The increasing mere presence of robots in everyday life does not automatically result in gradual acceptance of these systems by human users. Over the past years, we have conducted several studies with the goal to provide insight into the long-term process of social robots in domestic environments. This paper presents our overall conclusions from the combined findings of our multiple studies on social robot acceptance. We will provide insights from a user's perspective of what makes robots social, describe a phased framework of the long-term process of robot acceptance, present some key factors for social robot acceptance, offer guidelines to build better sociable robots, and provide some recommendations for conducting research in domestic e...
The study presented in this article aims to improve our understanding of how people use zoomorphic r...
When designing social robots, it is crucial to understand the diverse expectations of different kind...
This paper gives a brief overview of the challenges for multi-model perception and generation applie...
The increasing mere presence of robots in everyday life does not automatically result in gradual acc...
As the employment of robots for long-term evaluations in home settings are just starting to be robus...
Abstract Social psychology offers a perspective on the acceptance and adoption of technology that is...
Many independent studies in social robotics and human–robot interaction have gained knowledge on var...
The temporal dimension of acceptance is under-researched in technology acceptance research. Yet, peo...
In order to introduce social robots successfully, we must first understand the underlying reasons wh...
Robotics researchers foresee that robots will become ubiquitous in our natural environments, such as...
As the field of social robotics is growing, a consensus has been made on the design and implementati...
As the field of social robotics is growing, a consensus has been made on the design and implementati...
As more and more robots enter our social world, there is a strong need for further field studies of ...
Social robots are robots interacting with humans not only in collaborative settings, but also in per...
A common description of a social robot is for it to be capable of communicating in a humanlike manne...
The study presented in this article aims to improve our understanding of how people use zoomorphic r...
When designing social robots, it is crucial to understand the diverse expectations of different kind...
This paper gives a brief overview of the challenges for multi-model perception and generation applie...
The increasing mere presence of robots in everyday life does not automatically result in gradual acc...
As the employment of robots for long-term evaluations in home settings are just starting to be robus...
Abstract Social psychology offers a perspective on the acceptance and adoption of technology that is...
Many independent studies in social robotics and human–robot interaction have gained knowledge on var...
The temporal dimension of acceptance is under-researched in technology acceptance research. Yet, peo...
In order to introduce social robots successfully, we must first understand the underlying reasons wh...
Robotics researchers foresee that robots will become ubiquitous in our natural environments, such as...
As the field of social robotics is growing, a consensus has been made on the design and implementati...
As the field of social robotics is growing, a consensus has been made on the design and implementati...
As more and more robots enter our social world, there is a strong need for further field studies of ...
Social robots are robots interacting with humans not only in collaborative settings, but also in per...
A common description of a social robot is for it to be capable of communicating in a humanlike manne...
The study presented in this article aims to improve our understanding of how people use zoomorphic r...
When designing social robots, it is crucial to understand the diverse expectations of different kind...
This paper gives a brief overview of the challenges for multi-model perception and generation applie...