Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yaoli Mao"'
Publikováno v:
Frontiers in Computer Science, Vol 6 (2024)
The Hybrid Intelligence Technology Acceptance Model (HI-TAM) presented in this paper offers a novel framework for training and adopting generative design (GD) assistants, facilitating co-creation between human experts and AI systems. Despite the prom
Externí odkaz:
https://doaj.org/article/5869e884fa514b28a0f50e0b1baf2194
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
There is increasing interest in how the pupil dynamics of the eye reflect underlying cognitive processes and brain states. Problematic, however, is that pupil changes can be due to non-cognitive factors, for example luminance changes in the environme
Externí odkaz:
https://doaj.org/article/74d80979c73740c58e5193cf631460b3
Publikováno v:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.
Autor:
Casey Dugan, Kush R. Varshney, Aleksandra Mojsilovic, Dakuo Wang, Michael Muller, Yaoli Mao, Ioana Baldini
Publikováno v:
Proceedings of the ACM on Human-Computer Interaction. 3:1-23
In recent years there has been an increasing trend in which data scientists and domain experts work together to tackle complex scientific questions. However, such collaborations often face challenges. In this paper, we aim to decipher this collaborat
Autor:
Pat Pataranutaporn, Joanne Leong, Ehsan Hoque, Janet Baker, Pattie Maes, Florian Perteneder, Yaoli Mao
Publikováno v:
CHI Extended Abstracts
Virtual representations of ourselves can influence the way we feel and behave. While this phenomenon has been explored heavily in the realms of virtual reality and gaming, little is known about the level of impact increasingly pervasive real-time cam
Publikováno v:
Frontiers in Psychology
Frontiers in Psychology, Vol 12 (2021)
Frontiers in Psychology, Vol 12 (2021)
There is increasing interest in how the pupil dynamics of the eye reflect underlying cognitive processes and brain states. Problematic, however, is that pupil changes can be due to non-cognitive factors, for example luminance changes in the environme
Publikováno v:
ETRA Adjunct
A deep learning framework for predicting pupil diameter using eye tracking data is described. Using a variety of input, such as fixation positions, durations, saccades and blink-related information, we assessed the performance of a sequence model in
Publikováno v:
AHs
Human judgments and decisions are prone to errors in reasoning caused by factors such as personal biases and external misinformation. We explore the possibility of enhanced reasoning by implementing a wearable AI system as a human symbiotic counterpa