We argue for an interdisciplinary approach that connects existing models and theories in Human–Robot Interaction (HRI) to traditions in communication theory. In this article, we review existing models of interpersonal communication and interaction models that have been applied and developed in the contexts of HRI and social robotics. We argue that often, symmetric models are proposed in which the human

Emotional support in the context of psychological caregiving is an important aspect of human–human interaction that can significantly increase well-being. In this study, we tested if non-verbal gestures of a non-humanoid robot can increase emotional support in a human–human interaction. Sixty-four participants were invited in pairs to take turns in disclosing a personal problem and responding in a

This trial represents the final stage of the CARESSES project which aimed to develop and evaluate a culturally competent artificial intelligent system embedded into social robots to support older adult wellbeing. A parallel group, single-blind randomised controlled trial was conducted across older adult care homes in England and Japan. Participants randomly allocated to the Experimental Group or Control

The social robotics field has been growing in prominence. Many developed countries have begun to apply such robots in various fields, such as shopping reception, education, home companion, medical care, and security. However, expectations of social robots have also changed. In addition to performing their specific tasks, social robots are also expected to consider users’ emotional needs. Therefore

This paper presents a human-robot interaction (HRI) study of a dedicated Mission Specialist interface for performing telemanipulation tasks using a small unoccupied aerial vehicle (UAV). Current literature suggests that the successful completion of aerial manipulation tasks in real-world environments requires human input due to challenges in autonomous perception and control. Visual information of

Is it true that parents always prioritize educational effectiveness when selecting childcare services? The current study identified the potential requirements of dual-income parents toward social robots’ diverse childcare functions (e.g., socialization, education, entertainment, and consultation). The results revealed that parental attitudes toward robots were made more positive by all the childcare

The great diversity of end-user tasks ranging from manufacturing environments to personal homes makes pre-programming robots for general purpose applications extremely challenging. In fact, teaching robots new actions from scratch that can be reused for previously unseen tasks remains a difficult challenge and is generally left up to robotics experts. In this work, we present iRoPro, an interactive

Taking the perspective of others is critical for both human–human and human–robot interactions. Previous studies using the dot perspective task have revealed that people could automatically process what other people can see. In this study, following the classical dot perspective task, we showed that Chinese participants could not automatically process humanoid robot avatars’ perspective when only judging

Recent high-profile failures of domestic robotic products suggest more research is needed on factors that impact consumers’ willingness to purchase robots, and the success rates of the consumer robotics industry compared with other innovative technologies. Using data from two crowdfunding sites (Kickstarter and Indiegogo), we summarize the applications, forms, prices, contexts of use, target populations

Robots are becoming more available for workplace collaboration, but many questions remain. Are people actually willing to assign collaborative tasks to robots? And if so, exactly which tasks will they assign to what kinds of robots? Here we leverage psychological theories on person-job fit and mind perception to investigate task assignment in human–robot collaborative work. We propose that people will

Understanding people’s perceptions and inferences about social robots and, thus, their responses toward them, constitutes one of the most pervasive research themes in the field of Human–Robot interaction today. We herein augment and extend this line of work by investigating, for the first time, the novel proposition that one’s implicit self-theory orientation (underlying beliefs about the malleability

A correction to this paper has been published: https://doi.org/10.1007/s12369-021-00772-y

Embodied Virtual Agents (EVAs) are used today as interfaces for social robots, educational tutors, game counterparts, medical assistants, as well as companions for the elderly and individuals with psychological or behavioral conditions. Forming a reliable and trustworthy interaction is critical to the success and acceptability of this new form of interaction. In this paper, we report on a study investigating

Both designers and users of social robots tend to anthropomorphize robots. Focusing on the question how to conceptualize the relation between robots and humans, this paper first outlines two opposite philosophical views regarding this relation, which are connected to various normative responses to anthropomorphism and anthropomorphization. Then it argues for a third view: navigating between what it

With this study we wanted to extend the research on personality traits and the similarity- and complementarity-attraction effects in HRI, and explore which demographic variables might affect them. For that purpose, we conducted a study with 46 participants under a pairwise robot comparison experimental design, combining verbal and non-verbal behaviors, and complementing the results with qualitative

Soft robotics technology has been proposed for a number of applications that involve human–robot interaction. It is commonly presumed that soft robots are perceived as more natural, and thus more appealing, than rigid robots, an assumption that has not hitherto been tested or validated. This study investigates human perception of and physical interaction with soft robots as compared with rigid robots

The present article reports a computer-aided teaching strategy, which is novel, using a MATLAB toolbox (i.e. SimMechanics) for project-based learning in a mechanical engineering robotics course (i.e. robot analysis). The effectiveness of the proposed teaching strategy was evaluated using multiple lenses of critical reflection such as student-reflection using numerous students’ surveys, and students’

We present the Dynamic Stack Decider (DSD), a lightweight open-source control architecture. It combines different well-known approaches and is inspired by behavior trees as well as hierarchical state machines. The DSD allows to design and structure complex behavior of robots as well as software agents while providing easy maintainability. Challenges that often occur in robotics, i.e., a dynamic environment

In educational HRI, it is generally believed that a robots behavior has a direct effect on the engagement of a user with the robot, the task at hand and also their partner in case of a collaborative activity. Increasing this engagement is then held responsible for increased learning and productivity. The state of the art usually investigates the relationship between the behaviors of the robot and the

For some years now, the use of social, anthropomorphic robots in various situations has been on the rise. These are robots developed to interact with humans and are equipped with corresponding extremities. They already support human users in various industries, such as retail, gastronomy, hotels, education and healthcare. During such Human-Robot Interaction (HRI) scenarios, physical touch plays a central

This is a case study focused on the development of LOVOT, a consumer home robot that went on sale in 2019. Since its unveiling in 2018, approximately 20,000 people have visited the LOVOT demonstration event as of the end of July 2019. In practical terms, LOVOT lives at home with the user long-term, similar to a companion animal; LOVOT performs continuous natural motion for user comfort. We applied

This article presents an exploratory study aimed at: (i) understanding participants’ first impression of the Cyton Gamma 1500, a small machine-like robot arm, and (ii) designing robot body language to convey certain intentions with regard to a personal assistant robotic application. The between-group study comprised of three distinct groups of participants. Each group had a different first encounter

Currently, the cognitive load imposed by tasks with different complexity during collaborative learning or pair learning has not been well studied. This study examined the effect of three types of tasks with different complexity on students’ cognitive load during pair learning. We randomly selected a total of 76 pupils to participate in a one-semester robotics course for the experiment. The results

For the social robot with serial elastic actuator, the joint dynamics model has the problems of strong coupling and high nonlinear, and the traditional PD control algorithm cannot achieve accurate trajectory tracking effect on the joint position of social robot using series elastic actuator. Therefore, an optimized Radial basis function (RBF) neural network adaptive control algorithm was proposed.

Prior research into automated dental procedures has largely focused on design and engineering issues; however, there is very little research that investigates the public’s perceptions of, or their willingness to undergo, robotic dentistry. Therefore, the purpose of the current study is to better understand the characteristics of a person who would be willing to undergo robotic dental cleanings by building

Young people with cystic fibrosis face significant physical discomfort and an extensive treatment burden that often includes lengthy hospital stays and increased risk for psychological distress. With many treatments being critically important, parents are often compelled to act as translators between the child patient and medical staff. An inadvertent consequence of this dynamic is that young patients

Emotional expressiveness in robots has attracted increased research interest, and development of this technology has progressed in recent years. A wide variety of methods employing facial expressions, speech, body movements, and colors indicating emotional expression have been proposed. Although previous studies explored how emotional expressions are recognized and affect human behavior, cooperative

A basic notion of transparency in automated systems design is the need to support user tracking and understanding of system states. Many usability principles for complex systems design implicitly target the concept of transparency. In this study, we made comparison of a “baseline” control interface mimicking an existing available UAV ground control station with an “enhanced” interface designed with

Social signals are commonly used to facilitate the usability of humanoid robots. While providing the robot with an extended expressibility, these signals are often applied only in structured interactions where parts of the familiarization or farewell processes are disregarded in the evaluation. In order to establish the consideration of a more comprehensive view, this article presents a holistic model

Increasingly, people must interact with robot technologies. In this research, we examined attitudes toward robots as equipment and as coworkers and whether these attitudes are affected by the autonomy of the robot among participants living in the United States (Study 1: N = 1003; Study 2: N = 969). Study 1 revealed that respondents had a more positive attitude toward robots as equipment than as coworkers

Intelligent agents are part of the smartphones, smart speakers, and home robots that millions of us own and interact with regularly. However, little is known about if or how these agents should be embodied. Additionally, as conversations with agents move from heavily structured and transactional to more flexible and, at times, social, embodiment may play a more nuanced and variable role. This paper

Older adults residing in long term care (LTC) settings commonly experience apathy, a neuropsychiatric condition with adverse consequences of increased morbidity and mortality. Activities that combine social, physical and cognitive stimuli are most effective in engaging older adults with apathy but are time consuming and require significant staff resources. We present the results from an initial pilot

The field of human–robot interaction (HRI) is young and highly inter-disciplinary, and the approaches, standards and methods proper to it are still in the process of negotiation. This paper reviews the use of qualitative methods and approaches in the HRI literature in order to contribute to the development of a foundation of approaches and methodologies for these new research areas. In total, 73 papers

In this paper, we investigate the use of a social robot as an engaging interface of a serious game intended to make children more aware and well disposed towards waste recycle. The game has been designed as a competition between the robot Pepper and a child. During the game, the robot simultaneously challenges and teaches the child how to recycle waste materials. To endow the robot with the capability

Artificial intelligence and robotics are rapidly advancing. Humans are increasingly often affected by autonomous machines making choices with moral repercussions. At the same time, classical research in robotics shows that people are adverse to robots that appear eerily human—a phenomenon commonly referred to as the uncanny valley effect. Yet, little is known about how machines’ appearances influence

This study investigated how touching and being touched by a humanoid robot affects human physiology, impressions of the interaction, and attitudes towards humanoid robots. 21 healthy adult participants completed a 3 (touch style: touching, being touched, pointing) × 2 (body part: hand vs buttock) within-subject design using a Pepper robot. Skin conductance response (SCR) was measured during each interaction

The paper presents an original research titled, ‘SUHAKAM Going Digital with Monash’, a two years Human Right Education initiatives in Malaysia. SUHAKAM is the National Human Rights Institution established by the Malaysia Parliament and is actively finding innovative approach for Human Rights public awareness, especially child rights education in Malaysia. Monash University Malaysia is a prominent University

Hybrid military teams, formed by human warfighters and autonomous artificial agents, represent the technological future of Defence operations. Both the potential and the inherent limitations of current technology are well-known, but the cognitive–behavioral and motivational aspects of human–robot interaction on the battlefield have yet to be systematically investigated. To lay the theoretical and methodological

The goal of this study was to analyze the interpersonal coordination of patients suffering from schizophrenia (SZ) using a humanoid robot NAO. NAO was controlled by a neurally-inspired model that enables motions synchronization between robot and human. Using a robot has the advantage in that it can be modified and controlled without being influenced by the human with whom they are interacting. More

Although research on children’s trust in social robots is increasingly growing in popularity, a systematic understanding of the factors which influence children’s trust in robots is lacking. In addition, meta-analyses in child–robot-interaction (cHRI) have yet to be popularly adopted as a method for synthesising results. We therefore conducted a meta-analysis aimed at identifying factors influencing

This paper focuses on the interaction and cooperation between two humanoid robots. In this research, Python language and NAO robot as hardware were used and based on Choregraphe, Webots and other simulation platforms, and through three experiments realize the interactions between two humanoid robots and the cooperation methods. This research used NAO's vision system, and then proposed the method of

The use of social robots in service scenarios (e.g. in hotels) is expected to increase. Research has indicated that realistic threat and identity threat contribute to prejudice, discrimination, and conflict. Therefore, designing smart robots that can understand user needs and provide prompt service is critical. This study aimed to explore the relationships among perceived threat, negative attitudes

This study investigated the effect of a robot tutor’s feedback valence (positive feedback and negative feedback) and attributional style (internal-attribution and external-attribution) on learners. A Nao robot was designed to be a dance tutor that taught participants dance movements and gave performance feedback. Thirty-six graduate and undergraduate students participated in the experiments and were

In recent years Artificial Intelligence (AI) has gained much popularity, with the scientific community as well as with the public. Often, AI is ascribed many positive impacts for different social domains such as medicine and the economy. On the other side, there is also growing concern about its precarious impact on society and individuals, respectively. Several opinion polls frequently query the public

With the rapid development of traditional industries, intelligent robots have been widely used in the hospitality industry. Although the development of intelligent robots faces a positive trend and a good market in the hospitality industry, it also faces the problem that robots cannot effectively collect and use user data in the field of human–computer interaction. It not only affects the interaction

We examined how a revised presentation method of The Godspeed Scales affected results accruing from such tests which concern user judgments of anthropomorphism, animacy, likability, perceived intelligence, and perceived safety of robots. Through the use of Likert-type scales, rather than the original semantic- or bipolar-scale structure, we correlated results in order to determine which word pairs

The evaluation of how (human) individuals perceive robots is a central issue to better understand human–robot interaction (HRI). On this topic, promising proposals have emerged. However, present tools are not able to assess a sufficient part of the composite psychological dimensions involved in the evaluation of HRI. Indeed, the percentage of variance explained is often under the recommended threshold

Society is starting to come up with exciting applications for social robots like butlers, coaches, and waiters. However, these robots face a challenging task: to meet people during a first encounter. This survey explores the literature that contributes to this task. We define a taxonomy based on psychology and sociology models: Kendon’s greeting model and Greenspan’s model of social competence. We

This research develops a conversational robot that stimulates users’ dialogue satisfaction and motivation in non-task-oriented dialogues that include opinion and/or preference exchanges. One way to improve user satisfaction and motivation is by demonstrating the robot’s ability to understand user opinions. In this paper, we explore a method that efficiently obtains the concept of user preferences:

Appropriate human likeness for social robots is said to increase trust and acceptance. Whether this applies to human communication features like dialog initiative needs to be investigated. Dialog initiative could be unacceptable for a robot, depending on the dialog content. Hence, the presented study investigates how a social robot’s proactive verbal and non-verbal communication behavior affects trust

As robots begin to occupy our social spaces, touch will increasingly become part of human–robot interactions. This paper examines the impact of observing a robot touch a human on trust in that robot. In three online studies, observers watched short videos of human–robot interactions and provided a series of judgments about the robot, which either did or did not touch the human on the shoulder. Trust

The growing introduction of robotics in non-industrial applications where the environment is unstructured and changing, has led to the need of development of safer and more intuitive, human–robot interfaces. In such environments, the use of collaborative robots has potential benefits, due to the combination of user experience, knowledge and flexibility with the robot’s accuracy, stiffness and repeatability

The aim of this paper is to analyze a new phenomenon that is emerging in the field of social robotics, which we name as “roboid”. The roboid is a robot that is still at the prototype stage but claims to be fully functioning. We argue that the roboid has been created to handle a new phase between the prototyping and the commercialization of robots. In this intermediate phase, a wide-spread promotional

Many studies have been conducted to find approaches to overcome the Uncanny Valley. However, the focus on the influence of the robot’s appearance leaves a big missing part: the influence of the robot’s nonverbal behaviour. This impedes the complete exploration of the Uncanny Valley. In this study, we explored the Uncanny Valley from the viewpoint of the robot’s nonverbal behaviour in regard to the

Stage plays, theories of theatre, narrative studies, and robotics research can serve to identify, explore, and interrogate theatrical elements that support the effective performance of sociable humanoid robots. Theatre, including its parts of performance, aesthetics, character, and genre, can also reveal features of human–robot interaction key to creating humanoid robots that are likeable rather than

Social robots are being used increasingly across a range of settings, including in the context of therapeutic interactions with children. While research has shown that interaction with live therapy dogs can be calming and enjoyable for children, it is currently unclear whether social robots can produce similar outcomes. In this study, 11–12-year old children completed a questionnaire about their biophilic

Understanding pedestrian proxemic utility and trust will help autonomous vehicles to plan and control interactions with pedestrians more safely and efficiently. When pedestrians cross the road in front of human-driven vehicles, the two agents use knowledge of each other’s preferences to negotiate and to determine who will yield to the other. Autonomous vehicles will require similar understandings,

Nowadays, the Fourth Industrial Revolution has brought artificial intelligence to the forefront, and more and more intelligent robots begin to be used in the hospitality industry. In this study, the application of service humanoid robots in the hospitality industry is investigated based on Cardiff Metropolitan University EUREKA Robotics Lab’s robot as reported by Lab (in Eureka robotics lab, 2017,

In this paper, the problem of the robust tracking for two-arm condenser cleaning crawler-type mobile manipulators (CCCMM) with delayed angle-velocity uncertainties is original investigated. The two-arm condenser cleaning crawler-type mobile manipulators are composed of a crawler-type mobile platform and two-arm industrial manipulators.The uncertainty is nonlinear time-varying and does not require a

Humor is a pervasive feature of everyday social interactions that might be leveraged to improve human–robot interactions (HRI). Our goal is to evaluate how the use of humor can improve HRI and enhance the user’s perception of the robot, as well as to derive implications for future research and development of humorous robots. We conducted a systematic search of 7 digital libraries relevant in the areas