Zobrazeno 1 - 10
of 732 212
pro vyhledávání: '"intéraction"'
Autor:
Shanmugam, Divya, Agrawal, Monica, Movva, Rajiv, Chen, Irene Y., Ghassemi, Marzyeh, Pierson, Emma
The increased capabilities of generative AI have dramatically expanded its possible use cases in medicine. We provide a comprehensive overview of generative AI use cases for clinicians, patients, clinical trial organizers, researchers, and trainees.
Externí odkaz:
http://arxiv.org/abs/2412.10337
Autor:
Thomas, Danielle R., Borchers, Conrad, Kakarla, Sanjit, Lin, Jionghao, Bhushan, Shambhavi, Guo, Boyuan, Gatz, Erin, Koedinger, Kenneth R.
The role of multiple-choice questions (MCQs) as effective learning tools has been debated in past research. While MCQs are widely used due to their ease in grading, open response questions are increasingly used for instruction, given advances in larg
Externí odkaz:
http://arxiv.org/abs/2412.10267
Publikováno v:
Science China Information Sciences, 66:182402, 2023
Transfer learning (TL) has been widely used in electroencephalogram (EEG)-based brain-computer interfaces (BCIs) for reducing calibration efforts. However, backdoor attacks could be introduced through TL. In such attacks, an attacker embeds a backdoo
Externí odkaz:
http://arxiv.org/abs/2412.09933
Autor:
Jo, Sehyeong, Seo, Jungwon
Chatbot-based customer support services have significantly advanced with the introduction of large language models (LLMs), enabling enhanced response quality and broader application across industries. However, while these advancements focus on reduci
Externí odkaz:
http://arxiv.org/abs/2412.09916
This paper introduces the human-like embodied AI interviewer which integrates android robots equipped with advanced conversational capabilities, including attentive listening, conversational repairs, and user fluency adaptation. Moreover, it can anal
Externí odkaz:
http://arxiv.org/abs/2412.09867
Publikováno v:
IEEE Trans. on Neural Systems and Rehabilitation Engineering, 31:3576-3586, 2023
A brain-computer interface (BCI) establishes a direct communication pathway between the brain and an external device. Electroencephalogram (EEG) is the most popular input signal in BCIs, due to its convenience and low cost. Most research on EEG-based
Externí odkaz:
http://arxiv.org/abs/2412.09854
Approximately 400,000 youth in the US are living in foster care due to experiences with abuse or neglect at home. For multiple reasons, these youth often don't receive adequate social support from those around them. Despite technology's potential, ve
Externí odkaz:
http://arxiv.org/abs/2412.09838
This paper explores the design, development and evaluation of a digital platform that aims to assist young people who have experienced trauma in understanding and expressing their emotions and fostering social connections. Integrating principles from
Externí odkaz:
http://arxiv.org/abs/2412.09834
With the rise of Internet of Things (IoT) technologies in smart homes and the integration of artificial intelligence (AI), ethical concerns have become increasingly significant. This paper explores the ethical implications of AI-driven detection tech
Externí odkaz:
http://arxiv.org/abs/2412.09813
The currently leading artificial neural network (ANN) models of the visual ventral stream -- which are derived from a combination of performance optimization and robustification methods -- have demonstrated a remarkable degree of behavioral alignment
Externí odkaz:
http://arxiv.org/abs/2412.09765