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Articles 26221 - 26250 of 1815244
Full-Text Articles in Entire DC Network
Mgrre_Thinsections_Mgrre-141_93, Mgrre
Mgrre_Thinsections_Mgrre-142_26, Mgrre
Mgrre_Thinsections_Mgrre-142_50, Mgrre
Mgrre_Thinsections_Mgrre-142_62, Mgrre
Mgrre_Thinsections_Mgrre-144_14, Mgrre
Mgrre_Thinsections_Mgrre-145_21, Mgrre
Mgrre_Thinsections_Mgrre-145_22, Mgrre
Mgrre_Thinsections_Mgrre-146_12, Mgrre
Mgrre_Thinsections_Mgrre-146_17, Mgrre
Mgrre_Thinsections_Mgrre-146_19, Mgrre
Mgrre_Thinsections_Mgrre-146_23, Mgrre
Mgrre_Thinsections_Mgrre-142_93, Mgrre
Mgrre_Thinsections_Mgrre-143_3, Mgrre
Mgrre_Thinsections_Mgrre-143_13, Mgrre
Negotiating Digital Identities With Ai Companions: Motivations, Strategies, And Emotional Outcomes, Renkai Ma, Shuo Niu, Lingyao Li, Alexander Hirth, Ava Brehm, Rowajana Behterin Barbie
Negotiating Digital Identities With Ai Companions: Motivations, Strategies, And Emotional Outcomes, Renkai Ma, Shuo Niu, Lingyao Li, Alexander Hirth, Ava Brehm, Rowajana Behterin Barbie
Computer Science
AI companions enable deep emotional relationships by engaging a user's sense of identity, but they also pose risks like unhealthy emotional dependence. Mitigating these risks requires first understanding the underlying process of identity construction and negotiation with AI companions. Focusing on Character.AI (C.AI), a popular AI companion, we conducted an LLM-assisted thematic analysis of 22,374 online discussions on its subreddit. Using Identity Negotiation Theory as an analytical lens, we identified a three-stage process: 1) five user motivations; 2) an identity negotiation process involving three communication expectations and four identity co-construction strategies; and 3) three emotional outcomes. Our findings surface the …
Creating Disability Story Videos With Generative Ai: Motivation, Expression, And Sharing, Shuo Niu, Dylan Clements, Hyungsin Kim
Creating Disability Story Videos With Generative Ai: Motivation, Expression, And Sharing, Shuo Niu, Dylan Clements, Hyungsin Kim
Computer Science
Generative AI (GenAI) is both promising and challenging in supporting people with disabilities (PwDs) in creating stories about disability. GenAI can reduce barriers to media production and inspire the creativity of PwDs, but it may also introduce biases and imperfections that hinder its adoption for personal expression. In this research, we examine how nine PwD from a disability advocacy group used GenAI to create videos sharing their disability experiences. Grounded in digital storytelling theory, we explore the motivations, expression, and sharing of PwD-created GenAI story videos. We conclude with a framework of momentous depiction, which highlights four core affordances of …
When Generative Ai Is Intimate, Sexy, And Violent: Examining Not-Safe-For-Work (Nsfw) Chatbots On Flowgpt, Xian Li, Yuanning Han, Di Liu, Pengcheng An, Shuo Niu
When Generative Ai Is Intimate, Sexy, And Violent: Examining Not-Safe-For-Work (Nsfw) Chatbots On Flowgpt, Xian Li, Yuanning Han, Di Liu, Pengcheng An, Shuo Niu
Computer Science
Content Warning: This paper contains sexually explicit and violent images and text. User-created chatbots powered by generative AI offer new ways to share and interact with Not-Safe-For-Work (NSFW) content. However, little is known about the characteristics of these GenAI-based chatbots and their user interactions. Drawing on the functional theory of NSFW on social media, this study analyzes 376 NSFW chatbots and 307 public conversation sessions on FlowGPT. Findings identify four chatbot types: roleplay characters, story generators, image generators, and do-anything-now bots. AI Characters portraying fantasy personas and enabling hangout-style interactions are most common, often using explicit avatar images to invite …
Mgrre_Thinsections_Mgrre-141_70, Mgrre
Mgrre_Thinsections_Mgrre-142_55, Mgrre
Mgrre_Thinsections_Mgrre-143_14, Mgrre
Mgrre_Thinsections_Mgrre-146_9, Mgrre
Mgrre_Thinsections_Mgrre-145_12, Mgrre
Mgrre_Thinsections_Mgrre-142_76, Mgrre
Mgrre_Thinsections_Mgrre-142_85, Mgrre
Mgrre_Thinsections_Mgrre-143_2, Mgrre
Mgrre_Thinsections_Mgrre-145_1, Mgrre
Mgrre_Thinsections_Mgrre-146_3, Mgrre
Urban And Suburban Teachers’ Perceptions Of Burnout In The Post-Covid19 Era: A Mixed Methods Dissertation In Education, Dylan Rossin
Urban And Suburban Teachers’ Perceptions Of Burnout In The Post-Covid19 Era: A Mixed Methods Dissertation In Education, Dylan Rossin
Graduate Theses & Dissertations
The Covid-19 pandemic fundamentally altered the professional demands placed on K–12 teachers, intensifying concerns related to occupational burnout. This mixed-methods study examined urban and suburban public school teachers’ perceptions of burnout in the post–Covid-19 era, with particular attention to emotional exhaustion, depersonalization, and personal accomplishment. Grounded in Maslach’s theory of burnout, the study sought to determine whether differences existed between urban and suburban teachers’ burnout experiences and to explore educators’ perspectives on factors contributing to burnout following the pandemic.
Participants included full-time public K–12 teachers in Pennsylvania with a minimum of three years of teaching experience. Quantitative data were collected …
Familybloom: Examining Ecologies Of Collaboration In Family-Centered Health Tracking, Lucas M. Silva, Aehong Min, Evropi Stefanidi, Franceli L. Cibrian, Jesus A. Beltran, Cassie Zeiler, Sabrina E. B. Schuck, Kimberley D. Lakes, Gillian R. Hayes, Daniel A. Epstein
Familybloom: Examining Ecologies Of Collaboration In Family-Centered Health Tracking, Lucas M. Silva, Aehong Min, Evropi Stefanidi, Franceli L. Cibrian, Jesus A. Beltran, Cassie Zeiler, Sabrina E. B. Schuck, Kimberley D. Lakes, Gillian R. Hayes, Daniel A. Epstein
Engineering Faculty Articles and Research
Family health informatics tools can help support well-being with shared data tracking. Prior work typically focused on shared data review, but often in specific moments, like bedtime, or centered on caregiving of children or elderly members. To investigate how tracking can support mutual health collaboration between family members pervasively across daily contexts, we designed and deployed FamilyBloom, a glanceable smartwatch and home display system for mood and goal tracking. Twelve families with both neurotypical and ADHD members used FamilyBloom for three months on average. Our findings reveal how family-centered tracking created collaboration opportunities and tensions across multiple ecological systems: individual …
Karlester Young V. Kip Hallman
Karlester Young V. Kip Hallman
2026 Decisions
USDC for the Eastern District of Pennsylvania