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Found 18 papers, 3 papers with code
Evaluating Fairness in Self-supervised and Supervised Models for Sequential Data
Self-supervised learning (SSL) has become the de facto training paradigm of large models where pre-training is followed by supervised fine-tuning using domain-specific data and labels.
Dream Content Discovery from Reddit with an Unsupervised Mixed-Method Approach
Going beyond traditional scales, our method can find unique patterns in different dream types (like nightmares or recurring dreams), understand topic importance and connections, and observe changes in collective dream experiences over time and around major events, like the COVID-19 pandemic and the recent Russo-Ukrainian war.
Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing
The field of mobile and wearable computing is undergoing a revolutionary integration of machine learning.
Human-Centered Responsible Artificial Intelligence: Current & Future Trends
In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence.
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI
In this paper, we present a bottom-up mapping of the current state of research at the intersection of Human-Centered AI, Ethical, and Responsible AI (HCER-AI) by thematically reviewing and analyzing 164 research papers from leading conferences in ethical, social, and human factors of AI: AIES, CHI, CSCW, and FAccT.
Epidemic Dreams: Dreaming about health during the COVID-19 pandemic
Given the unprecedented nature of the experiences during COVID-19, we studied the continuity hypothesis in the context of the pandemic.
Anticipatory Detection of Compulsive Body-focused Repetitive Behaviors with Wearables
Body-focused repetitive behaviors (BFRBs), like face-touching or skin-picking, are hand-driven behaviors which can damage one's appearance, if not identified early and treated.
The Healthy States of America: Creating a Health Taxonomy with Social Media
We validated the structure of our taxonomy against the official International Statistical Classification of Diseases and Related Health Problems (ICD-11), finding matches of our clusters with 20 official categories, out of 22.
Jane Jacobs in the Sky: Predicting Urban Vitality with Open Satellite Data
Back in the 1970s, Jane Jacobs theorized urban vitality and found that there are four conditions required for the promotion of life in cities: diversity of land use, small block sizes, the mix of economic activities, and concentration of people.
Nowcasting Gentrification Using Airbnb Data
This work shows that Airbnb data can be used to quantify and track neighborhood changes.
Social Interactions or Business Transactions? What customer reviews disclose about Airbnb marketplace
Airbnb is one of the most successful examples of sharing economy marketplaces.
The Language of Dialogue Is Complex
Integrative Complexity (IC) is a psychometric that measures the ability of a person to recognize multiple perspectives and connect them, thus identifying paths for conflict resolution.
The Death and Life of Great Italian Cities: A Mobile Phone Data Perspective
This is mainly because it is hard to collect data about "city life".
Computers and Society Social and Information Networks Physics and Society
Like Partying? Your Face Says It All. Predicting the Ambiance of Places with Profile Pictures
To choose restaurants and coffee shops, people are increasingly relying on social-networking sites.
Smelly Maps: The Digital Life of Urban Smellscapes
We match those tags and tweets with the words in the smell dictionary.
Social and Information Networks Computers and Society
Recommending Investors for Crowdfunding Projects
Nowadays, they have an additional option: that of crowdfunding.
The architecture of innovation: Tracking face-to-face interactions with ubicomp technologies
The layouts of the buildings we live in shape our everyday lives.
Computers and Society Human-Computer Interaction Social and Information Networks
Data Portraits: Connecting People of Opposing Views
However, users tend to connect with like-minded people and read agreeable information, a behavior that leads to group polarization.
Human-Computer Interaction Social and Information Networks H.5.2
