Causal Perception
The paper ‘Causal Perception’ by Jose M. Alvarez and Salvatore Ruggieri, published in January 2024, explores the concept of perception in the context of automated decision-making (ADM) systems. The authors…
Continue readingHuman-Computer Interaction
The study of how humans interact with computers and how to design more usable computing interfaces.
The Dynamics of (Not) Unfollowing Misinformation Spreaders
The study explores the dynamics of unfollowing misinformation spreaders on Twitter. Over six months, 1M followers and 5K health misinformation spreaders were tracked. The study found that misinformation ties are…
Continue readingHow AI Ideas Affect the Creativity, Diversity, and Evolution of Human Ideas: Evidence From a Large, Dynamic Experiment
The article presents a study investigating the impact of AI-generated ideas on human creativity and idea diversity. Over 800 participants from more than 40 countries were exposed to ideas generated…
Continue readingGraphiMind: LLM-centric Interface for Information Graphics Design
The paper presents GraphiMind, a tool designed to simplify the process of creating information graphics, especially for non-professionals. It emphasizes the challenges that non-experts face in creating compelling information graphics…
Continue readingA Human-Centered Review of Algorithms in Homelessness Research
The paper provides a systematic literature review of 57 papers to understand the use of decision-making algorithms in homelessness research. It highlights the increasing use of data-driven models by government…
Continue readingInformation That Matters: Exploring Information Needs of People Affected by Algorithmic Decisions
The article explores the gap between the information provided by AI systems and the information needs of people affected by algorithmic decision-making. It introduces the ‘XAI Novice Question Bank’, a…
Continue readingDesign, Development, and Deployment of Context-Adaptive AI Systems for Enhanced End-User Adoption
The paper discusses the design, development, and deployment of context-adaptive AI systems to improve end-user adoption. It emphasizes the importance of user-centered approaches in understanding user experiences with AI systems…
Continue readingImpact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study
The study, conducted by researchers from MIT and other institutions, explores the benefits of using Large Language Models (LLMs) like GPT-4 to enhance patient comprehension of clinical notes. Clinical notes…
Continue readingShould ChatGPT Write Your Breakup Text? Exploring the Role of AI in Relationship Dissolution
The study conducted interviews with 21 participants to understand the role of technology in relationship breakups, the needs and support required during the process, and how AI might address these…
Continue readingDanceMeld: Unraveling Dance Phrases with Hierarchical Latent Codes for Music-to-Dance Synthesis
The article presents DanceMeld, an innovative dance generation pipeline for 3D digital human applications. It uses a hierarchical VQ-VAE to disentangle dance poses and dance movements. This allows the system…
Continue reading