GLOBEM dataset: multi-year datasets for longitudinal human behavior modeling generalization

X Xu, H Zhang, Y Sefidgar, Y Ren… - Advances in neural …, 2022 - proceedings.neurips.cc
Recent research has demonstrated the capability of behavior signals captured by
smartphones and wearables for longitudinal behavior modeling. However, there is a lack of …

Working at the intersection of race, disability and accessibility

CN Harrington, A Desai, A Lewis, S Moharana… - proceedings of the 25th …, 2023 - dl.acm.org
Examinations of intersectionality and identity dimensions in accessibility research have
primarily considered disability separately from a person's race and ethnicity. Accessibility …

A framework for designing fair ubiquitous computing systems

H Zhang, L Wang, Y Sheng, X Xu, J Mankoff… - Adjunct proceedings of …, 2023 - dl.acm.org
Over the past few decades, ubiquitous sensors and systems have been an integral part of
humans' everyday life. They augment human capabilities and provide personalized …

Loneliness, online learning and student outcomes in college students living with disabilities: results from the National College Health Assessment Spring 2022

W Bevens, SE Stoeckl, SM Schueller, J Kim… - Frontiers in …, 2024 - frontiersin.org
Background People with disabilities face many health, economic and social disparities.
Loneliness is recognized as a significant issue for this group however, its impact on students …

Globem: Cross-dataset generalization of longitudinal human behavior modeling

X Xu, X Liu, H Zhang, W Wang, S Nepal… - Proceedings of the …, 2023 - dl.acm.org
There is a growing body of research revealing that longitudinal passive sensing data from
smartphones and wearable devices can capture daily behavior signals for human behavior …

From classification to clinical insights: Towards analyzing and reasoning about mobile and behavioral health data with large language models

Z Englhardt, C Ma, ME Morris, CC Chang… - Proceedings of the …, 2024 - dl.acm.org
Passively collected behavioral health data from ubiquitous sensors could provide mental
health professionals valuable insights into patient's daily lives, but such efforts are impeded …

Illuminating the Unseen: Investigating the Context-induced Harms in Behavioral Sensing

H Zhang, VD Swain, L Wang, N Gao, Y Sheng… - arxiv preprint arxiv …, 2024 - arxiv.org
Behavioral sensing technologies are rapidly evolving across a range of well-being
applications. Despite its potential, concerns about the responsible use of such technology …

ONLINE LEARNING AND INVISIBLE DISABILITY: EXPLORING GREEK EFL STUDENTS'EXPERIENCES

EV Seiradakis - European Journal of Education Studies, 2024 - oapub.org
The bulk of research on students with learning disabilities during university has focused on
face-to-face mode on campus. Less is known regarding the learning experiences of these …

Online Delivery of Discussion-Oriented Postsecondary Classes during Critical Health Scenarios, Educating Responsible Computer Scientists towards Improved …

R Cohen, A **ng, H Chen, G Sahu, NK Sreenivas - Creative Education, 2023 - scirp.org
This paper discusses how upper year postsecondary computer science students being
educated on social responsibility and AI ethics may benefit from online options for delivery of …

[CARTE][B] Computational Support for Longitudinal Well-Being

XO Xu - 2023 - search.proquest.com
As artificial-intelligent-powered devices have become more embedded in our lives, they
offer an unprecedented ability to passively sense our daily behavior at a high resolution …