Our private perception of listening to an individualized playlist during a jog is very different from the interaction we might experience at a live concert. We do realize that music is not necessarily a performing art, such as dancing or theater, while our demands regarding musical performances are conflicting: We expect perfect sound quality and the thrill of the immediate. We want the artist to overwhelm us with her virtuosity and we want her to struggle, just like a human. We (...) want to engage with the musical expression and rely on visual and physical cues. Considering that the ears of today's listeners are used to technologically mediated music, in this paper I explore the unique qualities of musical live performances and examine if our conception allows for new mechatronic inventions, in particular robotic musicians, to participate in this art form. Some of Godlovitch's main thoughts expounded in his work on "musical performance" [11] serve as a reference and starting point for this investigation. His concept of `personalism', which deprives computer-/program-based musical performances from expressive potential and creative accomplishment is an issue that I want to challenge by pointing out new approaches arising from a reective discourse on technology, embodiment and expression. The enquiry conducted illustrates, how in reasoning about machine performers and algorithmic realization of music, we also examine the perceptual, physical and social aspects of human musicianship, reconceptualizing our understanding of a musical live performance. (shrink)

In 1969, John McCarthy and Pat Hayes uncovered a problem that has haunted the field of artificial intelligence ever since--the frame problem. The problem arises when logic is used to describe the effects of actions and events. Put simply, it is the problem of representing what remains unchanged as a result of an action or event. Many researchers in artificial intelligence believe that its solution is vital to the realization of the field's goals. Solving the Frame Problem presents the various (...) approaches to the frame problem that have been proposed over the years. The author presents the material chronologically--as an unfolding story rather than as a body of theory to be learned by rote. There are lessons to be learned even from the dead ends researchers have pursued, for they deepen our understanding of the issues surrounding the frame problem. In the book's concluding chapters, the author offers his own work on event calculus, which he claims comes very close to a complete solution to the frame problem. Artificial Intelligence series. (shrink)

The Australian Royal Commission into Aged Care Quality and Safety acknowledged understaffing and substandard care in residential aged care and home care services, and recommendations were made that that the Australian Government should promote assistive technology within aged care. Robotic care assistants can provide care and companionship for the elderly—both in their own homes and within health and aged care institutions. Although more research is required into their use, studies indicate benefits, including enabling the elderly to live independently at (...) home, assistance with medication and monitoring of safety. Nevertheless, there are inherent ethical challenges in the use of robots as carers, including loss of privacy, unwarranted restrictions on autonomy, lack of dignity, deception, and the exacerbation of loneliness. Ethics by design can counter these issues in development of robotics and clinical ethics committees have been put forward as a way of dealing with the ethical use of robotic care in healthcare institutions. In this paper I outline the ethical challenges of robotic care assistants and how these may be mediated in their design and use. (shrink)

Articulated arm coordinate measuring machine is a specific robotic structural instrument, which uses D-H method for the purpose of kinematic modeling and error compensation. However, it is difficult for the existing error compensation models to describe various factors, which affects the accuracy of AACMM. In this paper, a modeling and error compensation method for AACMM is proposed based on BP Neural Networks. According to the available measurements, the poses of the AACMM are used as the input, and the coordinates (...) of the probe are used as the output of neural network. To avoid tedious training and improve the training efficiency and prediction accuracy, a data acquisition strategy is developed according to the actual measurement behavior in the joint space. A neural network model is proposed and analyzed by using the data generated via Monte-Carlo method in simulations. The structure and parameter settings of neural network are optimized to improve the prediction accuracy and training speed. Experimental studies have been conducted to verify the proposed algorithm with neural network compensation, which shows that 97% error of the AACMM can be eliminated after compensation. These experimental results have revealed the effectiveness of the proposed modeling and compensation method for AACMM. (shrink)

The false attribution of autonomy and related concepts to artificial agents that lack the attributed levels of the respective characteristic is problematic in many ways. In this article, we contrast this view with a positive viewpoint that emphasizes the potential role of such false attributions in the context of robotic language acquisition. By adding emotional displays and congruent body behaviors to a child-like humanoid robot’s behavioral repertoire, we were able to bring naïve human tutors to engage in so called (...) intent interpretations. In developmental psychology, intent interpretations can be hypothesized to play a central role in the acquisition of emotion, volition, and similar autonomy-related words. The aforementioned experiments originally targeted the acquisition of linguistic negation. However, participants produced other affect- and motivation-related words with high frequencies too and, as a consequence, these entered the robot’s active vocabulary. We will analyze participants’ non-negative emotional and volitional speech and contrast it with participants’ speech in a non-affective baseline scenario. Implications of these findings for robotic language acquisition in particular and artificial intelligence and robotics more generally will also be discussed. (shrink)

This paper proposes a new robotic fish which avoids the complex mechanical structure and reduces the model complexity comparing to the existing bioinspired robotic fish, giving rise to a semibiomimetic robotic fish. The generalized Lagrange equation is adopted to establish the dynamic model of the robotic fish. The controllability of the system is analyzed, upon which a trajectory tracking control algorithm is designed by using the feedback linearization technique. The simulation results show that the dynamic model (...) adopted in this paper can achieve better control performance. (shrink)

In this work, a virtual submerged floating operational system based on parallel and serial robotic platforms is proposed. The primary aim behind its development lies in carrying out simulated underwater manipulation experiments in an easier and safer way. This VSFOS is consisted of a six-degree-of-freedom parallel platform, an ABB serial manipulator, an inertial sensor, and a real-time industrial computer. The 6-DOF platform is used to simulate the movement of an underwater vehicle, whose attitude is measured by the inertial sensor. (...) The ABB manipulator, controlled by the real-time industrial computer, works as an operational tool to perform underwater manipulation tasks. In the control system architecture, software is developed to receive the data collected by the inertial sensor, to communicate and send instructions. Furthermore, the real-time status of the manipulator is displayed in this software. To validate the proposed system, two experiments have been conducted to test its performance. In the first experiment, the test is carried out to check the communication function of VSFOS, while in the second one, the manipulator is intended to follow the movement of the parallel platform and perform simulated operational task in the space. The obtained results from these two experiments show clearly the effectiveness and the performance of the proposed VSFOS. (shrink)

Impaired hand proprioception can lead to difficulties in performing fine motor tasks, thereby affecting activities of daily living. The majority of children with unilateral cerebral palsy experience proprioceptive deficits, but accurately quantifying these deficits is challenging due to the lack of sensitive measurement methods. Robot-assisted assessments provide a promising alternative, however, there is a need for solutions that specifically target children and their needs. We propose two novel robotics-based assessments to sensitively evaluate active and passive position sense of the index (...) finger metacarpophalangeal joint in children. We then investigate test-retest reliability and discriminant validity of these assessments in uCP and typically developing children, and further use the robotic platform to gain first insights into fundamentals of hand proprioception. Both robotic assessments were performed in two sessions with 1-h break in between. In the passive position sense assessment, participant's finger is passively moved by the robot to a randomly selected position, and she/he needs to indicate the perceived finger position on a tablet screen located directly above the hand, so that the vision of the hand is blocked. Active position sense is assessed by asking participants to accurately move their finger to a target position shown on the tablet screen, without visual feedback of the finger position. Ten children with uCP and 10 age-matched TDC were recruited in this study. Test-retest reliability in both populations was good >0.79). Proprioceptive error was larger for children with uCP than TDC, indicating discriminant validity. The active position sense was more accurate than passive, and the scores were not correlated, underlining the need for targeted assessments to comprehensively evaluate proprioception. There was a significant effect of age on passive position sense in TDC but not uCP, possibly linked to disturbed development of proprioceptive acuity in uCP. Overall, the proposed robot-assisted assessments are reliable, valid and a promising alternative to commonly used clinical methods, which could help gain a better understanding of proprioceptive impairments in uCP, facilitating the design of novel therapies. (shrink)

BackgroundKinarm Standard Tests is a suite of upper limb tasks to assess sensory, motor, and cognitive functions, which produces granular performance data that reflect spatial and temporal aspects of behavior. We have previously used principal component analysis to reduce the dimensionality of multivariate data using the Kinarm End-Point Lab. Here, we performed PCA using data from the Kinarm Exoskeleton Lab, and determined agreement of PCA results across EP and EXO platforms in healthy participants. We additionally examined whether further dimensionality reduction (...) was possible by using PCA across behavioral tasks.MethodsHealthy participants were assessed using the Kinarm EXO and EP. Four behavioral tasks were performed that quantified arm sensory and motor function, including position sense [Arm Position Matching ] and three motor tasks [Visually Guided Reaching, Object Hit, and Object Hit and Avoid ]. The number of components to include per task was determined from scree plots and parallel analysis, and rotation type was decided on a per-task basis. To assess agreement, we compared principal components across platforms using distance correlation. We additionally considered inter-task interactions in EXO data by performing PCA across all six behavioral assessments.ResultsBy applying PCA on a per task basis to data collected using the EXO, the number of behavioral parameters were substantially reduced by 58–75% while accounting for 76–87% of the variance. These results compared well to the EP analysis, and we found good-to-excellent agreement values between PCs from the EXO and those from the EP. Finally, we were able to reduce the dimensionality of the EXO data across tasks down to 16 components out of a total of 76 behavioral parameters, which represents a reduction of 79% while accounting for 73% of the total variance.ConclusionPCA of Kinarm robotic assessment appears to capture similar relationships between kinematic features in healthy individuals and is agnostic to the robotic platform used for collection. Further work is needed to investigate the use of PCA-based data reduction for the characterization of neurological deficits in clinical populations. (shrink)

Particle Swarm Optimization is an excellent population-based optimization algorithm. Meanwhile, because of its inspiration source and the velocity update feature, it is also widely used in the collaborative searching tasks for swarm robotics. One of the PSO-based models for robotic swarm searching tasks is Robotic PSO. It adds additional items for obstacle avoidance into standard PSO and has been applied to many single-target search tasks. However, due to PSO’s global optimization characteristics, it is easy to converge to a (...) specific position in the search space and lose the ability to explore further. When faced with the problem of multitarget searching, it may become inefficient or even invalid. This paper proposes an Exploration Enhanced Robotic PSO method for multitarget searching problems for robotic swarms. The proposed method modifies the third item in the RPSO as an additional attraction term. This item not only enables the robot to avoid collisions but also guides the swarm to search unexplored regions as much as possible. This operation increases the swarm’s task-specific diversity, making the system cover a broader search area and avoid falling into local optimums. Besides, the aggregation degree and evolution speed factors are also included in determining the inertia weight of the proposed method, which adjusts the swarm’s internal diversity dynamically. The comparison results show that this method can balance the relationship between exploration and exploitation well, which has the potential to be applied to multitarget searching scenarios. (shrink)

This paper suggests an online solution for the optimal tracking control of robotic systems based on a single critic neural network -based reinforcement learning method. To this end, we rewrite the robotic system model as a state-space form, which will facilitate the realization of optimal tracking control synthesis. To maintain the tracking response, a steady-state control is designed, and then an adaptive optimal tracking control is used to ensure that the tracking error can achieve convergence in an optimal (...) sense. To solve the obtained optimal control via the framework of adaptive dynamic programming, the command trajectory to be tracked and the modified tracking Hamilton-Jacobi-Bellman are all formulated. An online RL algorithm is the developed to address the HJB equation using a critic NN with online learning algorithm. Simulation results are given to verify the effectiveness of the proposed method. (shrink)

The lure of animal instinct appears to be an important consideration for the development of intelligent (or simulated intelligent) robotic creatures. Studying the behaviours and playful engagements of animals (like humans) provides robotic artists with a plethora of engagements from which to draw and mimic in their development of whimsical-behaving robot bodies. Animals, as the human other, present us with a counterpoint from which we can study robots as lively entities.

(2014). Killing without Heart: Limits on Robotic Warfare in an Age of Persistent Conflict. Journal of Military Ethics: Vol. 13, No. 1, pp. 106-111. doi: 10.1080/15027570.2014.910017.

A decentralized adaptive control based on human linguistic is investigated to learn human behaviors for multiple robotic manipulators. Many experts’ words or sentences can be transferred into the control actions by employing membership functions in robot systems, which can be synthesized fuzzy controller by employing reasoning mechanism. For the unknown model dynamical robot manipulators, one adjustable parameter that relates to the approximation accuracy of fuzzy logic systems is introduced at first, which be utilized to deal with the unknown dynamics (...) of robot manipulators. Switching fuzzy adaptive controller is designed to overcome the limitation of logic structure that the number of adaptive laws only focus on fuzzy rules in conventional fuzzy logic systems. Another advantage of this design method is that the control with human linguistic extend the semi-global stability to global stability. Finally, effectiveness of the developed control design scheme has been shown in simulation example. (shrink)

Merker's insightful broad review fertilely recasts the mind/brain issue, but the phenomenological appeals require additional considerations of behavioral and neural flexibility. Motor equivalences and perceptual constancies may be cortical contributions to a “robotic” tectal orientation mechanism. Intermediate “third layers” of associative neural networks, each with a few diffusely summing convergence-divergence modules, may be the economical expedient by which evolution has extended the limited unity-in-diversity of sensorimotor coordination to perception, action, thinking, and memory. (Published Online May 1 2007).

In this paper, we focus on spatial formations when interacting via mobile robotic telepresence systems. Previous research has found that those who used a MRP system to make a remote visit tended to use different spatial formations from what is typical in human-human interaction. In this paper, we present the results of a study where a pilot user interacted with ten elderly via a MRP system. Intentional deviations from known accepted spatial formations were made in order to study their (...) effect on interaction quality from the local user perspective. Using a retrospective interviews technique, the elderly commented on the interaction and confirmed the importance of adhering to acceptable spatial configurations. The results show that there is a mismatch between pilot user behaviour and local user preference and that it is important to evaluate a MRP system from two perspectives, the pilot user’s and the local user’s. Keywords: F-formations; Mobile Robotic Telepresence; MRP systems; Quality of Interaction; Retrospective Interview; Spatial Formations; Spatial Configurations. (shrink)

We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects (n = 93). Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for (...) Fear. The results seem to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to createculture-neutral modelsof robots and affective interaction. (shrink)

Can artifacts be agents in the same sense as humans? This paper endorses a pragmatic stance to that issue. The crucial question is whether artifacts can have free will in the same pragmatic sense as we consider humans to have a free will when holding them responsible for their actions. The origin of actions is important. Can an action originate inside an artifact, considering that it is, at least today, programmed by a human? In this paper it is argued that (...) autonomy with respect to norms is crucial for artificial agency. (shrink)

Here we provide an overview of some of the central ethical issues related to the use of surgical robots. Subsequently we introduce an anticipatory ethical analysis of possible consequences for the use of robotic surgery. Anticipatory ethics aims at identifying ethical problems with emerging technologies while they are at the introductory stages for a wide range of stakeholders. Robotic surgery presents a range of positive possibilities, which include treating patients more safely and effectively to caring for patients with (...) telesurgery at remote locations. However, injuries and deaths caused by robotic surgical platforms (RSPs) pose roadblocks to full realization of this technology. Investment in RSPs by for-profits like hospitals requires a detailed stakeholder analysis that takes into account both institutional and patient perspectives. It will take carefully crafted policy and regulation based upon sound technical and ethical analysis to induce the widespread adoption of this surgical method. (shrink)

Robotics has been increasingly adopted by religious communities around the world. In late 2015, a prototype of the “robot-monk” Xian’er was inaugurated at the Longquan Monastery in Beijing, with a second-generation model added in 2016 and a third robot released in 2018. Since then, Xian’er has been reciting Buddhist mantras and offering guidance on matters of faith to the thousands of worshippers visiting the temple every year or connecting with it online. In 2017, a robotic arm performing the Hindu (...) Aarti ritual, which involves moving a light in front of a deity following a circular pattern, also appeared. The same year, on the occasion of the 500th anniversary of the Reformation, Germany’s Protestant Church introduced a “robot-priest” called BlessU-2, able to give blessings in several languages, with a male or female voice. In 2018, roboticist Gabriele Trovato designed SanTO (acronym of “Sanctified Theomorphic Operator”), a small robot drawing inspiration from the statues of saints, in the aim to offer spiritual succour to Catholic believers, keep them company during prayer, and teach catechism. Such innovations are markedly changing the way people experience faith and religious practices, through a process of _dis_- and _re_-embodiment of “officiating agents”, which entails relevant transformations in terms of meaning-making processes, as well as related to the way devotees engage in ethical reasoning and decision-making, and to the normative protocols needed to regulate them. This paper addresses these crucial issues through a semiocultural approach, combining theoretical reflection with the analysis of the above-mentioned case studies. (shrink)

We report two experimental studies of human perceptions of robotic facial expressions while systematically varying context effects and the cultural background of subjects (n = 93). Except for Fear, East Asian and Western subjects were not significantly different in recognition rates, and, while Westerners were better at judging affect from mouth movement alone, East Asians were not any better at judging affect based on eye/brow movement alone. Moreover, context effects appeared capable of over-riding such cultural differences, most notably for (...) Fear. The results seem to run counter to previous theories of cultural differences in facial expression based on emoticons and eye fixation patterns. We connect this to broader research in cognitive science – suggesting the findings support a dynamical systems view of social cognition as an emergent phenomenon. The results here suggest that, if we can induce appropriate context effects, it may be possible to createculture-neutral modelsof robots and affective interaction. (shrink)

This paper is aimed to understand the state of the art and the resulting consequences of the legal framework in Europe, with regard to the protection of children's data. Especially when they interact with networked and robotic toys, like in 'My friend Cayla' case. In order to evaluate the practical implications of the use of IoT devices by children or teenager users, the first part of the paper presents an analysis of the international guiding principles of the protection of (...) minors, a category which enjoys a higher level of protection of their fundamental rights, due to their condition of lack of physical and psychological maturity. Secondly, the focus is moved upon the protection of personal data of children. Only after confronting previous data protection legal instruments and having compared them with the novelties set forth in General Data Protection Regulation, it is reasonable to assume that new provisions such as "privacy by design" principle, adequacy of security measures and codes of conduct, can support data controllers in ensuring compliance in the field of IoT toys. In conclusion, the paper supports a view of Data Protection Authorities as a relevant player in enhancing these renovated tools in order to achieve the protection of children's rights, as to ensure their substantial protection against the threats of the interconnected world. (shrink)

In this paper, the fixed-time practical bipartite tracking problem for the networked robotic systems with parametric uncertainties, input disturbances, and directed signed graphs is investigated. A new fixed-time estimator-based control algorithm for the NRSs is presented to address the abovementioned problem. By applying a sliding surface and the time base generator approach, a new stability analysis method is proposed to achieve the fixed-time practical bipartite tracking for the NRSs. We also derive the upper bound of the convergence time for (...) employing the presented control algorithm to solve the practical bipartite tracking problem and further demonstrate that the convergence time is independent of the initial value. Finally, the simulation examples are given to verify the effectiveness of the presented algorithms. (shrink)

This paper presents an adaptive neural tracking control approach for a two-joint robotic manipulator with unknown time-varying delays. In order to work out the effect of unknown time-varying delays on the two-joint robotic manipulator, the appropriate Lyapunov–Krasovskii functionals and separation technology are chosen to settle this matter. The neural networks work as an approximator that has the advantage of estimating the unknown function in the system. In this paper, Lyapunov stability analysis can prove that all signals of the (...) closed-loop system are semiglobal uniformly ultimately bounded and the tracking error can converge to a compact neighborhood with respect to zero. The simulation consequences demonstrate the availability of the feedforward control approach. (shrink)

With robots being introduced into caregiving, particularly for older persons, various ethical concerns are raised. Among them is the fear of replacing human caregiving. While ethical concepts like well-being, autonomy, and capabilities are often used to discuss these concerns, this paper brings forth the concept of social dignity to further develop guidelines concerning the use of robots in caregiving. By social dignity, we mean that a person’s perceived dignity changes in response to certain interactions and experiences with other persons. In (...) this paper, we will first present the concept of social dignity, and then identify a niche where robots can be used in caregiving in an ethical manner. Specifically, we will argue that, because some activities of daily living are performed in solitude to maintain dignity, a care recipient will usually prefer robotic assistance instead of human assistance for these activities. Secondly, we will describe how other philosophical concepts, which have been commonly used to judge robotic assistance in caregiving for the elderly so far, such as well-being, autonomy, and capabilities, are less useful in determining whether robotic assistance in caregiving is ethically problematic or not. To conclude, we will argue that social dignity offers an advantage to the other concepts, as it allows to ask the most pressing questions in caregiving. (shrink)

This paper makes the case for arms control regimes to govern the development and deployment of autonomous weapon systems and long range uninhabited aerial vehicles.

Young children often treat robots as social agents after they have witnessed interactions that can be interpreted as social. We studied in three experiments whether four-year-olds from three cultures and adults from two cultures will attribute ownership of objects to a robot that engages in social gaze with a human. Participants watched videos of robot-human interactions, in which objects were possessed or new objects were created. Children and adults applied the same ownership rules to humans and robots – irrespective of (...) whether the robot engaged in social gaze or not. However, there was cultural variation in the types of ownership rules used. In Experiment 3, we removed further social cues, finding that just showing a pair of self-propelled robot-arms elicited ownership attributions. The role of social gaze in social attributions to robots and cross-cultural differences in ownership understanding are discussed. (shrink)

In this article I explore some consequences of the relations between technique, capitalism and radical liberation ideologies. My thesis is that the latter are going to rise to the extent that wage labor will become a scarce commodity. Through total automation, however, what may occur will not be the end of the reign of scarcity, but a new oppressive order.

This paper presents a novel methodological approach of how to design, conduct and analyse robot-assisted play. This approach is inspired by nondirective play therapy. The experimenter participates in the experiments, but the child remains the main leader for play. Besides, beyond inspiration from non-directive play therapy, this approach enables the experimenter to regulate the interaction under specific conditions in order to guide the child or ask her questions about reasoning or affect related to the robot. This approach has been tested (...) in a long-term study with six children with autism in a school setting. An autonomous robot with zoomorphic, dog-like appearance was used in the studies. The children’s progress was analyzed according to three dimensions, namely, Play, Reasoning and Affect. Results from the case-study evaluations have shown the capability of the method to meet each child’s needs and abilities. Children who mainly played solitarily progressively experienced basic imitation games with the experimenter. Children who proactively played socially progressively experienced higher levels of play and constructed more reasoning related to the robot. They also expressed some interest in the robot, including, on occasion, affect. Keywords: Human–Robot Interaction, Robot-Mediated Therapy, Robot-Assisted Play, Non-Directive Play Therapy, Assistive Technology, Autism, Children. (shrink)

Recent research points to the fact that new medical technological innovations are just as relevant in the context of long‐term care or chronic care as they are in the context of acute care. In the spirit of the Nuffield Foundation recommendations, this paper explores the possibilities of using robotic aides in long‐term care and identifies the tensions that must be considered and addressed if robotics is to be introduced successfully in nursing homes. Our examination is two‐pronged. First, we delve (...) into a fundamental issue surrounding AI, namely that of consciousness. We argue that automation will always have only a limited use in caregiving since caregiving as an activity requires the use of human‐type, that is, organic, consciousness. We support the thesis that the emergence and formation of human‐type consciousness require feelings such as empathy and the sense of touch, which, in turn, create the sense of kinship with fellow human beings. And second, we examine the benefits as well as risks of using robotic aides such as ZORA and PARO in long‐term care facilities. More specifically, we look at ZORA's use in a group setting, and PARO's use in an individual setting. We emphasize that long‐term care is one‐on‐one care, including but not limited to intimate care. Crucially, we argue that touch is at the heart of this type of care. We argue that some of the tensions with the use of robotic aides are generated precisely because of the lack of human touch. (shrink)

This paper addresses ethical challenges posed by a robot acting as both a general type of system and a discrete, particular machine. Using the philosophical distinction between “type” and “token,” we locate type-token ambiguity within a larger field of indefinite robotic identity, which can include networked systems or multiple bodies under a single control system. The paper explores three specific areas where the type-token tension might affect human–robot interaction, including how a robot demonstrates the highly personalized recounting of information, (...) how a robot makes moral appeals and justifies its decisions, and how the possible need for replacement of a particular robot shapes its ongoing role. We also consider how a robot might regard itself as a replaceable token of a general robotic type and take extraordinary actions on that basis. For human–robot interaction robotic type-token identity is not an ontological problem that has a single solution, but a range of possible interactions that responsible design must take into account, given how people stand to gain and lose from the shifting identities social robots will present. (shrink)

This argument map represents the argumentation of Sparrow, R. . "Just say No" to Drones. IEEE Technology and Society Magazine, M 1932-4529/12, 56-63. doi: 10.1109/MTS.2012.2185275. The argument map is open for debate in AGORA-net, search for map ID 9712.