-
Mashup Score: 0Embedding Democratic Values into Social Media AIs via Societal Objective Functions | Proceedings of the ACM on Human-Computer Interaction - 20 day(s) ago
Mounting evidence indicates that the artificial intelligence (AI) systems that rank our social media feeds bear nontrivial responsibility for amplifying partisan animosity: negative thoughts, feelings, and behaviors toward political out-groups. Can we …
Source: dl.acm.orgCategories: General Medicine News, Hem/OncsTweet
-
Mashup Score: 8
Depression, a prevalent and complex mental health issue affecting millions worldwide, presents significant challenges for detection and monitoring. While facial expressions have shown promise in laboratory settings for identifying depression, their …
Source: dl.acm.orgCategories: General Medicine News, NeurologyTweet
-
Mashup Score: 1Affective Uplift During Video Game Play: A Naturalistic Case Study | Games: Research and Practice - 4 month(s) ago
Do video games affect players’ well-being? In this case study, we examined 162,325 intensive longitudinal in-game mood reports from 67,328 play sessions of 8,695 players of the popular game PowerWash Simulator. We compared players’ moods at the beginning …
Source: dl.acm.orgCategories: General Medicine News, NeurologyTweet
-
Mashup Score: 4
This paper presents reports on a series of experiments with a novel dataset evaluating how well Large Language Models (LLMs) can mark (i.e. grade) open text responses to short answer questions, Specifically, we explore how well different combinations of GPT version and prompt engineering strategies performed at marking real student answers to short answer across different domain areas (Science and History) and grade-levels (spanning ages 5-16) using a new, never-used-before dataset from Carousel, a
Source: dl.acm.orgCategories: General Medicine News, Future of MedicineTweet
-
Mashup Score: 3
University of Chicago, United States University of Chicago, United States University of Chicago, United States University of Chicago, United States University of Chicago, United States University of Chicago, United States Department of Computer Science, University of Chicago, United States Department of Computer Science, University of Chicago, United States University of Chicago, United States University of Chicago, United States Moderating user-generated content on online platforms is crucial for
Source: dl.acm.orgCategories: General Medicine News, Hem/OncsTweet
-
Mashup Score: 0The Effects of Perceived AI Use On Content Perceptions | Proceedings of the CHI Conference on Human Factors in Computing Systems - 9 month(s) ago
There is a potential future where the content created by a human and an AI are indistinguishable. In this future, if you can’t tell the difference, does it matter? We conducted a 3 (Assigned creator: human, human with AI assistance, AI) by 4 (Context: news, travel, health, and jokes) mixed-design experiment where participants evaluated human-written content that was presented as created by a human, a human with AI assistance, or an AI. We found that participants felt more negatively about the content
Source: dl.acm.orgCategories: General Medicine News, Hem/OncsTweet
-
Mashup Score: 0Large Scale Analysis of Multitasking Behavior During Remote Meetings | Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems - 10 month(s) ago
Sta nford University, United States Microsoft Research, United States Microsoft Research, United States UCL Interaction Centre, United Kingdom Virtual meetings are critical for remote work because of the need for synchronous collaboration in the absence of in-person interactions. In-meeting multitasking is closely linked to people’s productivity and wellbeing. However, we currently have limited understanding of multitasking in remote meetings and its potential impact. In this paper, we present what we
Source: dl.acm.orgCategories: General Medicine News, Hem/OncsTweet
-
Mashup Score: 1CytoSet | Proceedings of the 12th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics - 11 month(s) ago
Single-cell flow and mass cytometry technologies are being increasingly applied in clinical settings, as they enable the simultaneous measurement of multiple proteins across millions of cells within a multi-patient cohort. In this work, we introduce CytoSet, a deep learning model that can directly predict a patient’s clinical outcome from a collection of cells obtained through a blood or tissue sample. Unlike previous work, CytoSet explicitly models the cells profiled in each patient sample as a set,
Source: dl.acm.orgCategories: General Medicine News, Hem/OncsTweet
-
Mashup Score: 0
Human-AI interaction in text production increases complexity in authorship. In two empirical studies (n1 = 30 & n2 = 96), we investigate authorship and ownership in human-AI collaboration for personalized language generation. We show an AI Ghostwriter …
Source: dl.acm.orgCategories: General Medicine News, Hem/OncsTweet
-
Mashup Score: 5
Duke University, Durham, Unite d States of America Duke University, Durham, United States of America Duke University, Durham, United States of America Duke University, Durham, United States of America Duke University, Durham, United States of America Oak Ridge National Laboratory, Oak Ridge, United States of America Lawrence Livermore National Laboratory, Livermore, United States of America Duke University, Durham, United States of America Simulations of cancer cell transport require accurately modeling
Source: dl.acm.orgCategories: General Medicine News, General HCPsTweet
Embedding Democratic Values into Social Media AIs via Societal Objective Functions https://t.co/qNFhNoFxpu via @JiaChenyan et al https://t.co/XwgcA8yXli