Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Spitale, Micol"'
Social agents and robots are increasingly being used in wellbeing settings. However, a key challenge is that these agents and robots typically rely on machine learning (ML) algorithms to detect and analyse an individual's mental wellbeing. The proble
Externí odkaz:
http://arxiv.org/abs/2408.04026
Autor:
Spitale, Micol, Parreira, Maria Teresa, Stiber, Maia, Axelsson, Minja, Kara, Neval, Kankariya, Garima, Huang, Chien-Ming, Jung, Malte, Ju, Wendy, Gunes, Hatice
Despite the recent advancements in robotics and machine learning (ML), the deployment of autonomous robots in our everyday lives is still an open challenge. This is due to multiple reasons among which are their frequent mistakes, such as interrupting
Externí odkaz:
http://arxiv.org/abs/2407.06094
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
Recent studies show bias in many machine learning models for depression detection, but bias in LLMs for this task remains unexplored. This work presents the first attempt to investigate the degree of gender bias present in existing LLMs (ChatGPT, LLa
Externí odkaz:
http://arxiv.org/abs/2406.08183
In recent years, the affective computing (AC) and human-robot interaction (HRI) research communities have put fairness at the centre of their research agenda. However, none of the existing work has addressed the problem of machine learning (ML) bias
Externí odkaz:
http://arxiv.org/abs/2407.01562
Robotic coaches have been recently investigated to promote mental well-being in various contexts such as workplaces and homes. With the widespread use of Large Language Models (LLMs), HRI researchers are called to consider language appropriateness wh
Externí odkaz:
http://arxiv.org/abs/2401.14935
Autor:
Song, Siyang, Spitale, Micol, Luo, Cheng, Palmero, Cristina, Barquero, German, Zhu, Hengde, Escalera, Sergio, Valstar, Michel, Baur, Tobias, Ringeval, Fabien, Andre, Elisabeth, Gunes, Hatice
In dyadic interactions, humans communicate their intentions and state of mind using verbal and non-verbal cues, where multiple different facial reactions might be appropriate in response to a specific speaker behaviour. Then, how to develop a machine
Externí odkaz:
http://arxiv.org/abs/2401.05166
Robotic well-being coaches have been shown to successfully promote people's mental well-being. To provide successful coaching, a robotic coach should have the capability to repair the mistakes it makes. Past investigations of robot mistakes are limit
Externí odkaz:
http://arxiv.org/abs/2401.03794
Recently, several works have explored if and how robotic coaches can promote and maintain mental well-being in different settings. However, findings from these studies revealed that these robotic coaches are not ready to be used and deployed in real-
Externí odkaz:
http://arxiv.org/abs/2312.09740
Autor:
Spitale, Micol, Stower, Rebecca, Yadollahi, Elmira, Parreira, Maria Teresa, Abbasi, Nida Itrat, Leite, Iolanda, Gunes, Hatice
Research reproducibility - i.e., rerunning analyses on original data to replicate the results - is paramount for guaranteeing scientific validity. However, reproducibility is often very challenging, especially in research fields where multi-disciplin
Externí odkaz:
http://arxiv.org/abs/2309.01822