40 research outputs found
Customerâs Acceptance of Humanoid Robots in Services: The Moderating Role of Risk Aversion
The emerging introduction of humanoid robots in service encounters is becoming a reality in the present and the short-term. Owing to this unstoppable advance, there is a need to better understand customersâ perceptions and reactions toward humanoid agents in service encounters. To shed some light on this underexplored phenomenon, this research investigates how the interaction between robot and customerâs features may contribute to a successful introduction of this disruptive innovation. Results of an empirical study with a sample of 168 US customers reveal that customerâs perceptions of robotâs human-likeness increase the intentions to use humanoid service robots. Interestingly, customersâ risk aversion moderates this relationship. Specifically, the study found that highly risk-averse customers tend to avoid using humanoids when they are perceived as highly mechanical-like. The discussion highlights the main contributions of the research, which combine previous knowledge on humanârobot interaction and risk aversion from a marketing approach. Managerial implications derived from the research findings and the avenues opened for further research are described at the end
How Do You Like Your Virtual Agent?: Human-Agent Interaction Experience through Nonverbal Features and Personality Traits
Judgment of the Humanness of an Interlocutor Is in the Eye of the Beholder
Despite tremendous advances in artificial language synthesis, no machine has so far succeeded in deceiving a human. Most research focused on analyzing the behavior of âgoodâ machine. We here choose an opposite strategy, by analyzing the behavior of âbadâ humans, i.e., humans perceived as machine. The Loebner Prize in Artificial Intelligence features humans and artificial agents trying to convince judges on their humanness via computer-mediated communication. Using this setting as a model, we investigated here whether the linguistic behavior of human subjects perceived as non-human would enable us to identify some of the core parameters involved in the judgment of an agents' humanness. We analyzed descriptive and semantic aspects of dialogues in which subjects succeeded or failed to convince judges of their humanness. Using cognitive and emotional dimensions in a global behavioral characterization, we demonstrate important differences in the patterns of behavioral expressiveness of the judges whether they perceived their interlocutor as being human or machine. Furthermore, the indicators of interest displayed by the judges were predictive of the final judgment of humanness. Thus, we show that the judgment of an interlocutor's humanness during a social interaction depends not only on his behavior, but also on the judge himself. Our results thus demonstrate that the judgment of humanness is in the eye of the beholder
Emotional design and human-robot interaction
Recent years have shown an increase in the importance of emotions applied to the Design field - Emotional Design. In this sense, the emotional design aims to elicit (e.g., pleasure) or prevent (e.g., displeasure) determined emotions, during human product interaction. That is, the emotional design regulates the emotional interaction between the individual and the product (e.g., robot). Robot design has been a growing area whereby robots are interacting directly with humans in which emotions are essential in the interaction. Therefore, this paper aims, through a non-systematic literature review, to explore the application of emotional design, particularly on Human-Robot Interaction. Robot design features (e.g., appearance, expressing emotions and spatial distance) that affect emotional design are introduced. The chapter ends with a discussion and a conclusion.info:eu-repo/semantics/acceptedVersio
A systematic review of attitudes, anxiety, acceptance, and trust towards social robots
As social robots become more common, there is a need to understand how people perceive and interact with such technology. This systematic review seeks to estimate peopleâs attitudes toward, trust in, anxiety associated with, and acceptance of social robots; as well as factors that are associated with these beliefs. Ninety-seven studies were identified with a combined sample of over 13,000 participants and a standardized score was computed for each in order to represent the valence (positive, negative, or neutral) and magnitude (on a scale from 1 to ââ1) of peopleâs beliefs about robots. Potential moderating factors such as the robotsâ domain of application and design, the type of exposure to the robot, and the characteristics of potential users were also investigated. The findings suggest that people generally have positive attitudes towards social robots and are willing to interact with them. This finding may challenge some of the existing doubt surrounding the adoption of robotics in social domains of application but more research is needed to fully understand the factors that influence attitudes
Exploring age differences in motivations for and acceptance of chatbot communication in a customer service context
Exploiting ability for human adaptation to facilitate improved human-robot interaction and acceptance
© Praminda Caleb-Solly, Sanja Dogramadzi, Claire A.G.J. Huijnen, and Herjan van den Heuvel. This article reports findings from a usability and user experience evaluations conducted in the last 2 years of a 4-year assistive robotics research project using the Kompai robot. It focuses on the evaluations that were conducted with older adults in an assisted living studio in the United Kingdom (which was arranged as an open plan studio apartment), a UK residential care home, and an older coupleâs own home in the Netherlands over 2 days. It examines emergent adaptive human behaviour in human-robot interaction (HRI) to consider whether we are approaching the embodiment and functionality of service robots correctly. It discusses possible improvements that could be made at the systems level that better exploit peopleâs natural ability to adapt and find workarounds to technologies and their limitations