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From Prompt to Service: An SLM-Based Agent Orchestration Gateway for AI-Driven Virtual Worlds What LLMs Must Forget to Teach Effectively: A DIY Approach to Premodern Japanese Language Pedagogy Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video Vision-Language Models Suppress Female Representations Under Ambiguous Input The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace TUX: Measuring Human--AI Tacit Understanding LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback VideoFDB: Evaluating Full-Duplex Vision-Speech Capabilities in Conversational Agents Label Over Logic? How Source Cues Bias Human Fallacy Judgments More Than LLMs Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles How Coding Agents Fail Their Users: A Large-Scale Analysis of Developer-Agent Misalignment in 20,574 Real-World Sessions MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality Analyzing Persona Effects in Generated Explanations from Multimodal LLM Agents in Urban Perception First head-to-head comparison of agentic AI applied to the analysis of simulated data of the Einstein Telescope Granuscore: A Reference-Free Measure of Granularity for Text Analysis and Question Answering The Timing Dependencies of Trust: Speed, Accuracy, and cBCI Neuro-Decoupling in Human-AI Teams Bayesian Distributional Models of Executive Functioning Visual Matters: Connecting Aesthetic Appeal and Production Quality of Photos, Infographics and Data Visualizations to Credibility of Social Media Posts Data-driven Head Motion Generation through Natural Gaze-Head Coordination Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation Augmented Analytics and Decision Quality: The Role of Trust among Non-Technical BI Users Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build PaintCopilot: Modeling Painting as Autonomous Artistic Continuation Personality Engineering with AI Agents: A New Methodology for Negotiation Research PULSE: Agentic Investigation with Passive Sensing for Proactive Intervention in Cancer Survivorship Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
Underpinnings of Digital-photo interaction in Computer-me...
Aqdas Malik · 2017-02-07 · via cs.HC updates on arXiv.org

This dissertation is based on five empirical research articles investigating the different latent factors that motivate and hinder the process of digital-photo interaction in computer-mediated platforms. Study I examine the current practices surrounding digital photos in the context of personal photo repositories (N=15). Study II investigates the gratifications and impeding factors associated with photo-tagging activity on Facebook (N=67). Study III develops and tests an instrument for understanding the gratifications of Facebook photo-sharing (N=368). Study IV examines the impact of various aspects of privacy in relation to photo-sharing intentions on Facebook (N=378). Finally, study V investigates the age and gender differences regarding various aspects of privacy and trust in the context of photo-sharing activity on Facebook (N=378). The dissertation reveals the following findings: First, lack of "social features" is one of the essential reasons for non-acceptance of tagging feature in standalone photo management applications. Second, photo-sharing and photo-tagging adoption and popularity can be attributed to various factors such as affection, attention, communication, disclosure, habit, information sharing, self-expression, socialization, and social influence. Third, age, gender, and activity influence photo-sharing and photo-tagging gratifications. Fourth, in the context of Facebook photo-sharing, various aspects of privacy significantly impact users trust and activity and consequently photo-sharing intentions. Fifth, women and young Facebook users are significantly more concerned about the privacy of their shared photos. Sixth, privacy-protective measures are significantly exercised more by young Facebook users, yet they exhibit more trust and a higher level of activity on Facebook.