Zobrazeno 1 - 10
of 121
pro vyhledávání: '"WILLIAMS, JOSEPH JAY"'
Autor:
Bhattacharjee, Ananya, Xu, Sarah Yi, Rao, Pranav, Zeng, Yuchen, Meyerhoff, Jonah, Ahmed, Syed Ishtiaque, Mohr, David C, Liut, Michael, Mariakakis, Alex, Kornfield, Rachel, Williams, Joseph Jay
Stories about overcoming personal struggles can effectively illustrate the application of psychological theories in real life, yet they may fail to resonate with individuals' experiences. In this work, we employ large language models (LLMs) to create
Externí odkaz:
http://arxiv.org/abs/2409.16732
Autor:
Kumar, Harsh, Xiao, Ruiwei, Lawson, Benjamin, Musabirov, Ilya, Shi, Jiakai, Wang, Xinyuan, Luo, Huayin, Williams, Joseph Jay, Rafferty, Anna, Stamper, John, Liut, Michael
Self-reflection on learning experiences constitutes a fundamental cognitive process, essential for the consolidation of knowledge and the enhancement of learning efficacy. However, traditional methods to facilitate reflection often face challenges in
Externí odkaz:
http://arxiv.org/abs/2406.07571
Autor:
Bhattacharjee, Ananya, Gong, Zichen, Wang, Bingcheng, Luckcock, Timothy James, Watson, Emma, Abellan, Elena Allica, Gutman, Leslie, Hsu, Anne, Williams, Joseph Jay
Regular practice of gratitude has the potential to enhance psychological wellbeing and foster stronger social connections among young adults. However, there is a lack of research investigating user needs and expectations regarding gratitude-promoting
Externí odkaz:
http://arxiv.org/abs/2404.17698
Autor:
Pathak, Laura Elizabeth, Aguilera, Adrian, Williams, Joseph Jay, Lyles, Courtney Rees, Hernandez-Ramos, Rosa, Miramontes, Jose, Cemballi, Anupama Gunshekar, Figueroa, Caroline Astrid
Publikováno v:
JMIR mHealth and uHealth, Vol 9, Iss 5, p e21177 (2021)
BackgroundText messaging interventions can be an effective and efficient way to improve health behavioral changes. However, most texting interventions are neither tested nor designed with diverse end users, which could reduce their impact, and there
Externí odkaz:
https://doaj.org/article/b41b17a3a63f4a30bf1a73ef056dd9bb
Autor:
Bernecker, Samantha L, Williams, Joseph Jay, Caporale-Berkowitz, Norian A, Wasil, Akash R, Constantino, Michael J
Publikováno v:
Journal of Medical Internet Research, Vol 22, Iss 9, p e17164 (2020)
BackgroundMillions of people worldwide are underserved by the mental health care system. Indeed, most mental health problems go untreated, often because of resource constraints (eg, limited provider availability and cost) or lack of interest or faith
Externí odkaz:
https://doaj.org/article/3ea17015ddc147b9aef613841345166e
Autor:
Bhattacharjee, Ananya, Zeng, Yuchen, Xu, Sarah Yi, Kulzhabayeva, Dana, Ma, Minyi, Kornfield, Rachel, Ahmed, Syed Ishtiaque, Mariakakis, Alex, Czerwinski, Mary P, Kuzminykh, Anastasia, Liut, Michael, Williams, Joseph Jay
Traditional interventions for academic procrastination often fail to capture the nuanced, individual-specific factors that underlie them. Large language models (LLMs) hold immense potential for addressing this gap by permitting open-ended inputs, inc
Externí odkaz:
http://arxiv.org/abs/2312.13581
Publikováno v:
In The 26th Western Canadian Conference on Computing Education (WCCCE '24). ACM, New York, NY, USA, 7 pages (2024)
Randomized A/B comparisons of alternative pedagogical strategies or other course improvements could provide useful empirical evidence for instructor decision-making. However, traditional experiments do not provide a straightforward pathway to rapidly
Externí odkaz:
http://arxiv.org/abs/2310.12324
Autor:
Kumar, Harsh, Li, Tong, Shi, Jiakai, Musabirov, Ilya, Kornfield, Rachel, Meyerhoff, Jonah, Bhattacharjee, Ananya, Karr, Chris, Nguyen, Theresa, Mohr, David, Rafferty, Anna, Villar, Sofia, Deliu, Nina, Williams, Joseph Jay
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence (IAAI) 2024
Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these interventions can be effective, real-world experimental testing can further enhanc
Externí odkaz:
http://arxiv.org/abs/2310.18326
Autor:
Kumar, Harsh, Musabirov, Ilya, Reza, Mohi, Shi, Jiakai, Wang, Xinyuan, Williams, Joseph Jay, Kuzminykh, Anastasia, Liut, Michael
Personalized chatbot-based teaching assistants can be crucial in addressing increasing classroom sizes, especially where direct teacher presence is limited. Large language models (LLMs) offer a promising avenue, with increasing research exploring the
Externí odkaz:
http://arxiv.org/abs/2310.13712
Autor:
Reza, Mohi, Laundry, Nathan, Musabirov, Ilya, Dushniku, Peter, Yu, Zhi Yuan "Michael", Mittal, Kashish, Grossman, Tovi, Liut, Michael, Kuzminykh, Anastasia, Williams, Joseph Jay
Exploring alternative ideas by rewriting text is integral to the writing process. State-of-the-art Large Language Models (LLMs) can simplify writing variation generation. However, current interfaces pose challenges for simultaneous consideration of m
Externí odkaz:
http://arxiv.org/abs/2310.00117