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Introduction: Robots are being introduced into increasingly social environments. As these robots become more ingrained in social spaces, they will have to abide by the social norms that guide human interactions. At times, however, robots will violate norms and perhaps even deceive their human interaction partners. This study provides some of the first evidence for how people perceive and evaluate robot deception, especially three types of deception behaviors theorized in the technology ethics literature: External state deception (cues that intentionally misrepresent or omit details from the external world: e.g., lying), Hidden state deception (cues designed to conceal or obscure the presence of a capacity or internal state the robot possesses), and Superficial state deception (cues that suggest a robot has some capacity or internal state that it lacks). Methods: Participants (N = 498) were assigned to read one of three vignettes, each corresponding to one of the deceptive behavior types. Participants provided responses to qualitative and quantitative measures, which examined to what degree people approved of the behaviors, perceived them to be deceptive, found them to be justified, and believed that other agents were involved in the robots' deceptive behavior. Results: Participants rated hidden state deception as the most deceptive and approved of it the least among the three deception types. They considered external state and superficial state deception behaviors to be comparably deceptive; but while external state deception was generally approved, superficial state deception was not. Participants in the hidden state condition often implicated agents other than the robot in the deception. Conclusion: This study provides some of the first evidence for how people perceive and evaluate the deceptiveness of robot deception behavior types. This study found that people people distinguish among the three types of deception behaviors and see them as differently deceptive and approve of them differently. They also see at least the hidden state deception as stemming more from the designers than the robot itself.

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This research explores prospective determinants of trust in the recommendations of artificial agents regarding decisions to kill, using a novel visual challenge paradigm simulating threat-identification (enemy combatants vs. civilians) under uncertainty. In Experiment 1, we compared trust in the advice of a physically embodied versus screen-mediated anthropomorphic robot, observing no effects of embodiment; in Experiment 2, we manipulated the relative anthropomorphism of virtual robots, observing modestly greater trust in the most anthropomorphic agent relative to the least. Across studies, when any version of the agent randomly disagreed, participants reversed their threat-identifications and decisions to kill in the majority of cases, substantially degrading their initial performance. Participants' subjective confidence in their decisions tracked whether the agent (dis)agreed, while both decision-reversals and confidence were moderated by appraisals of the agent's intelligence. The overall findings indicate a strong propensity to overtrust unreliable AI in life-or-death decisions made under uncertainty.

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Anthropomorphizing can misinform the making of inferences about animal mental experiences. This is a consideration when implementing the Five Domains Model for animal welfare assessment. An online survey run in 2021 captured horse sector participants' perspectives about anthropomorphism and wellbeing in relation to horses. Most respondents, 82.9% (n = 431/520), believed that anthropomorphism could influence horse welfare and wellbeing. These respondents were then asked how, in their opinion, anthropomorphism might relate to horse welfare. A thematic analysis identified two themes: (1) 'Anthropomorphism can influence how people relate to horses' and (2) 'Anthropomorphism can have consequences for horse welfare and wellbeing'. The results suggested that experienced respondents were aware of the complexities surrounding anthropomorphic attitudes and that anthropomorphism can have beneficial and detrimental consequences on horse welfare and wellbeing. Benefits include a sense of relatedness to a horse, while detriments include the potential to misinterpret horse behaviors. The authors propose that anthropomorphism has a place in horse welfare and wellbeing when used critically and with caution. This study recommends that there is a need to actively manage anthropomorphism when organizations update policies and practices and implement the Five Domains Model. More research is required to understand the effects of anthropomorphism on horse-related practices.

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In this article, ecosexual artists and activists Beth Stephens & Annie Sprinkle re-envision our planet as a butch dyke in menopause. This displacement of the "mother" earth trope re-orients the urgent questions of climate change and consent. Acknowledging the common pitfalls of anthropomorphism, they argue that imagining the Earth as a butch dyke lover enables a radically embodied and joyous mode of environmentalist politics. Stephens and Sprinkle situate their bodies in continuity with the earth in a relationship of queer interdependency as they invent new ways of being in the world that disengage from an abusive, extractive relation to the earth through the cultivation of a loving, playful relationship with our planet. They envision Butch Earth as a switch who invites us into a multitude of embodied, sensual, mindful responses beyond the limits of self-other paradigms. To counter the dominionistic practice of extraction and exploitation, the artists propose an ethical practice of co-sense, rather than consent, in which humans attune themselves to the earth via the senses, a process enabled by repeated, communal, non-monogamous marriages to the planet. Stephens & Sprinkle's curiosity and imagination invite the reader to play and perhaps think about the Earth reciprocally in a relationship grounded by love and sensuality.

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In this study, we explored the impact of tilted designs of anthropomorphic app icons on users' perceptions of icon vividness across three experiments. In Experiment 1, tilting with an angle of 45° to the left increased perceived icon vividness. In Experiment 2, sequential icon tilt angles at 30° intervals manipulation showed that small tilt angles (e.g., 30° to the left or right) enhanced participant perceptions of dynamism and vividness, and participants perceived greater vividness in anthropomorphic app icons with slight tilting, driven by this increased dynamism. In Experiment 3, we excluded the effect of the completeness of icons on these participants' evaluations and affirmed that slightly tilting designs was an effective visual strategy for improving perceived vividness to attract users.

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Anthropomorphized robots are increasingly integrated into human social life, playing vital roles across various fields. This study aimed to elucidate the neural dynamics underlying users' perceptual and emotional responses to robots with varying levels of anthropomorphism. We investigated event-related potentials (ERPs) and event-related spectral perturbations (ERSPs) elicited while participants viewed, perceived, and rated the affection of robots with low (L-AR), medium (M-AR), and high (H-AR) levels of anthropomorphism. EEG data were recorded from 42 participants. Results revealed that H-AR induced a more negative N1 and increased frontal theta power, but decreased P2 in early time windows. Conversely, M-AR and L-AR elicited larger P2 compared to H-AR. In later time windows, M-AR generated greater late positive potential (LPP) and enhanced parietal-occipital theta oscillations than H-AR and L-AR. These findings suggest distinct neural processing phases: early feature detection and selective attention allocation, followed by later affective appraisal. Early detection of facial form and animacy, with P2 reflecting higher-order visual processing, appeared to correlate with anthropomorphism levels. This research advances the understanding of emotional processing in anthropomorphic robot design and provides valuable insights for robot designers and manufacturers regarding emotional and feature design, evaluation, and promotion of anthropomorphic robots.

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Previous studies have focused more on the facilitating effect of nature exposure on positive behavioural consequences. However, less attention has been paid to whether nature exposure can inhibit internalized problem behaviours, such as Internet addiction. Within the framework of the stimuli-organism-response theory, the present study examined the relationship between nature exposure and Internet addiction and investigated the mediating roles of anthropomorphism of nature and awe. In China, we recruited 1469 adolescents (mean age = 13.90 years old, SD = 0.59, 53.2% girls). Mediation analyses indicated that awe partially mediated the relationship between nature exposure and adolescents' Internet addiction. The anthropomorphism of nature and awe served as sequential mediating roles in the relationship between nature exposure and adolescents' Internet addiction. This study provides a nature-based perspective on the prevention and intervention of adolescents' Internet addiction.

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Chatbots, a type of virtual AI entity designed to emulate human conversation, are gaining prominence in business and consumer domains. This research aims to consolidate extant literature focusing on a pivotal aspect: the human-likeness of chatbots. Employing three fundamental themes as organizational pillars - chatbot as a non-human entity, chatbot as a human-like entity, and chatbot as an ambiguous agent - we aim to not only spotlight important findings but also chart out potential trajectories for future exploration. By delving into the intricacies of chatbot-consumer interaction, we seek to shed light on unexplored dimensions of marketing research, ultimately enhancing our understanding of this evolving field.

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As the popularity and adoption of Artificial Intelligence (AI) systems continue to rise, this article presents a promising proposition: the use of AI dialects to enhance AI perception. By delving into the potential of personalized AI dialects to augment user perceptions of warmth, competence, and authenticity, the article underscores the pivotal role of anthropomorphism in fortifying trust, satisfaction, and loyalty to AI systems. A comprehensive research framework is put forth to explore these potential mechanisms and outcomes of AI dialect introduction, shedding light on how these impacts might vary based on AI modality (text, voice, and video), industry adoption, and user demographics.

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This study compares how English-speaking adults and children from the United States adapt their speech when talking to a real person and a smart speaker (Amazon Alexa) in a psycholinguistic experiment. Overall, participants produced more effortful speech when talking to a device (longer duration and higher pitch). These differences also varied by age: children produced even higher pitch in device-directed speech, suggesting a stronger expectation to be misunderstood by the system. In support of this, we see that after a staged recognition error by the device, children increased pitch even more. Furthermore, both adults and children displayed the same degree of variation in their responses for whether "Alexa seems like a real person or not", further indicating that children's conceptualization of the system's competence shaped their register adjustments, rather than an increased anthropomorphism response. This work speaks to models on the mechanisms underlying speech production, and human-computer interaction frameworks, providing support for routinized theories of spoken interaction with technology.

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Recently, the use of digital technologies, such as avatars and virtual reality, has been increasingly explored to address university students' mental health issues. However, there is limited research on the advantages and disadvantages of counselors using avatars in online video counseling. Herein, 25 university students were enrolled in a pilot online counseling session with a human counselor-controlled avatar, and asked about their emotional experiences and impressions of the avatar and to provide qualitative feedback on their communication experience. Positive emotions during the session were associated with impressions of the avatar's intelligence and likeability. The anthropomorphism, animacy, likeability, and intelligent impressions of the avatar were interrelated, indicating that the avatar's smile and the counselor's expertise in empathy and approval may have contributed to these impressions. However, no associations were observed between participant experiences and their prior communication with avatars, or between participant experiences and their gender or the perceived gender of the avatar. Accordingly, recommendations for future practice and research are provided. Accumulating practical and empirical findings on the effectiveness of human-operated avatar counselors is crucial for addressing university students' mental health issues.

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Human knowledge pertaining to human-animal interaction is constructed by the human author, albeit the presence of animal subjects. Such a human lens is pronounced when studying human-animal interactions across history, whose nonhuman animal subjects are not only absent, and therefore eliminating the possibility of conducting empirical studies in situ, but also their experiences are filtered by the interpretative lens of human authors of extant historical accounts as well as contemporary human analysts who interpret these accounts. This article draws upon such epistemological limitations of understanding nonhuman animal presence in historical accounts and offers human-animal intersubjectivity as an analytical concept, involving generative iterability and indistinctive boundaries that emphasise intersubjective openness and relationality, to trace and disclose the continuity of human-animal co-existence. The article's historical scope is the Late Ottoman period characterised by a sense of temporal and spatial disorientation and reorientation for humans as well as street dogs during its modernisation processes.

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Anthropomorphism, the attribution of human-like qualities (e.g., mental states) to nonhuman entities, is a universal but variable psychological experience. Adults with professionally diagnosed autism or high levels of subclinical autistic traits consistently show greater tendencies to anthropomorphize, which has been hypothesized to reflect 1) a compensatory mechanism for lack of social connectedness and 2) a persistence of childhood anthropomorphism into adulthood. Here, we directly tested these hypotheses in a general population sample consisting of both adults (N=685, 17-58 years old) and early adolescents (N=145, 12-14 years old) using the refined 9-item Anthropomorphism Questionnaire (AnthQ9), which measures both present and childhood anthropomorphic tendencies. We found that adults with heightened autistic traits reported increased present anthropomorphism (e.g., tend more to perceive computers as having minds), which held even after controlling for social connectedness. In contrast, adolescents with heightened autistic traits did not show increased present anthropomorphism, but rather reported reduced childhood anthropomorphism (e.g., less likely to perceive toys as having feelings) after controlling for social connectedness. We also found evidence that the present and childhood subscales of the AnthQ9 may tap into fundamentally different aspects of anthropomorphism. The results suggest that increased anthropomorphic tendencies in adults with heightened autistic traits cannot be explained solely by increased sociality motivation, but may be due to delayed development of anthropomorphism, although alternative possibilities of measurement problems cannot be ruled out. Implications for the measurement of anthropomorphism and its relation with theory of mind were also discussed.

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If humans are to team with artificial teammates, factors that influence trust and shared accountability must be considered when designing agents. This study investigates the influence of anthropomorphism, rank, decision cost, and task difficulty on trust in human-autonomous teams (HAT) and how blame is apportioned if shared tasks fail. Participants (N = 31) completed repeated trials with an artificial teammate using a low-fidelity variation of an air-traffic control game. We manipulated anthropomorphism (human-like or machine-like), military rank of artificial teammates using three-star (superiors), two-star (peers), or one-star (subordinate) agents, the perceived payload of vehicles with people or supplies onboard, and task difficulty with easy or hard missions using a within-subject design. A behavioural measure of trust was inferred when participants accepted agent recommendations, and a measure of no trust when recommendations were rejected or ignored. We analysed the data for trust using binomial logistic regression. After each trial, blame was apportioned using a 2-item scale and analysed using a one-way repeated measures ANOVA. A post-experiment questionnaire obtained participants' power distance orientation using a seven-item scale. Possible power-related effects on trust and blame apportioning are discussed. Our findings suggest that artificial agents with higher levels of anthropomorphism and lower levels of rank increased trust and shared accountability, with human team members accepting more blame for team failures.

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Along with the development of speech and language technologies, the market for speech-enabled human-robot interactions (HRI) has grown in recent years. However, it is found that people feel their conversational interactions with such robots are far from satisfactory. One of the reasons is the habitability gap, where the usability of a speech-enabled agent drops when its flexibility increases. For social robots, such flexibility is reflected in the diverse choice of robots' appearances, sounds and behaviours, which shape a robot's 'affordance'. Whilst designers or users have enjoyed the freedom of constructing a social robot by integrating off-the-shelf technologies, such freedom comes at a potential cost: the users' perceptions and satisfaction. Designing appropriate affordances is essential for the quality of HRI. It is hypothesised that a social robot with aligned affordances could create an appropriate perception of the robot and increase users' satisfaction when speaking with it. Given that previous studies of affordance alignment mainly focus on one interface's characteristics and face-voice match, we aim to deepen our understanding of affordance alignment with a robot's behaviours and use cases. In particular, we investigate how a robot's affordances affect users' perceptions in different types of use cases. For this purpose, we conducted an exploratory experiment that included three different affordance settings (adult-like, child-like, and robot-like) and three use cases (informative, emotional, and hybrid). Participants were invited to talk to social robots in person. A mixed-methods approach was employed for quantitative and qualitative analysis of 156 interaction samples. The results show that static affordance (face and voice) has a statistically significant effect on the perceived warmth of the first impression; use cases affect people's perceptions more on perceived competence and warmth before and after interactions. In addition, it shows the importance of aligning static affordance with behavioural affordance. General design principles of behavioural affordances are proposed. We anticipate that our empirical evidence will provide a clearer guideline for speech-enabled social robots' affordance design. It will be a starting point for more sophisticated design guidelines. For example, personalised affordance design for individual or group users in different contexts.

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This review article examines the extant literature on animism and anthropomorphism in infants and young children. A substantial body of work indicates that both infants and young children have a broad concept of what constitutes a sentient agent and react to inanimate objects as they do to people in the same context. The literature has also revealed a developmental pattern in which anthropomorphism decreases with age, but social robots appear to be an exception to this pattern. Additionally, the review shows that children attribute psychological properties to social robots less so than people but still anthropomorphize them. Importantly, some research suggests that anthropomorphism of social robots is dependent upon their morphology and human-like behaviors. The extent to which children anthropomorphize robots is dependent on their exposure to them and the presence of human-like features. Based on the existing literature, we conclude that in infancy, a large range of inanimate objects (e.g., boxes, geometric figures) that display animate motion patterns trigger the same behaviors observed in child-adult interactions, suggesting some implicit form of anthropomorphism. The review concludes that additional research is needed to understand what infants and children judge as social agents and how the perception of inanimate agents changes over the lifespan. As exposure to robots and virtual assistants increases, future research must focus on better understanding the full impact that regular interactions with such partners will have on children's anthropomorphizing. This article is categorized under: Psychology > Learning Cognitive Biology > Cognitive Development Computer Science and Robotics > Robotics.

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Individuals high in autistic traits can have difficulties with social interactions which may stem from difficulties with mentalizing abilities, yet findings from research investigating anthropomorphism of non-human objects in high trait individuals are inconsistent. Measuring emotions and attributes of front-facing vehicles, individuals scoring high versus low on the AQ-10 were compared for ratings of angry-happy, hostile-friendly, masculine-feminine, and submissive-dominant, as a function of vehicle size (large versus small). Our results showed that participants perceived large vehicles as more angry, hostile, masculine, and dominant than small vehicles, with no significant difference in ratings between high and low AQ-10 scorers. The current findings support previous research reporting high autistic trait individuals' intact object processing. Our novel findings also suggest high autistic trait individuals' anthropomorphizing abilities are comparable to those found in low autistic trait individuals.

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Addressing depression and social isolation among solo-living older adults in South Korea requires a multi-faceted approach. This study aims to explore the advantages and obstacles of a robotic elder care program by analyzing social workers' viewpoints regarding interactions between older adults and a companion robot named Hyodol. Through the purposive sampling method, we conducted comprehensive interviews with 10 social workers who are pioneering the integration of robots in elder care. The study participants observed and compared the demographic characteristics of users and non-users, elucidated usage patterns, described the roles of robot companions, and shared remarkable instances. Overall, the experiences of these social workers underscored the positive influence of Hyodol in offering companionship, care, and emotional support, especially in circumstances where clients experienced isolation or lacked regular family interactions. In addition, social workers' perspectives hold significant value in comprehending the genuine effects of anthropomorphism - the inclination to attribute human-like qualities and emotions to robots. Our investigation revealed the existence of two distinct modes of personification among older adults, which we have labeled as "imagination" and "projection."

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Although sheep are commonly transported long distances, and sheep welfare during transport is a topic of research and policy discussion, the subject of their fatigue during transport has been under-researched. The current qualitative study, focused on the EU and UK, aimed to critically analyse stakeholder views on issues relating to sheep fatigue, including behavioural indications of fatigue, the interplay between fatigue and other factors, and the practicalities of identifying fatigue in commercial transport conditions. Insight into stakeholder perceptions of these issues could contribute to the body of knowledge regarding sheep fatigue during transport, potentially playing a part in future efforts to improve fatigue understanding and detection. Eighteen experts from different stakeholder groups were interviewed. Reflexive thematic analysis of interview data yielded four themes and three sub-themes. The first theme, "Let's anthropomorphise it a little bit", underscores the pervasiveness of anthropomorphism and suggests using it in a conscious and deliberate way to drive stakeholder engagement and policy change. The second theme, "We think that they're like we are and they're not", cautions against wholesale transfer of human experiences to animals. The third theme, 'See the whole animal', advocates using Qualitative Behaviour Analysis (QBA), proven reliable in other contexts, to deepen and enrich our current understanding of fatigue. The fourth theme, 'Fatigue "never comes up"', highlights the fact that fatigue is rarely if ever discussed in the context of sheep transport. These themes suggest several avenues for future research, including developing QBA-based assessments for fatigue to improve welfare during transport.

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Keeping a distance from food animals helps alleviate moral conflicts associated with meat consumption. Prior research on the 'meat paradox' has shown that physical distance from animals reduces negative emotional responses when consuming meat. However, even with physical distance, the presence of animals in meat advertisements and packaging can establish psychological contact. The impact of psychological distance on meat consumption and purchase inclinations has not been well explored. Through four experiments, we discovered that animal anthropomorphism psychologically brings consumers closer to food animals, resulting in reduced intentions to consume and purchase meat. Anthropomorphized animal images notably reduced social psychological distance for consumers with moderate to high (vs. lower) levels of anthropomorphic tendencies. Furthermore, the effect of anthropomorphism was influenced by moral self-efficacy. Specifically, when social psychological distance was reduced, consumers with higher (vs. lower) moral self-efficacy exhibited a significant decrease in their willingness to consume and purchase meat. These findings expand our understanding of the role of anthropomorphism in meat marketing, its limitations, and offer insights for sales strategies. Additionally, the research could inform public health policies on meat consumption, addressing environmental and ethical concerns tied to meat production amid growing worries about animal welfare.

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