Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Lim, Angelica"'
Autor:
Zhang, Chuxuan, Burkanova, Bermet, Kim, Lawrence H., Yip, Lauren, Cupcic, Ugo, Lallée, Stéphane, Lim, Angelica
How do people use their faces and bodies to test the interactive abilities of a robot? Making lively, believable agents is often seen as a goal for robots and virtual agents but believability can easily break down. In this Wizard-of-Oz (WoZ) study, w
Externí odkaz:
http://arxiv.org/abs/2409.11602
Autor:
Spitale, Micol, Axelsson, Minja, Jeong, Sooyeon, Tuttosı, Paige, Stamatis, Caitlin A., Laban, Guy, Lim, Angelica, Gunes, Hatice
Recent research in affective robots has recognized their potential in supporting human well-being. Due to rapidly developing affective and artificial intelligence technologies, this field of research has undergone explosive expansion and advancement
Externí odkaz:
http://arxiv.org/abs/2407.02957
Autor:
Tuttösí, Paige, Yeung, H. Henny, Wang, Yue, Wang, Fenqi, Denis, Guillaume, Aucouturier, Jean-Julien, Lim, Angelica
Acoustic context effects, where surrounding changes in pitch, rate or timbre influence the perception of a sound, are well documented in speech perception, but how they interact with language background remains unclear. Using a reverse-correlation ap
Externí odkaz:
http://arxiv.org/abs/2406.05515
Long-term human trajectory prediction is a challenging yet critical task in robotics and autonomous systems. Prior work that studied how to predict accurate short-term human trajectories with only unimodal features often failed in long-term predictio
Externí odkaz:
http://arxiv.org/abs/2405.19528
"How does the person in the bounding box feel?" Achieving human-level recognition of the apparent emotion of a person in real world situations remains an unsolved task in computer vision. Facial expressions are not enough: body pose, contextual knowl
Externí odkaz:
http://arxiv.org/abs/2405.08992
Emotions guide our decision making process and yet have been little explored in practical ethical decision making scenarios. In this challenge, we explore emotions and how they can influence ethical decision making in a home robot context: which fetc
Externí odkaz:
http://arxiv.org/abs/2405.06543
This paper proposes MotionScript, a motion-to-text conversion algorithm and natural language representation for human body motions. MotionScript provides more detailed and accurate descriptions of human body movements compared to previous natural lan
Externí odkaz:
http://arxiv.org/abs/2312.12634
The emotional theory of mind problem requires facial expressions, body pose, contextual information and implicit commonsense knowledge to reason about the person's emotion and its causes, making it currently one of the most difficult problems in affe
Externí odkaz:
http://arxiv.org/abs/2310.19995
We propose a novel methodology for robotic follow-ahead applications that address the critical challenge of obstacle and occlusion avoidance. Our approach effectively navigates the robot while ensuring avoidance of collisions and occlusions caused by
Externí odkaz:
http://arxiv.org/abs/2309.16884
Emotion estimation in images is a challenging task, typically using computer vision methods to directly estimate people's emotions using face, body pose and contextual cues. In this paper, we explore whether Large Language Models (LLMs) can support t
Externí odkaz:
http://arxiv.org/abs/2309.13136