We used a new method called “Ghost-in-the-Machine” (GiM) to investigate social interactions with a robotic bartender taking orders for drinks and serving them. Using the GiM paradigm allowed us to identify how human participants recognize the intentions of customers on the basis of the output of the robotic recognizers. Specifically, we measured which recognizer modalities (e.g., speech, the distance to the bar) were relevant at different stages of the interaction. This provided insights into human social behavior necessary for the development (...) of socially competent robots. When initiating the drink-order interaction, the most important recognizers were those based on computer vision. When drink orders were being placed, however, the most important information source was the speech recognition. Interestingly, the participants used only a subset of the available information, focussing only on a few relevant recognizers while ignoring others. This reduced the risk of acting on erroneous sensor data and enabled them to complete service interactions more swiftly than a robot using all available sensor data. We also investigated socially appropriate response strategies. In their responses,the participants preferred to use the same modality as the customer’s requests, e.g., they tended to respond verbally to verbal requests. Also, they added redundancy to their responses, for instance by using echo questions. We argue that incorporating the social strategies discovered with the GiM paradigm in multimodal grammars of human–robot interactions improves the robustness and the ease-of-use of these interactions, and therefore provides a smoother user experience. (shrink)

While traffic signals, signs, and road markings provide explicit guidelines for those operating in and around the roadways, some decisions, such as determinations of “who will go first,” are made by implicit negotiations between road users. In such situations, pedestrians are today often dependent on cues in drivers’ behavior such as eye contact, postures, and gestures. With the introduction of more automated functions and the transfer of control from the driver to the vehicle, pedestrians cannot rely on such non-verbal cues (...) anymore. To study how the interaction between pedestrians and automated vehicles (AVs) might look like in the future, and how this might be affected if AVs were to communicate their intent to pedestrians, we designed an external vehicle interface called automated vehicle interaction principle (AVIP) that communicates vehicles’ mode and intent to pedestrians. The interaction was explored in two experiments using a Wizard of Oz approach to simulate automated driving. The first experiment was carried out at a zebra crossing and involved nine pedestrians. While it focused mainly on assessing the usability of the interface, it also revealed initial indications related to pedestrians’ emotions and perceived safety when encountering an AV with/without the interface. The second experiment was carried out in a parking lot and involved 24 pedestrians, which enabled a more detailed assessment of pedestrians’ perceived safety when encountering an AV, both with and without the interface. For comparison purposes, these pedestrians also encountered a conventional vehicle. After a short training course, the interface was deemed easy for the pedestrians to interpret. The pedestrians stated that they felt significantly less safe when they encountered the AV without the interface, compared to the conventional vehicle and the AV with the interface. This suggests that the interface could contribute to a positive experience and improved perceived safety in pedestrian encounters with AVs – something that might be important for general acceptance of AVs. As such, this topic should be further investigated in future studies involving a larger sample and more dynamic conditions. (shrink)

Abstract“Integrative Social Robotics” (ISR) is a new approach or general method for generating social robotics applications in a responsible and “culturally sustainable” fashion. Currently social robotics is caught in a basic difficulty we call the “triple gridlock of description, evaluation, and regulation”. We briefly recapitulate this problem and then present the core ideas of ISR in the form of five principles that should guide the development of applications in social robotics. Characteristic of ISR is to intertwine a mixed method approach (...) (i.e., conducting experimental, quantitative, qualitative, and phenomenological research for the same envisaged application) with conceptual and axiological analysis as required in professional studies in applied ethics; moreover, ISR is value-drivenand abides by the “Non-Replacement Principle”:Social robots may only do what humans should but cannot do. We briefly compare ISR to other value-sensitive or value-directed design models, with a view to the task of overcoming the triple gridlock. Finally, working from an advanced classification of pluridiscplinary research, we argue that ISR establishes a research format that can turn social robotics into a new transdiscipline. (shrink)

This paper discusses the ethical implications of perverse incentives with regard to autonomous driving. We define perverse incentives as a feature of an action, technology, or social policy that invites behavior which negates the primary goal of the actors initiating the action, introducing a certain technology, or implementing a social policy. As a special form of means-end-irrationality, perverse incentives are to be avoided from a prudential standpoint, as they prove to be directly self-defeating: They are not just a form of (...) unintended side effect that must be balanced against the main goal or value to be realized by an action, technology, or policy. Instead, they directly cause the primary goals of the actors—i.e., the goals that they ultimately pursue with the action, technology, or policy—to be “worse achieved”. In this paper, we elaborate on this definition and distinguish three ideal-typical phases of adverse incentives, where only in the last one the threshold for a perverse incentive is crossed. In addition, we discuss different possible relevant actors and their goals in implementing autonomous vehicles. We conclude that even if some actors do not pursue traffic safety as their primary goal, as part of a responsibility network they incur the responsibility to act on the common primary goal of the network, which we argue to be traffic safety. (shrink)

An emerging topic in robot design and scholarly research is socially assistive robots for senior citizens. Compared to robots in other sectors, SARs can augment their assistive-utilitarian functions by offering social, emotional, and cognitive support to seniors. This study draws upon interviews with 45 senior citizens to understand this group’s expectations for human-robot interactions and their anticipated needs for robots. Our grounded theory analysis suggests that senior citizens expect robots to meet three types of needs: physical, informational, and interactional. Furthermore, (...) they seek assurances that they will have complete control over interactions with robots. Findings show that seniors’ mental models about robots are shaped by their recent experiences with advanced communications technologies and mediated representations of robots in popular culture. Findings are discussed in light of practical design considerations and two theoretical perspectives. (shrink)

Over the past two decades, ethical challenges related to robotics technologies have gained increasing interest among different research and non-academic communities, in particular through the field of roboethics. While the reasons to address roboethics are clear, why not to engage with ethics needs to be better understood. This paper focuses on a limited or lacking engagement with ethics that takes place within some parts of the robotics community and its implications for the conceptualisation of the human being. The underlying assumption (...) is that the term ‘ethical’ essentially means ‘human’. Thus, this paper discusses a working hypothesis according to which by avoiding to engage with roboethics, roboticists contribute to the tacit dehumanisation process emerging in and outside of robotics. An alternative approach includes ‘lived ethics’ which involves not only incorporating formal ethical approaches into the roboticists’ work but also ‘being’ ethical and actually engaging with ethical reflection and practice. (shrink)

Robots are versatile devices that are promising tools for supporting teaching and learning in the classroom or at home. In fact, robots can be engaging and motivating, especially for young children. This paper presents an experimental study with 81 kindergarten children on memorizations of two tales narrated by a humanoid robot. The variables of the study are the content of the tales (knowledge or emotional) and the different social behaviour of the narrators: static human, static robot, expressive human, and expressive (...) robot. Results suggest a positive effect of the expressive behaviour in robot storytelling, whose effectiveness is comparable to a human with the same behaviour and better when compared with a static inexpressive human. Higher efficacy is achieved by the robot in the tale with knowledge content, while the limited capability to express emotions made the robot less effective in the tale with emotional content. (shrink)

An emerging topic in robot design and scholarly research is socially assistive robots for senior citizens. Compared to robots in other sectors, SARs can augment their assistive-utilitarian functions by offering social, emotional, and cognitive support to seniors. This study draws upon interviews with 45 senior citizens to understand this group’s expectations for human-robot interactions and their anticipated needs for robots. Our grounded theory analysis suggests that senior citizens expect robots to meet three types of needs: physical, informational, and interactional. Furthermore, (...) they seek assurances that they will have complete control over interactions with robots. Findings show that seniors’ mental models about robots are shaped by their recent experiences with advanced communications technologies and mediated representations of robots in popular culture. Findings are discussed in light of practical design considerations and two theoretical perspectives. (shrink)

An emerging topic in robot design and scholarly research is socially assistive robots for senior citizens. Compared to robots in other sectors, SARs can augment their assistive-utilitarian functions by offering social, emotional, and cognitive support to seniors. This study draws upon interviews with 45 senior citizens to understand this group’s expectations for human-robot interactions and their anticipated needs for robots. Our grounded theory analysis suggests that senior citizens expect robots to meet three types of needs: physical, informational, and interactional. Furthermore, (...) they seek assurances that they will have complete control over interactions with robots. Findings show that seniors’ mental models about robots are shaped by their recent experiences with advanced communications technologies and mediated representations of robots in popular culture. Findings are discussed in light of practical design considerations and two theoretical perspectives. (shrink)

Studying teaching behavior in controlled conditions is difficult. It seems intuitive that a human learner might have trouble reliably recreating response patterns over and over in interaction. A robot would be the perfect tool to study teaching behavior because its actions can be well controlled and described. However, due to the interactive nature of teaching, developing such a robot is not an easy task. As we will show in this review, respective studies require certain robot appearances and behaviors. These mainly (...) should induce teaching behavior in humans, be interactive, match the study design, and be realizable in terms of effort. We discuss how remote controlling of the robot or simulating robot capabilities is used as an option. With this review, we introduce the field of research on studying human teaching behavior with robots as a tool in the experimental design. We will provide a structured overview of existing work, and identify main challenges of employing robots in such studies. (shrink)

Background:The surge in the development of social robots gives rise to an increased need for systematic methods of assessing attitudes towards robots.Aim:This study presents the development of a questionnaire for assessing attitudinal stance towards social robots: the ASOR.Methods:The 37-item ASOR questionnaire was developed by a task-force with members from different disciplines. It was founded on theoretical considerations of how social robots could influence five different aspects of relatedness.Results:Three hundred thirty-nine people responded to the survey. Factor analysis of the ASOR yielded (...) a three-factor solution consisting of a total of 25 items: “ascription of mental capacities”, “ascription of socio-practical capacities”, and “ascription of socio-moral status”. This data was further triangulated with data from interviews (n = 10).Conclusion:the ASOR allows for assessment of three distinct facets of ascription of capacities to social robots and offers a new type of assessment of attitudes towards social robots. It appeared that ASOR not only assesses ascription of capacities to social robots but it also gauged overall positive attitudes towards social robots. (shrink)

Robots are versatile devices that are promising tools for supporting teaching and learning in the classroom or at home. In fact, robots can be engaging and motivating, especially for young children. This paper presents an experimental study with 81 kindergarten children on memorizations of two tales narrated by a humanoid robot. The variables of the study are the content of the tales (knowledge or emotional) and the different social behaviour of the narrators: static human, static robot, expressive human, and expressive (...) robot. Results suggest a positive effect of the expressive behaviour in robot storytelling, whose effectiveness is comparable to a human with the same behaviour and better when compared with a static inexpressive human. Higher efficacy is achieved by the robot in the tale with knowledge content, while the limited capability to express emotions made the robot less effective in the tale with emotional content. (shrink)