Loud, Proud and Prosperous! Report on the Mobility International USA International Symposium on Microcredit for Women with Disabilities

[Excerpt] MIUSA designed the International Symposium on Microcredit for Women with Disabilities in response to recommendations from women leaders with disabilities at WILD, at the Symposium in Beijing, and from our own experience with US-based international development programs. It seemed apparent that economic empowerment of women with disabilities was not high on any agenda – international aid agencies, development organizations, women’s programs, or even disability rights movements. Women with disabilities expressed that they – women with disabilities – would need to take leadership in this area, and that they needed particular knowledge and skills to be effective as leaders in this area

IMPACT AND DIFFUSION OF SENTIMENT IN PUBLIC COMMUNICATION ON FACEBOOK

In recent years, political parties and politicians have begun to use public Facebook pages not only for the purpose of self-presentation but also to aim at entering into direct dialogues with citizens and enabling political discussions. Not only the owner of the page but also any people who are politically interested can create politically relevant postings on the Wall of the page. These Wall posts often exhibit sentiment associated with certain political topics, political parties or politicians. In this paper, we seek to examine whether sentiment occurring in Wall posts on public political Facebook pages has an effect on feedback in terms of the quantity of triggered comments. Based on a data set of 5,626 Wall posts from Facebook pages of German political parties and politicians, we find different significant relationships between the quantity of words indicating positive and negative emotions in a Wall post and the number of its corresponding comments. Furthermore, our results show that positive as well as negative emotions might diffuse in the subsequent comments

COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt

The demand for conversational agents that provide mental health care is consistently increasing. In this work, we develop a psychological counseling agent, referred to as CoCoA, that applies Cognitive Behavioral Therapy (CBT) techniques to identify and address cognitive distortions inherent in the client's statements. Specifically, we construct a memory system to efficiently manage information necessary for counseling while extracting high-level insights about the client from their utterances. Additionally, to ensure that the counseling agent generates appropriate responses, we introduce dynamic prompting to flexibly apply CBT techniques and facilitate the appropriate retrieval of information. We conducted dialogues between CoCoA and characters from Character.ai, creating a dataset for evaluation. Then, we asked GPT to evaluate the constructed counseling dataset, and our model demonstrated a statistically significant difference from other models.Comment: 4 pages, 2 figure

Engaging in Awkward Social Interactions in a Virtual Environment Designed for Exposure-Based Psychotherapy for People with Generalized Social Anxiety Disorder: An International Multisite Study

The effectiveness of in virtuo exposure-based treatment of performance-only social anxiety disorder (SAD) has been demonstrated in several studies. However, few studies have validated virtual environments with participants suffering from generalized SAD. The goal of this study is to confirm the potential of a virtual environment in inducing anxiety in adults suffering from generalized SAD, compared to adults without SAD, when engaged in awkward social interactions. Differences between participants from two different countries were also explored. The sample consisted of 15 participants with SAD from Canada, 17 participants without SAD from Canada, 16 participants with SAD from Spain, and 21 participants without SAD from Spain. All participants were immersed in a control virtual environment and in an experimental virtual environment considered potentially anxiety-inducing for individuals with generalized SAD. As hypothesized, results showed that the experimental virtual environment induced a higher level of anxiety than the control environment among participants with SAD compared to those without SAD. The impact on anxiety of each socially threatening task performed during the experimental immersion was statistically significant. In terms of anxiety responses, no significant differences were found between participants from Canada and Spain. However, spatial presence and ecological validity were higher in Canadians than in Spaniards. Unwanted negative side effects induced by immersions in virtual reality were higher in the SAD group. This study highlights the importance for therapists to engage people with SAD in clinically relevant tasks while immersed in VR psychotherapeutic applications

Harmonizing Code-mixed Conversations: Personality-assisted Code-mixed Response Generation in Dialogues

Code-mixing, the blending of multiple languages within a single conversation, introduces a distinctive challenge, particularly in the context of response generation. Capturing the intricacies of code-mixing proves to be a formidable task, given the wide-ranging variations influenced by individual speaking styles and cultural backgrounds. In this study, we explore response generation within code-mixed conversations. We introduce a novel approach centered on harnessing the Big Five personality traits acquired in an unsupervised manner from the conversations to bolster the performance of response generation. These inferred personality attributes are seamlessly woven into the fabric of the dialogue context, using a novel fusion mechanism, PA3. It uses an effective two-step attention formulation to fuse the dialogue and personality information. This fusion not only enhances the contextual relevance of generated responses but also elevates the overall performance of the model. Our experimental results, grounded in a dataset comprising of multi-party Hindi-English code-mix conversations, highlight the substantial advantages offered by personality-infused models over their conventional counterparts. This is evident in the increase observed in ROUGE and BLUE scores for the response generation task when the identified personality is seamlessly integrated into the dialogue context. Qualitative assessment for personality identification and response generation aligns well with our quantitative results.Comment: 14 pages, 8 figures, 7 tables. Accepted at EACL (findings) 202