TY - JOUR
T1 - Past, Present, and Future
T2 - A Survey of The Evolution of Affective Robotics For Well-being
AU - Spitale, Micol
AU - Axelsson, Minja
AU - Jeong, Sooyeon
AU - Tuttosi, Paige
AU - Stamatis, Caitlin A.
AU - Laban, Guy
AU - Lim, Angelica
AU - Gunes, Hatice
N1 - Publisher Copyright:
© 2010-2012 IEEE.
PY - 2025/1/1
Y1 - 2025/1/1
N2 - 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 in recent years. In order to develop a deeper understanding of recent advancements, we present a systematic review of the past 10 years of research in affective robotics for wellbeing. In this review, we identify the domains of well-being that have been studied, the methods used to investigate affective robots for well-being, and how these have evolved over time. We also examine the evolution of the multifaceted research topic from three lenses: technical, design, and ethical. Finally, we discuss future opportunities for research based on the gaps we have identified in our review – proposing pathways to take affective robotics from the past and present to the future. The results of our review are of interest to human-robot interaction and affective computing researchers, as well as clinicians and well-being professionals who may wish to examine and incorporate affective robotics in their practices.
AB - 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 in recent years. In order to develop a deeper understanding of recent advancements, we present a systematic review of the past 10 years of research in affective robotics for wellbeing. In this review, we identify the domains of well-being that have been studied, the methods used to investigate affective robots for well-being, and how these have evolved over time. We also examine the evolution of the multifaceted research topic from three lenses: technical, design, and ethical. Finally, we discuss future opportunities for research based on the gaps we have identified in our review – proposing pathways to take affective robotics from the past and present to the future. The results of our review are of interest to human-robot interaction and affective computing researchers, as well as clinicians and well-being professionals who may wish to examine and incorporate affective robotics in their practices.
KW - affective computing
KW - affective robotics
KW - human-robot interaction
KW - survey
KW - well-being
UR - https://www.scopus.com/pages/publications/105004805226
U2 - 10.1109/TAFFC.2025.3567740
DO - 10.1109/TAFFC.2025.3567740
M3 - Article
AN - SCOPUS:105004805226
SN - 1949-3045
JO - IEEE Transactions on Affective Computing
JF - IEEE Transactions on Affective Computing
ER -