poggi
Summary: The study showed that the charisma and emotional expression conveyed by political leaders on social media are influenced by their political and power positions. Expressing negative emotions leads to more negative emotions and evaluations, while emotionally regulated charismatic politicians can enhance users' perception of their competence and increase their voting intentions.
ACTA POLYTECHNICA HUNGARICA
(2022)
Article
Psychology, Multidisciplinary
Alessia Mastropietro, Peter Bull, Francesca D'Errico, Isora Sessa, Stefano Migliorisi, Giovanna Leone
Summary: This research examines the impact of coherence between facial expressions and words in Obama's autobiographical sharing on receivers' perception. The findings suggest that a facial expression of contempt, consistent with descriptions of his difficulties, is crucial for perceiving his humble political discourse as authentic rather than a simple socially desirable posturing.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Psychology, Multidisciplinary
Francesca D'Errico, Giuseppe Corbelli, Concetta Papapicco, Marinella Paciello
Summary: This study examines the personal factors that influence the online sharing of moral misleading news, including personal values, communication bias, credibility evaluations, and moral emotions. The results show that self-transcendence values impede the sharing of misleading news, while conservation values promote it. Additionally, news written with a less blatantly biased linguistic frame is consistently rated as more credible, and more credible and emotionally activating news is more likely to be shared online.
BEHAVIORAL SCIENCES
(2022)
Article
Social Sciences, Interdisciplinary
Francesca D'Errico, Peter Bull, Ernestina Lamponi, Giovanna Leone
Summary: Humble leadership is a positive trait that allows leaders to admit limitations, be open to new ideas, and give a voice to others. This study examines the persuasive effects of a female politician displaying humility, with a focus on the role of emotional displays when discussing a moral issue. The results show that the politician elicits positive emotions and evaluations, especially when displaying sadness, contributing to the acceptance of her persuasive message.
HUMAN AFFAIRS-POSTDISCIPLINARY HUMANITIES & SOCIAL SCIENCES QUARTERLY
(2022)
