The uncanny valley—the unnerving nature of humanlike robots—is an intriguing idea, but both its existence and its underlying cause are debated. We propose that humanlike robots are not only unnerving, but are so because their appearance prompts attributions of mind. In particular, we suggest that machines become unnerving when people ascribe to them experience, rather than agency. Experiment 1 examined whether a machine’s humanlike appearance prompts both ascriptions of experience and feelings of unease. Experiment 2 tested whether a machine capable (...) of experience remains unnerving, even without a humanlike appearance. Experiment 3 investigated whether the perceived lack of experience can also help explain the creepiness of unfeeling humans and philosophical zombies. These experiments demonstrate that feelings of uncanniness are tied to perceptions of experience, and also suggest that experience—but not agency—is seen as fundamental to humans, and fundamentally lacking in machines. (shrink)

Social robotics entertains a particular relationship with anthropomorphism, which it neither sees as a cognitive error, nor as a sign of immaturity. Rather it considers that this common human tendency, which is hypothesized to have evolved because it favored cooperation among early humans, can be used today to facilitate social interactions between humans and a new type of cooperative and interactive agents - social robots. This approach leads social robotics to focus research on the engineering of robots that activate anthropomorphic (...) projections in users. The objective is to give robots "social presence" and "social behaviors" that are sufficiently credible for human users to engage in comfortable and potentially long-lasting relations with these machines. This choice of ’applied anthropomorphism’ as a research methodology exposes the artifacts produced by social robotics to ethical condemnation: social robots are judged to be a "cheating" technology, as they generate in users the illusion of reciprocal social and affective relations. This article takes position in this debate, not only developing a series of arguments relevant to philosophy of mind, cognitive sciences, and robotic AI, but also asking what social robotics can teach us about anthropomorphism. On this basis, we propose a theoretical perspective that characterizes anthropomorphism as a basic mechanism of interaction, and rebuts the ethical reflections that a priori condemns "anthropomorphism-based" social robots. To address the relevant ethical issues, we promote a critical experimentally based ethical approach to social robotics, "synthetic ethics," which aims at allowing humans to use social robots for two main goals: self-knowledge and moral growth. (shrink)

Artificial Neural Networks have reached “grandmaster” and even “super-human” performance across a variety of games, from those involving perfect information, such as Go, to those involving imperfect information, such as “Starcraft”. Such technological developments from artificial intelligence (AI) labs have ushered concomitant applications across the world of business, where an “AI” brand-tag is quickly becoming ubiquitous. A corollary of such widespread commercial deployment is that when AI gets things wrong—an autonomous vehicle crashes, a chatbot exhibits “racist” behavior, automated credit-scoring processes (...) “discriminate” on gender, etc.—there are often significant financial, legal, and brand consequences, and the incident becomes major news. As Judea Pearl sees it, the underlying reason for such mistakes is that “... all the impressive achievements of deep learning amount to just curve fitting.” The key, as Pearl suggests, is to replace “reasoning by association” with “causal reasoning” —the ability to infer causes from observed phenomena. It is a point that was echoed by Gary Marcus and Ernest Davis in a recent piece for theNew York Times: “we need to stop building computer systems that merely get better and better at detecting statistical patterns in data sets—often using an approach known as ‘Deep Learning’—and start building computer systems that from the moment of their assembly innately grasp three basic concepts: time, space, and causality.” In this paper, foregrounding what in 1949 Gilbert Ryle termed “a category mistake”, I will offer an alternative explanation for AI errors; it is not so much that AI machinery cannot “grasp” causality, but that AI machinery (qua computation) cannot understand anything at all. (shrink)

Japan has more robots than any other country with robots contributing to many areas of society, including manufacturing, healthcare, and entertainment. However, few studies have examined Japanese attitudes toward robots, and none has used implicit measures. This study compares attitudes among the faculty of a US and a Japanese university. Although the Japanese faculty reported many more experiences with robots, implicit measures indicated both faculties had more pleasant associations with humans. In addition, although the US faculty reported people were more (...) threatening than robots, implicit measures indicated both faculties associated weapons more strongly with robots than with humans. Despite the media’s hype about Japan’s robot ‘craze,’ response similarities suggest factors other than attitude better explain robot adoption. These include differences in history and religion, personal and human identity, economic structure, professional specialization, and government policy. Japanese robotics offers a unique reference from which other nations may learn. (shrink)

It can be creepy to notice that something human-looking is not real. But can sensitivity to this phenomenon, known as the uncanny valley, be predicted from superficially unrelated traits? Based on results from at least 489 participants, this study examines the relation between nine theoretically motivated trait indices and uncanny valley sensitivity, operationalized as increased eerie ratings and decreased warmth ratings for androids presented in videos. Animal Reminder Sensitivity, Neuroticism, its Anxiety facet, and Religious Fundamentalism significantly predicted uncanny valley sensitivity. (...) In addition, Concern over Mistakes and Personal Distress significantly predicted android eerie ratings but not warmth. The structural equation model indicated that Religious Fundamentalism operates indirectly, through robot-related attitudes, to heighten uncanny valley sensitivity, while Animal Reminder Sensitivity increases eerie ratings directly. These results suggest that the uncanny valley phenomenon may operate through both sociocultural constructions and biological adaptations for threat avoidance, such as the fear and disgust systems. Trait indices that predict uncanny valley sensitivity warrant investigation by experimental methods to explicate the processes underlying the uncanny valley phenomenon. (shrink)

The chapter introduces the edited collection Robot Sex: Social and Ethical Implications. It proposes a definition of the term 'sex robot' and examines some current prototype models. It also considers the three main ethical questions one can ask about sex robots: (i) do they benefit/harm the user? (ii) do they benefit/harm society? or (iii) do they benefit/harm the robot?

The term “uncanny valley” goes back to an article of the Japanese roboticist Masahiro Mori. He put forward the hypothesis that humanlike objects like certain kinds of robots elicit emotional responses similar to real humans proportionate to their degree of human likeness. Yet, if a certain degree of similarity is reached emotional responses become all of a sudden very repulsive. The corresponding recess in the supposed function is called the uncanny valley. The present paper wants to propose a philosophical explanation (...) why we feel empathy with inanimate objects in the first place, and why the uncanny valley occurs when these objects become very humanlike. The core of this explanation—which is informed by the recently developing empirical research on the matter—will be a form of empathy involving a kind of imaginative perception. However, as will be shown, imaginative perception fails in cases of very humanlike objects. (shrink)

Stimuli that resemble humans, but are not perfectly human-like, are disliked compared to distinctly human and nonhuman stimuli. Accounts of this “Uncanny Valley” effect often focus on how changes in human resemblance can evoke different emotional responses. We present an alternate account based on the novel hypothesis that the Uncanny Valley is not directly related to ‘human-likeness’ per se, but instead reflects a more general form of stimulus devaluation that occurs when inhibition is triggered to resolve conflict between competing stimulus-related (...) representations. We consider existing support for this inhibitory-devaluation hypothesis and further assess its feasibility through tests of two corresponding predictions that arise from the link between conflict-resolving inhibition and aversive response: 1) that the pronounced disliking of Uncanny-type stimuli will occur for any image that strongly activates multiple competing stimulus representations, even in the absence of any human-likeness, and 2) that the negative peak of an ‘Uncanny Valley’ should occur at the point of greatest stimulus-related conflict and not (in the presence of human-likeness) always closer to the ‘human’ end of a perceptual continuum. We measured affective responses to a set of line drawings representing nonhuman animal-animal morphs, in which each continuum midpoint was a bistable image (Exp. 1), as well as to sets of human-robot and human-animal computer-generated morphs (Exp. 2). Affective trends depicting classic Uncanny Valley functions occurred for all continua, including the nonhuman stimuli. Images at continua midpoints elicited significantly more negative affect than images at endpoints, even when the continua included a human endpoint. This illustrates the feasibility of the inhibitory-devaluation hypothesis and the need for further research into the possibility that the strong dislike of Uncanny-type stimuli reflects the negative affective consequences of cognitive inhibition. (shrink)

This paper extends Mori’s (IEEE Robot Autom Mag 19:98–100, 2012) uncanny valley-hypothesis to include technologies that fail its basic criterion that uncanniness arises when the subject experiences a discrepancy in a machine’s human likeness. In so doing, the paper considers Mori’s hypothesis about the uncanny valley as an instance of what Heidegger calls the ‘challenging revealing’ nature of modern technology. It introduces seeming autonomy and heteronomy as phenomenological categories that ground human being-in-the-world including our experience of things and people. It (...) is suggested that this categorical distinction is more foundational than Heidegger’s existential structures and phenomenological categories. Having introduced this novel phenomenological distinction, the paper considers the limits of Mori’s hypothesis by drawing on an example from science fiction that showcases that uncanniness need not only be caused by machines that resemble human beings. In so doing, it explores how the seeming autonomy-heteronomy distinction clarifies (at least some of) the uncanniness that can arise when humans encounter advanced technology which is irreducible to the anthropocentrism that shapes Mori’s original hypothesis. (shrink)

Perceiving others? minds is a crucial component of social life. People do not, however, always ascribe minds to other people, and sometimes ascribe minds to non-people. This article reviews when mind perception occurs, when it does not, and why mind perception is important. Causes of mind perception stem both from the perceiver and perceived, and include the need for social connection and a similarity to oneself. Mind perception also has profound consequences for both the perceiver and perceived. Ascribing mind confers (...) an entity moral rights and also makes its actions meaningful. Understanding the causes and consequences of mind perception can explain when this most social of cognitive skills will be used, and why it matters. (shrink)

New forms of artificial intelligence on the one hand and the ubiquitous networking of “everything with everything” on the other hand characterize the fourth industrial revolution. This results in a changed understanding of human–machine interaction, in new models for production, in which man and machine together with virtual agents form hybrid teams. The empirical study “Socializing with robots” aims to gain insight especially into conditions of development and processes of hybrid human–machine teams. In the experiment, human–robot actions and interactions were (...) closely observed in a virtual environment. Robots as partners differed in shape and behavior. Participants were instructed to achieve an objective that could only be achieved via close teamwork. This paper unites different aspects from core disciplines of social robotics and psychology contributing to anthropomorphization with the empirical insights of the experiment. It focuses on the psychological effects on anthropomorphization and mechanization, taking the inter- and transdisciplinary field of social robotics as a starting point. (shrink)

This study examined individual differences in sensitivity to human-like features of a robot’s behavior. The paradigm comprised a non-verbal Turing test with a humanoid robot. A “programmed” condition differed from a “human-controlled” condition by onset times of the robot’s eye movements, which were either fixed across trials or modeled after prerecorded human reaction times, respectively. Participants judged whether the robot behavior was programmed or human-controlled, with no information regarding the differences between respective conditions. Autistic traits were measured with the autism-spectrum (...) quotient questionnaire in healthy adults. We found that the fewer autistic traits participants had, the more sensitive they were to the difference between the conditions, without explicit awareness of the nature of the difference. We conclude that although sensitivity to fine behavioral characteristics of others varies with social aptitude, humans are in general capable of detecting human-like behavior based on very subtle cues. (shrink)

Is sex work (specifically, prostitution) vulnerable to technological unemployment? Several authors have argued that it is. They claim that the advent of sophisticated sexual robots will lead to the displacement of human prostitutes, just as, say, the advent of sophisticated manufacturing robots have displaced many traditional forms of factory labour. But are they right? In this article, I critically assess the argument that has been made in favour of this displacement hypothesis. Although I grant the argument a degree of credibility, (...) I argue that the opposing hypothesis -- that prostitution will be resilient to technological unemployment -- is also worth considering. Indeed, I argue that increasing levels of technological unemployment in other fields may well drive more people into the sex work industry. Furthermore, I argue that no matter which hypothesis you prefer -- displacement or resilience -- you can make a good argument for the necessity of a basic income guarantee, either as an obvious way to correct for the precarity of sex work, or as a way to disincentivise those who may be drawn to prostitution. (shrink)

The brain–computer interface (BCI) has made remarkable progress in the bridging the divide between the brain and the external environment to assist persons with severe disabilities caused by brain impairments. There is also continuing philosophical interest in BCIs which emerges from thoughtful reflection on computers, machines, and artificial intelligence. This article seeks to apply BCI perspectives to examine, challenge, and work towards a possible resolution to a persistent problem in the mind–body relationship, namely dualism. The original humanitarian goals of BCIs (...) and the technological inventiveness result in BCIs being surprisingly useful. We begin from the neurologically impaired person, the problems encountered, and some pioneering responses from computers and machines. Secondly, the interface of mind and brain is explored via two points of clarification: direct and indirect BCIs, and the nature of thoughts. Thirdly, dualism is beset by mind–body interaction difficulties and is further questioned by the phenomena of intentions, interactions, and technology. Fourthly, animal minds and robots are explored in BCI settings again with relevance for dualism. After a brief look at other BCIs, we conclude by outlining a future BCI philosophy of brain and mind, which might appear ominous and could be possible. (shrink)

In so-called ethorobotics and robot-supported social cognitive neurosciences, robots are used as scientific tools to study animal behavior and cognition. Building on previous epistemological analyses of biorobotics, in this article it is argued that these two research fields, widely differing from one another in the kinds of robots involved and in the research questions addressed, share a common methodology, which significantly differs from the “synthetic method” that, until recently, dominated biorobotics. The methodological novelty of this strategy, the research opportunities that (...) it opens, and the theoretical and technological challenges that it gives rise to, will be discussed with reference to the peculiarities of the two research fields. Some broad methodological issues related to the generalization of results concerning robot-animal interaction to theoretical conclusions on animal-animal interaction will be identified and discussed. (shrink)

Social robotics is a rapidly developing industry-oriented area of research, intent on making robots in social roles commonplace in the near future. This has led to rising interest in the dynamics as well as ethics of human-robot relationships, described here as a nascent relational turn. A contrast is drawn with the 1990s’ paradigm shift associated with relational-self themes in social psychology. Constructions of the human-robot relationship reproduce the “I-You-Me” dominant model of theorising about the self with biases that (as in (...) social constructionism) consistently accentuate externalist or “interactionist” standpoints as opposed to internalist or “individualistic”. Perspectives classifiable as “ecological relationalism” may compensate for limitations of interactionist-individualistic dimension. Implications for theorising subjectivity are considered. (shrink)

We use speech shadowing to create situations wherein people converse in person with a human whose words are determined by a conversational agent computer program. Speech shadowing involves a person (the shadower) repeating vocal stimuli originating from a separate communication source in real-time. Humans shadowing for conversational agent sources (e.g., chat bots) become hybrid agents ("echoborgs") capable of face-to-face interlocution. We report three studies that investigated people’s experiences interacting with echoborgs and the extent to which echoborgs pass as autonomous humans. (...) First, participants in a Turing Test spoke with a chat bot via either a text interface or an echoborg. Human shadowing did not improve the chat bot’s chance of passing but did increase interrogators’ ratings of how human-like the chat bot seemed. In our second study, participants had to decide whether their interlocutor produced words generated by a chat bot or simply pretended to be one. Compared to those who engaged a text interface, participants who engaged an echoborg were more likely to perceive their interlocutor as pretending to be a chat bot. In our third study, participants were naïve to the fact that their interlocutor produced words generated by a chat bot. Unlike those who engaged a text interface, the vast majority of participants who engaged an echoborg neither sensed nor suspected a robotic interaction. These findings have implications for android science, the Turing Test paradigm, and human-computer interaction. The human body, as the delivery mechanism of communication, fundamentally alters the social psychological dynamics of interactions with machine intelligence. (shrink)

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)

Service-Robotic—mainly defined as “non-industrial robotics”—is identified as the next economical success story to be expected after robots have been ubiquitously implemented into industrial production lines. Under the heading of service-robotic, we found a widespread area of applications reaching from robotics in agriculture and in the public transportation system to service robots applied in private homes. We propose for our interdisciplinary perspective of technology assessment to take the human user/worker as common focus. In some cases, the user/worker is the effective subject (...) acting by means of and in cooperation with a service robot; in other cases, the user/worker might become a pure object of the respective robotic system, for example, as a patient in a hospital. In this paper, we present a comprehensive interdisciplinary framework, which allows us to scrutinize some of the most relevant applications of service robotics; we propose to combine technical, economical, legal, philosophical/ethical, and psychological perspectives in order to design a thorough and comprehensive expert-based technology assessment. This allows us to understand the potentials as well as the limits and even the threats connected with the ongoing and the planned implementation of service robots into human lifeworld—particularly of those technical systems displaying increasing grades of autonomy. (shrink)

Hybride der Romantik: Frankenstein, Olimpia und das künstliche Leben. Dieser Beitrag untersucht Vorstellungen über die Möglichkeit der Erzeugung künstlicher Lebewesen in der Zeit der Romantik und die damit verbundenen Ängste am Beispiel zweier fiktionaler Texte: Mary Shelleys Frankenstein und Ernst Theodor Amadeus Hoffmanns Sandmann. Dr. Franksteins Monster und Dr. Spalanzanis Automat verkörpern – auf unterschiedliche Weise – die Möglichkeit einer Wendung wissenschaftlicher Produkte und insbesondere künstlicher Hybride ins Monströse. Ihre Geschichten thematisieren das Grauen, das vom drohenden Kontrollverlust ausgeht und als (...) der modernen Wissenschaft innewohnende Gefahr selbst nach der Zerstörung der monströsen Kreaturen bestehen bleibt. Der Begriff des Unheimlichen, von Ernst Jentsch und Sigmund Freud mit Bezug auf Hoffmanns Sandmann formuliert und 1970 von dem japanischen Robotiker Masahiro Mori als Phänomen „des unheimlichen Tals“ (Uncanny Valley) weiterentwickelt, erlaubt weitere Einblicke in die Frage nach künstlichen Lebewesen und ihre Interaktion mit Menschen. Summary: Hybrids of the Romantic: Frankenstein, Olimpia, and Artificial Life. This essay analyzes fantasies and fears related to the possible creation of artificial humans in two influential pieces of Romantic literature, namely E.T.A. Hoffmann's Der Sandmann and Mary Shelley's Frankenstein. Both the automaton Olimpia and Dr. Frankenstein's monster are hybrid creatures. These dystopian figures represent the Romantic fear of the loss of control over the outcome of human endeavour, they symbolize the dangers immanent in modern science and technology. As hybrids, Olimpia and Frankenstein's monster are capable of breaking apparently unpenetrable boundaries, such as those between human and non‐human, and between life and death. As such, these creatures become “unheimlich” (uncanny), a critical term developed by Ernst Jentsch and Sigmund Freud, who directly referred to Hoffmann's Sandman. The term “uncanny” was further developed by the Japanese roboticist Masahiro Mori in the 1970s. Mori's investigation of human responses to androids (“Uncanny Valley”), shows the persistence of doubts and fears surrounding artificial humans far beyond the Romantic times, and opens new questions related to the issues of creation, reproduction, hybrids, hubris and gender. (shrink)

This study examined individual differences in sensitivity to human-like features of a robot’s behavior. The paradigm comprised a non-verbal Turing test with a humanoid robot. A “programmed” condition differed from a “human-controlled” condition by onset times of the robot’s eye movements, which were either fixed across trials or modeled after prerecorded human reaction times, respectively. Participants judged whether the robot behavior was programmed or human-controlled, with no information regarding the differences between respective conditions. Autistic traits were measured with the autism-spectrum (...) quotient questionnaire in healthy adults. We found that the fewer autistic traits participants had, the more sensitive they were to the difference between the conditions, without explicit awareness of the nature of the difference. We conclude that although sensitivity to fine behavioral characteristics of others varies with social aptitude, humans are in general capable of detecting human-like behavior based on very subtle cues. (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)

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)

On reviewing the literature regarding acceptance and trust in human-robot interaction (HRI), there are a number of open questions that needed to be addressed in order to establish effective collaborations between humans and robots in real-world applications. In particular, we identified four principal open areas that should be investigated to create guidelines for the successful deployment of robots in the wild. These areas are focused on: (1) the robot’s abilities and limitations; in particular when it makes errors with different severity (...) of consequences, (2) individual differences, (3) the dynamics of human-robot trust, and (4) the interaction between humans and robots over time. In this paper, we present two very similar studies, one with a virtual robot with human-like abilities, and one with a Care-O-bot 4 robot. In the first study, we create an immersive narrative using an interactive storyboard to collect responses of 154 participants. In the second study, 6 participants had repeated interactions over three weeks with a physical robot. We summarise and discuss the findings of our investigations of the effects of robots’ errors on people’s trust in robots for designing mechanisms that allow robots to recover from a breach of trust. In particular, we observed that robots’ errors had greater impact on people’s trust in the robot when the errors were made at the beginning of the interaction and had severe consequences. Our results also provided insights on how these errors vary according to the individuals’ personalities, expectations and previous experiences. (shrink)

Using anthropological theory, this paper examines human–android interactions (HAI) as an emerging aspect of android science. These interactions are described in terms of adaptive learning (which is largely subconscious). This article is based on the observations reported and supplementary data from two studies that took place in Japan with a teleoperated android robot called Telenoid in the socialization of school children and older adults. We argue that interacting with androids brings about a special context, an interval, and a space/time for (...) reflection and imagination that was not there before. During the interaction something happens. There is adaptive learning and as a result, both children and older adults accepted Telenoid, and the children and older adults accepted each other. Using frames of play and ritual, we make sense and ‘capture’ moments of adaptive learning, and the feedback that elicits a social response from all study participants that results in self-efficacy and socialization. While “ritual” refers to the application of what has been learned and “play” means that there are no obvious consequences of what has been learned. This analysis illuminates new understanding about the uncanny valley, cultural robotics and the therapeutic potential of HAI. This has implications for the acceptance of androids in ‘socialized roles’ and gives us insight into the subconscious adaptive learning processes that must take place within humans to accept androids into our society. This approach aims to provides a clearer conceptual basis and vocabulary for further research of android and humanoid development. (shrink)

Temporal dynamics have been increasingly recognized as an important component of facial expressions. With the need for appropriate stimuli in research and application, a range of databases of dynamic facial stimuli has been developed. The present article reviews the existing corpora and describes the key dimensions and properties of the available sets. This includes a discussion of conceptual features in terms of thematic issues in dataset construction as well as practical features which are of applied interest to stimulus usage. To (...) identify the most influential sets, we further examine their citation rates and usage frequencies in existing studies. General limitations and implications for emotion research are noted and future directions for stimulus generation are outlined. (shrink)

‘Smart’ devices are becoming increasingly ubiquitous. While these sophisticated machines are useful for various purposes, they sometimes evoke feelings of eeriness or discomfort that constitute uncanniness, a much-discussed phenomenon in robotics research. Adult participants (N = 115) rated the uncanniness of a hypothetical future smart speaker that was described as possessing the mental capacities for experience, agency, neither, or both. The novel condition prompting participants to attribute both agency and experience to the speaker filled an important theoretical gap in the (...) literature. Consistent with the mind perception hypothesis of uncanniness (MPH; Gray & Wegner, 2012), participants in the with-experience condition rated the device significantly higher in uncanniness than those in the control condition and the with-agency condition. Participants in the with-both (experience and agency) condition also rated the device higher in uncanniness than those in the control condition and the with-agency condition, although this latter difference only approached statistical significance. (shrink)

As Raymond Williams famously declared, nature is one of the most complex words in the English language – and, we may confidently predict, its Germanic relatives including Dutch. The workshop that took place in June 2007 in the Netherlands, from which this volume is derived, was based on an earlier program exploring connections between our concepts of nature and related concepts of science and religion. Though one may not immediately expect these three realms to be interrelated, countless examples suggest otherwise.