User-Adaptive Interaction in Social Robots: A Survey Focusing on Non-physical Interaction

Martins, Gonçalo; Santos, Leonardo D.; Dias, Jorge

doi:10.1007/s12369-018-0485-4

Cited by 39 publications

(15 citation statements)

References 60 publications

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“…The research in this direction [32][33][34][35][36][37][38] concerns using information about the user in order to adapt the SRs to the user's particular needs and performance intentions, thereby improving acceptance; therefore several studies focus, for example, on how movements of the robot's body parts imitate human emotions to express different emotions such as anger, disgust, fear, happiness, sadness and surprise.…”

Section: Affect Personality and Adaptationmentioning

confidence: 99%

The Social Robot in Rehabilitation and Assistance: What Is the Future?

Giansanti

2021

Healthcare

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This commentary aims to address the field of social robots both in terms of the global situation and research perspectives. It has four polarities. First, it revisits the evolutions in robotics, which, starting from collaborative robotics, has led to the diffusion of social robots. Second, it illustrates the main fields in the employment of social robots in rehabilitation and assistance in the elderly and handicapped and in further emerging sectors. Third, it takes a look at the future directions of the research development both in terms of clinical and technological aspects. Fourth, it discusses the opportunities and limits, starting from the development and clinical use of social robots during the COVID-19 pandemic to the increase of ethical discussion on their use.

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Section: Affect Personality and Adaptationmentioning

confidence: 99%

The Social Robot in Rehabilitation and Assistance: What Is the Future?

Giansanti

2021

Healthcare

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“…They review cues used to profile people as well as the robotic skills and methods to adapt their behavior to that user profile. A more recent survey from Martins and colleagues [75] explores robot adaptation on non-physical interaction behaviors. They propose a taxonomy that they use to categorize analyzed works under three categories: (i) adaptive systems with no user model, (ii) systems based on static user models, and (iii) systems based on dynamic user models.…”

Section: Survey Motivationmentioning

confidence: 99%

Break the Ice: a Survey on Socially Aware Engagement for Human–Robot First Encounters

Avelino

Garcia‐Marques

Ventura

et al. 2021

Int J of Soc Robotics

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“…It is important to underline that the robot might be appropriate not only in the context for which it was originally conceived (i.e., private home, hospital, and residential facility) but also for people with different levels of residual abilities. In other words, the robot should be able to adapt to the variability and different cultural and social contexts [89].…”

Section: Architecture Designmentioning

confidence: 99%

A Survey of Behavioral Models for Social Robots

et al. 2019

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The cooperation between humans and robots is becoming increasingly important in our society. Consequently, there is a growing interest in the development of models that can enhance and enrich the interaction between humans and robots. A key challenge in the Human-Robot Interaction (HRI) field is to provide robots with cognitive and affective capabilities, by developing architectures that let them establish empathetic relationships with users. Over the last several years, multiple models were proposed to face this open-challenge. This work provides a survey of the most relevant attempts/works. In details, it offers an overview of the architectures present in literature focusing on three specific aspects of HRI: the development of adaptive behavioral models, the design of cognitive architectures, and the ability to establish empathy with the user. The research was conducted within two databases: Scopus and Web of Science. Accurate exclusion criteria were applied to screen the 4916 articles found. At the end, 56 articles were selected. For each work, an evaluation of the model is made. Pros and cons of each work are detailed by analyzing the aspects that can be improved to establish an enjoyable interaction between robots and users.

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User-Adaptive Interaction in Social Robots: A Survey Focusing on Non-physical Interaction

Cited by 39 publications

References 60 publications

The Social Robot in Rehabilitation and Assistance: What Is the Future?

The Social Robot in Rehabilitation and Assistance: What Is the Future?

Break the Ice: a Survey on Socially Aware Engagement for Human–Robot First Encounters

A Survey of Behavioral Models for Social Robots

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