Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Eichstaedt, Johannes C"'
Autor:
Ganesan, Adithya V, Varadarajan, Vasudha, Lal, Yash Kumar, Eijsbroek, Veerle C., Kjell, Katarina, Kjell, Oscar N. E., Dhanasekaran, Tanuja, Stade, Elizabeth C., Eichstaedt, Johannes C., Boyd, Ryan L., Schwartz, H. Andrew, Flek, Lucie
Use of large language models such as ChatGPT (GPT-4) for mental health support has grown rapidly, emerging as a promising route to assess and help people with mood disorders, like depression. However, we have a limited understanding of GPT-4's schema
Externí odkaz:
http://arxiv.org/abs/2411.13800
Autor:
Salecha, Aadesh, Ireland, Molly E., Subrahmanya, Shashanka, Sedoc, João, Ungar, Lyle H., Eichstaedt, Johannes C.
As Large Language Models (LLMs) become widely used to model and simulate human behavior, understanding their biases becomes critical. We developed an experimental framework using Big Five personality surveys and uncovered a previously undetected soci
Externí odkaz:
http://arxiv.org/abs/2405.06058
Autor:
Mangalik, Siddharth, Eichstaedt, Johannes C., Giorgi, Salvatore, Mun, Jihu, Ahmed, Farhan, Gill, Gilvir, Ganesan, Adithya V., Subrahmanya, Shashanka, Soni, Nikita, Clouston, Sean A. P., Schwartz, H. Andrew
Compared to physical health, population mental health measurement in the U.S. is very coarse-grained. Currently, in the largest population surveys, such as those carried out by the Centers for Disease Control or Gallup, mental health is only broadly
Externí odkaz:
http://arxiv.org/abs/2302.12952
Autor:
Son, Youngseo, Clouston, Sean A. P., Kotov, Roman, Eichstaedt, Johannes C., Bromet, Evelyn J., Luft, Benjamin J., Schwartz, H Andrew
Background: Oral histories from 9/11 responders to the World Trade Center (WTC) attacks provide rich narratives about distress and resilience. Artificial Intelligence (AI) models promise to detect psychopathology in natural language, but they have be
Externí odkaz:
http://arxiv.org/abs/2011.06457
Autor:
Santosh, Roshan, Schwartz, H. Andrew, Eichstaedt, Johannes C., Ungar, Lyle H., Guntuku, Sharath C.
In this paper, we present an iterative graph-based approach for the detection of symptoms of COVID-19, the pathology of which seems to be evolving. More generally, the method can be applied to finding context-specific words and texts (e.g. symptom me
Externí odkaz:
http://arxiv.org/abs/2011.03983
Previous work has found strong links between the choice of social media images and users' emotions, demographics and personality traits. In this study, we examine which attributes of profile and posted images are associated with depression and anxiet
Externí odkaz:
http://arxiv.org/abs/1904.02670
Autor:
Nilsson, August Håkan1,2 (AUTHOR) august.nilsson1907@gmail.com, Eichstaedt, Johannes C.3 (AUTHOR), Lomas, Tim4 (AUTHOR), Schwartz, Andrew5 (AUTHOR), Kjell, Oscar1 (AUTHOR)
Publikováno v:
Scientific Reports. 2/1/2024, Vol. 14 Issue 1, p1-12. 12p.
Autor:
Levanti, Danielle, Monastero, Rebecca N., Zamani, Mohammadzaman, Eichstaedt, Johannes C., Giorgi, Salvatore, Schwartz, H. Andrew, Meliker, Jaymie R.
Publikováno v:
In AJPM Focus March 2023 2(1)
Publikováno v:
In Health and Place March 2023 80
Autor:
Giorgi, Salvatore, Eichstaedt, Johannes C., Preoţiuc-Pietro, Daniel, Gardner, Jacob R., Schwartz, H. Andrew, Ungar, Lyle H.
Publikováno v:
In Current Research in Ecological and Social Psychology 2023 5