Modeling Empathy and Distress in Reaction to News Stories

Computational detection and understanding of empathy is an important factor in advancing human-computer interaction. Yet to date, text-based empathy prediction has the following major limitations: It underestimates the psychological complexity of the phenomenon, adheres to a weak notion of ground truth where empathic states are ascribed by third parties, and lacks a shared corpus. In contrast, this contribution presents the first publicly available gold standard for empathy prediction. It is constructed using a novel annotation methodology which reliably captures empathy assessments by the writer of a statement using multi-item scales. This is also the first computational work distinguishing between multiple forms of empathy, empathic concern, and personal distress, as recognized throughout psychology. Finally, we present experimental results for three different predictive models, of which a CNN performs the best.Comment: To appear at EMNLP 201

Neural endophenotypes of social behaviour in autism spectrum conditions

Autism is characterized by qualitative impairments in social interaction, communication, and stereotyped repetitive behaviors and/or restricted interests. Beyond these diagnostic criteria, autism is viewed as a neurodevelopmental condition with possibly several etiologies that manifest in complex patterns of atypical structural and functional brain development, cognition, and behavior. Despite the multidimensional nature of and substantial variation within the autism spectrum, impairments in social interaction remain among the most visible hallmarks of the condition. It is this profound developmental deficit in the social domain that makes autism a unique case in the field of social neuroscience. This chapter contributes to the dialogue amongst both the fields of autism research and social neuroscience by deliberately taking the stance of asking how we can understand more about the etiological mechanisms underlying social behavior in autism. It presents a multi-level overview of the literature on the behavioral, neural, and genetic underpinnings of social functioning in autism spectrum conditions (ASC). The main objective is to highlight the current state of the field regarding theory of mind/empathy difficulties in ASC, and then to suggest distinct candidate neural endophenotypes that can bridge the gap between social behavior and genetic mechanisms

An Investigation of the Divergences and Convergences of Trait Empathy across Two Cultures

The extent to which individuals with a variety of cultural backgrounds differ in empathic responsiveness is unknown. This paper describes the differences in trait empathy in one independent and one interdependent society (i.e., United States and Iran respectively). The analysis of data collected from self-reported questionnaires answered by 326 adults indicated a significant difference in the cognitive component of empathy concerning participants’ affiliation to either egocentric or socio-centric society: Iranian participants with interdependent cultural norms, reported higher cognitive empathy compared to American participants who share independent cultural norms. In line with previous studies, gender differences were observed in all subscales of questionnaires except the Empathy Quotient. Female participants demonstrated more empathy than males in both samples. Implications for understanding the cross-cultural differences of various components of empathy are discussed

Cultivating Empathy: New Perspectives on Educating Business Leaders

Beyond rules, procedures, and manuals lie relationships. Jettisoning a formal hierarchical company structure allows all levels of management and employees to positively interact – this is where the key driver of “empathy” is so critical to continue building these relationships and molding a common organizational purpose

The effects of trait emotional intelligence and sociobiographical variables on communicative anxiety and foreign language anxiety among adult multilinguals: A review and empirical investigation

This study considered the effects of trait emotional intelligence (trait EI; Petrides & Furnham, 2001) and sociobiographical variables (age, gender, education level, number of languages known, age of onset of acquisition, context of acquisition, frequency of use, socialization, network of interlocutors, self-perceived proficiency) on communicative anxiety (CA) in the first, and foreign language anxiety (FLA) in the second, third, and fourth languages of 464 multilingual individuals, in five different situations (speaking with friends, colleagues, strangers, on the phone, and in public). Data were collected via web-based questionnaires. Participants were divided into three groups based on their trait EI scores (low, average, high). Non-parametric statistical analyses revealed a consistent pattern of results across languages and situations. Higher levels of trait EI corresponded to significantly lower CA/FLA scores. Participants who started learning the L2 and L3 at a younger age also suffered less from FLA. Purely classroom-based language instruction was found to be linked to higher levels of FLA compared to instruction that also involved extracurricular use of the language. The knowledge of more languages, a higher frequency of use, a stronger socialization in a language, a larger network of interlocutors and a higher level of self-perceived proficiency in a language were also linked to lower levels of CA/FLA