Article
Psychology, Biological
Herbert H. Clark, Kerstin Fischer
Summary: C&F argue that trait attribution is limited in explaining human-robot interactions, while we argue that it can explain the three issues posed by C&F. We also argue that the trait attribution approach is parsimonious, as it assumes that the same mechanisms of social cognition apply to human-robot interaction.
BEHAVIORAL AND BRAIN SCIENCES
(2023)
Article
Psychology, Multidisciplinary
Yuguang Xie, Keyu Zhu, Peiyu Zhou, Changyong Liang
Summary: This study categorizes the anthropomorphic cues of smart home assistants into four dimensions and constructs a dual-path influence mechanism model to explore the impact of anthropomorphism on interaction satisfaction. The results show that emotional cues and auditory cues can directly improve interaction satisfaction and further enhance it by influencing intimacy, while visual cues mainly affect satisfaction through the mediating effect of intimacy. In terms of privacy invasion, emotional cues and auditory cues also affect interaction satisfaction by influencing privacy invasion, but the impact of visual cues and identity cues is not valid. This study is expected to provide practical guidance for product designers to ensure the long-term feasibility and sustainability of products.
COMPUTERS IN HUMAN BEHAVIOR
(2023)
Article
Computer Science, Cybernetics
Tobias Kopp, Marco Baumgartner, Steffen Kinkel
Summary: An appropriate level of human-robot trust is crucial for successful human-robot interaction. Previous research has focused on anthropomorphic design but overlooked the role of linguistic framing in influencing trust. The time-dependent patterns of trust and distrust during human-robot interaction have also been underexplored. This study failed to replicate significant framing effects on trust, indicating the influence of context and individual characteristics. The findings highlight the need for further investigation into linguistic framing effects and the evolution of trust and distrust in order to develop a comprehensive theoretical framework applicable to the HRI context.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
(2023)
Article
Robotics
Benedikt Leichtmann, Verena Nitsch
Summary: The study aimed to investigate the impact of social desirability bias in human-robot evaluation, expecting higher ratings for likability and interaction quality when evaluating the same robot based on the CASA assumption. However, the data did not support the hypotheses, highlighting potential issues with sample size, statistical power, and measurement validation.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2021)
Article
Psychology, Multidisciplinary
Eileen Roesler, Meret Vollmann, Dietrich Manzey, Linda Onnasch
Summary: In two experiments focused on trust dynamics in human-robot interaction, the interplay between attribute-based characteristics (such as anthropomorphism and type of failure) of robots and trust attitude, perceived reliability, and trust behavior was explored. Findings showed that participants trusted technical robots more than anthropomorphic ones, and failures in information acquisition/processing led to more trust dissolution than failures in action implementation. However, there was no evidence of behavioral adaptation following failure experiences.
COMPUTERS IN HUMAN BEHAVIOR
(2024)
Article
Robotics
Nicolas Spatola, Barbara Kuhnlenz, Gordon Cheng
Summary: The article consolidates lessons learned from three different studies and proposes a more developed questionnaire based on a multicomponent approach of anthropomorphism, incorporating traits from psychosocial theory and the de-humanization theory. Factor analyses reveal a four sub-dimensions scale including Sociability, Agency, Animacy, and the Disturbance, discussing their implications on future perception of and attitudes towards robots.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2021)
Article
Chemistry, Analytical
Jianmin Wang, Yujia Liu, Tianyang Yue, Chengji Wang, Jinjing Mao, Yuxi Wang, Fang You
Summary: This study investigated the impact of transparency and anthropomorphism in robotic dual-channel communication, showing both the benefits and limitations of increasing transparency and anthropomorphism on human-robot interaction. The careful implementation of transparency methods was emphasized in order to optimize human-robot performance.
Article
Chemistry, Analytical
Wei-Ting Weng, Han-Pang Huang, Yu-Lin Zhao, Chun-Yeon Lin
Summary: This paper presents the development of a visual-perception system for a dual-arm mobile robot, and validates its effectiveness in human-robot interaction applications through experiments.
Article
Computer Science, Information Systems
Jaeuk Cho, Dongwoon Choi, Jong Hyeon Park
Summary: This paper proposes a method for variable admittance control (VAC) based physical human-robot interaction (pHRI) to enable social robots to perform various social gestures. The proposed method includes schemes to adjust the robot's damping, change the joint stiffness, and adjust the robot reference point. Experiments are carried out to verify the performance of the proposed methods, showing good results in handshaking and hugging actions.
Article
Psychology, Multidisciplinary
Simon Schreibelmayr, Martina Mara
Summary: This study investigates people's preferences for the level of human realism in synthetic voices and their evaluations in different application domains. The results indicate that voices with higher human realism are more preferred and accepted by users. The study also finds that openness to experience moderates the relationship between voice type and user acceptance.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Chemistry, Multidisciplinary
Marion Dubois-Sage, Baptiste Jacquet, Frank Jamet, Jean Baratgin
Summary: This review synthesizes the literature on the factors influencing anthropomorphism and finds that they include robotic factors, situational factors, and human factors. The mere appearance hypothesis and the SEEK theory attempt to explain anthropomorphism, with the SEEK theory better explaining the observations. However, the large methodological variability in the study of anthropomorphism makes generalization of results challenging.
APPLIED SCIENCES-BASEL
(2023)
Article
Psychology, Multidisciplinary
Nicolas Spatola, Olga A. Wudarczyk
Summary: This study found that attributing emotions to robots, both explicitly and implicitly, can predict participants' perception of robots' anthropomorphism. Explicitly, attributing secondary emotions to robots was linked to higher perception of robots' warmth and competence; implicitly, participants' perception of conceptual similarity between robots and humans predicted more anthropomorphic warmth perception and less discomfort towards robots.
COMPUTERS IN HUMAN BEHAVIOR
(2021)
Article
Psychology, Social
Jesse Fox, Andrew Gambino
Summary: This article challenges traditional assumptions and explores the interaction and influence between humanoid social robots and human relationships. It delves into the characteristics of social robots, theories of social interaction, and interpersonal relationship theories, questioning the applicability of human relationship theories to the study of human-robot relationships, and provides research and design suggestions.
CYBERPSYCHOLOGY BEHAVIOR AND SOCIAL NETWORKING
(2021)
Article
Computer Science, Artificial Intelligence
Miriam Abel, Sinem Kuz, Harshal Jayeshkumar Patel, Henning Petruck, Juliane Klann, Christopher M. Schlick, Andre Schueppen, Antonello Pellicano, Ferdinand C. Binkofski
Summary: This study analyzed the brain activations of female and male participants while observing human and robot models performing movements, and found that sex may affect the way people perceive and analyze robot actions. Female participants tended to use different brain areas to analyze the differences between movement types and models, while male participants relied more on previous knowledge to analyze movements.
FRONTIERS IN NEUROROBOTICS
(2022)
Article
Information Science & Library Science
Jang Wonseok (Eric), Kang Young Woo, Kang Yeonheung
Summary: The study found that people's trust and evaluation of robot umpires and human umpires differ, and giving robot umpires more human-like characteristics can mitigate negative effects. Additionally, perceptions of robot umpires and humanized robot umpires vary based on age and gender.
TELEMATICS AND INFORMATICS
(2021)
Article
Psychology, Developmental
Hirokazu Kumazaki, Hidenobu Sumioka, Taro Muramatsu, Yuichiro Yoshikawa, Jiro Shimaya, Ryoichiro Iwanaga, Hiroshi Ishiguro, Tomiki Sumiyoshi, Masaru Mimura
Summary: This study suggests that sensory overresponsivity (SOR) emerges early in individuals with ASD and predicts increasing levels of anxiety. Tactile seeking behavior can reduce social anxiety during communication with unfamiliar people, and hugging a huggable device before conversation can help decrease psychological stress.
JOURNAL OF AUTISM AND DEVELOPMENTAL DISORDERS
(2022)
Article
Robotics
Hidenobu Sumioka, Nobuo Yamato, Masahiro Shiomi, Hiroshi Ishiguro
Summary: A minimal design approach was used to create an infant-like robot named HIRO for emotional interactions with older adults with dementia. The recorded voice of a real human infant emitted by the robot enhances its human-likeness and promotes positive engagement with older adults. Despite no significant difference found between HIRO and a smiling-faced infant-like robot, a field study showed that HIRO was well accepted and stimulated positive interaction with older adults with dementia.
FRONTIERS IN ROBOTICS AND AI
(2021)
Review
Robotics
Hidenobu Sumioka, Masahiro Shiomi, Miwako Honda, Atsushi Nakazawa
Summary: Various care techniques have been proposed to improve relationships between senior citizens, particularly those with dementia, and their caregivers. Humanitude stands out as a promising technique offering useful interaction skills for caregivers. However, current social robots lack important functions for interacting smoothly with seniors, highlighting the need for further research and development in this area.
FRONTIERS IN ROBOTICS AND AI
(2021)
Editorial Material
Robotics
Masahiro Shiomi, Takayuki Nagai, Hidenobu Sumioka, Takamasa Iio, Martin Cooney
Article
Robotics
Takuto Akiyoshi, Junya Nakanishi, Hiroshi Ishiguro, Hidenobu Sumioka, Masahiro Shiomi
Summary: The study aimed to support human mental health through interaction with social robots, with results showing that participants who used specific conversational strategies were more willing to self-disclose and experienced less anger, but did not significantly improve the performance of the self-schema estimation function.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2021)
Editorial Material
Robotics
Hidenobu Sumioka, Jim Torresen, Masahiro Shiomi, Liang-Kung Chen, Atsushi Nakazawa
FRONTIERS IN ROBOTICS AND AI
(2022)
Article
Psychology, Multidisciplinary
Dario Alfonso Cuello Mejia, Hidenobu Sumioka, Hiroshi Ishiguro, Masahiro Shiomi
Summary: The reaction behaviors of human-looking agents to nonverbal communication cues have a significant impact on how they are perceived and how they directly affect interactions. This study investigated the factors that define pre-touch reactions in a humanoid avatar in a virtual reality environment and how they influence people's perceptions of the avatars. The inclusion of gaze behavior, including face-looking behavior, is fundamental for improving the perceptions of agents in before-touch situations.
FRONTIERS IN PSYCHOLOGY
(2023)
Article
Robotics
Yuya Onishi, Hidenobu Sumioka, Masahiro Shiomi
Summary: Human-robot touch interaction is a potential solution to compensate for the lack of physical interactions due to separations. This study developed a robot named Moffuly-II that hugs people and rubs their heads. Experimental results showed the advantages of rubbing gestures over squeezing gestures, and also the advantages of head-touching behaviors over back-touching behaviors.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Yuya Onishi, Hidenobu Sumioka, Masahiro Shiomi
Summary: This study developed a hug robot called Moffuly-II, which can hug with intra-hug gestures and also touch the user's back or head. The paper describes the robot system and the user's impression of hug with the robot.
COMPANION OF THE ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2023
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Takuto Akiyoshi, Hidenobu Sumioka, Hirokazu Kumazaki, Junya Nakanishi, Hirokazu Kato, Masahiro Shiomi
Summary: The study focuses on developing a robot that assists psychiatric day care patients in organizing their thoughts about worries and goals through conversation. The column method is used to design the conversation content and implement the autonomous conversation function. Preliminary experiments were conducted to evaluate and improve the effectiveness of the prototype system, with feedback from participants and day care staff.
COMPANION OF THE ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION, HRI 2023
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Ayumi Hayashi, Emi Anzai, Naoki Saiwaki, Hidenobu Sumioka, Masahiro Shiomi
Summary: Due to the COVID-19 pandemic, social distancing measures limit physical touching, causing increased stress. A self-touch system with touch sensor and voice function was developed to encourage self-touch behaviors. Experimental results showed that the system increased self-touch behaviors and effectively reduced stress, particularly for male participants.
PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22)
(2022)
Proceedings Paper
Computer Science, Software Engineering
Nobuo Yamato, Hidenobu Sumioka, Masahiro Shiomi, Hiroshi Ishiguro, Youji Kohda
Summary: By combining doll therapy with robot technology, the HIRO robotic baby doll provides an interactive, non-pharmacological intervention for elderly people with dementia. The minimal design approach encourages users to use their imagination, and the robot emitting baby voice recordings enhances its realism.
ADVANCES IN THE HUMAN SIDE OF SERVICE ENGINEERING (AHFE 2021)
(2021)
Proceedings Paper
Automation & Control Systems
Takashi Takuma, Koki Haruno, Kosuke Yamada, Hidenobu Sumioka, Takashi Minato, Masahiro Shiomi
Summary: This study introduced a capacitive cloth sensor that can measure the distance between soft robots and obstacles as well as the topography of pathways. The sensor is able to measure both contact information and non-contact information, showing a strong correlation between capacitance and stretch length in the first experiment. Additionally, the cloth's multi-modal sensing ability was demonstrated in various experiments.
2021 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE-ROBIO 2021)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Yuya Onishi, Hidenobu Sumioka, Masahiro Shiomi
Summary: The study found that touch interactions between humans and social robots reflect relationships and situations, with more direct touch indicating closer relationships and more subtle touch for unfamiliar relationships.
SOCIAL ROBOTICS, ICSR 2021
(2021)
Proceedings Paper
Automation & Control Systems
Hidenobu Sumioka, Kohei Nakajima, Kurima Sakai, Takashi Minato, Masahiro Shiomi
Summary: The study introduces a wearable tactile sensor suit for monitoring natural body dynamics and estimating human or robot postures. By using linear regression models to emulate wearer's movements, the research demonstrates that fabric tactile sensor networks can effectively monitor natural body motions.
2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS)
(2021)