Human-like Characteristics Research Articles

Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems

In this paper, a dynamic mentoring scheme along with a self-regulation scheme have been incorporated in the standard Particle Swarm Optimization (PSO) algorithm to empower the searching particles with human-like characteristics. The algorithm is referred to as a Dynamic Mentoring and Self-Regulation based Particle Swarm Optimization (DMeSR-PSO) algorithm. Based on their experiences, the particles are divided into three groups, viz., the mentor group, the mentee group and the independent learner group where the number of particles in each group is dynamically changing in every iteration. In human learning psychology, mentoring is regarded as a powerful and effective learning process and independent learners are the ones who do not need mentoring and are capable of performing self-regulation of their own knowledge. Therefore, the particles in each of the above three groups have different learning strategies for their velocity updates where the mentors are equipped with a strong self-belief based search, the mentees are taking guidance from the mentors and the independent learners employ self-perception strategy. The DMeSR-PSO algorithm has been extensively evaluated using the simple unimodal and multimodal benchmark functions from CEC2005, more complex shifted and rotated benchmark functions from CEC2013 and also based on eight real-world problems from CEC2011. The results have been compared with six state-of-the-art PSO variants and five meta-heuristic algorithms for the CEC2005 problems. Further, a comparative analysis on CEC2013 benchmark functions with different PSO variants has also been presented. Finally, DMeSR-PSO’s performance on the real-world problems is compared with the top two algorithms from the CEC2011 competition. The results indicate that the proposed learning strategies help DMeSR-PSO to achieve faster convergence and provide better solutions in most of the problems with a 95% confidence level, yielding an effective optimization algorithm for real-world applications.

Designing Robot Embodiments for Social Interaction: Affordances Topple Realism and Aesthetics

In the near future, human-like social robots will become indispensable for providing support in various social tasks, in particular for healthcare (e.g., assistance, coaching). The perception of realism, in particular human-like features, can help facilitate mediated social interaction. The current study investigated the effects of form realism on engagement with and use intentions of social robot embodiments. We have defined (perceived) form realism as the result of the appraisal of features that are perceived as realistic contrasted with those appraised as unrealistic. To test the effects of form realism, we applied the model of interactively perceiving and experiencing fictional characters (I-PEFiC). I-PEFiC explains how users respond to interactive, fictional, humanoid characters, on social robots. In a within-subjects design, participants (N = 29; $$M_{age}$$ = 28.8 years, age range 18–56 years) interacted with three different robots built from LEGO Mindstorms, which differed in their degree of designed form realism. Each robot presented itself as a physiotherapy assistant and requested the participant to do several exercises. Results of a structured questionnaire indicated that form realism only played a modest role in the perception of electro-mechanical robots. Instead, the perception of affordances appeared to be crucial for determining engagement and intentions to use social robots.

Metaphoric Models of the Concept FIRE in Sakha and English Languages

The article deals with the study of concept FIRE in Sakha and English languages. Basing on the theory of conceptual metaphor the authors singled out metaphoric models of representation of concept FIRE in both cultures. The two languages have common universal and differential specific ways of conceptualizing the concept under study. They depend on the structure of both languages and also on cultural and historic background. The Sakha language displays pagan conception of fire as a living being expressed in the models FIRE IS A HUMAN BEING, FIRE IS AN OLD MAN. The metaphoric models found in the English language are connected with materialistic conception of fire in the models FIRE IS A MATERIAL OBJECT. The examples of personification in English convey humanlike characteristics of fire which is able to consume, dance, sweep, kill, die, etc. The Christian religion of the English reveals itself in the metaphoric model FIRE IS HELL which is a well-known allusion to the Bible. The identified models might be valuable for cross-cultural studies and cognitive linguistics.

Bridging the mechanical and the human mind: spontaneous mimicry of a physically present android.

The spontaneous mimicry of others' emotional facial expressions constitutes a rudimentary form of empathy and facilitates social understanding. Here, we show that human participants spontaneously match facial expressions of an android physically present in the room with them. This mimicry occurs even though these participants find the android unsettling and are fully aware that it lacks intentionality. Interestingly, a video of that same android elicits weaker mimicry reactions, occurring only in participants who find the android “humanlike.” These findings suggest that spontaneous mimicry depends on the salience of humanlike features highlighted by face-to-face contact, emphasizing the role of presence in human-robot interaction. Further, the findings suggest that mimicry of androids can dissociate from knowledge of artificiality and experienced emotional unease. These findings have implications for theoretical debates about the mechanisms of imitation. They also inform creation of future robots that effectively build rapport and engagement with their human users.

Benefits of emotional design in multimedia instruction

Emotional design of multimedia instruction involves making the essential elements in the lesson's graphics more appealing, such as by rendering them with human-like features and with distinct, appealing colors (Um, Plass, Hayward, & Homer, 2012). College students received an 8-slide multimedia lesson on how a virus causes a cold for 5 min (Experiment 1) or for as long as they wanted (Experiment 2). For the control group, the graphics consisted of simple black-and-white drawings in which the host cell was represented as a large circle, and the virus was represented as a small circle with small spikes on the outside and a rectangle on the inside. For the enhanced group, the graphics were redrawn to render the host cell as a red face with expressive eyes (registering surprise, fear, and sickness at various stages in the process), and the virus as a blue face with fierce eyes and with a green dot at the end of each of the blue tentacles surrounding the virus face. The enhanced group performed better than the control group on a subsequent learning test (d = 0.69 in Experiment 1, d = 0.65 in Experiment 2) and gave higher effort ratings in Experiment 1 (d = 0.65) but not in Experiment 2 (d = −0.10). The findings are generally consistent with the cognitive affective theory of learning with media, and point to the importance of incorporating motivation into cognitive theories of multimedia learning.

Humans (really) are animals: picture-book reading influences 5-year-old urban children’s construal of the relation between humans and non-human animals

What is the relation between humans and non-human animals? From a biological perspective, we view humans as one species among many, but in the fables and films we create for children, we often offer an anthropocentric perspective, imbuing non-human animals with human-like characteristics. What are the consequences of these distinctly different perspectives on children’s reasoning about the natural world? Some have argued that children universally begin with an anthropocentric perspective and that acquiring a biological perspective requires a basic conceptual change (cf. Carey, 1985). But recent work reveals that this anthropocentric perspective, evidenced in urban 5-year-olds, is not evident in 3-year-olds (Herrmann etal., 2010). This indicates that the anthropocentric perspective is not an obligatory first step in children’s reasoning about biological phenomena. In the current paper, we introduced a priming manipulation to assess whether 5-year-olds’ reasoning about a novel biological property is influenced by the perspectives they encounter in children’s books. Just before participating in a reasoning task, each child read a book about bears with an experimenter. What varied was whether bears were depicted from an anthropomorphic (Berenstain Bears) or biological perspective (Animal Encyclopedia). The priming had a dramatic effect. Children reading the Berenstain Bears showed the standard anthropocentric reasoning pattern, but those reading the Animal Encyclopedia adopted a biological pattern. This offers evidence that urban 5-year-olds can adopt either a biological or a human-centered stance, depending upon the context. Thus, children’s books and other media are double-edged swords. Media may (inadvertently) support human-centered reasoning in young children, but may also be instrumental in redirecting children’s attention to a biological model.

Investigating Gender‐Schema Congruity Effects on Consumers’ Evaluation of Anthropomorphized Products

ABSTRACTAnthropomorphism refers to the tendency to attribute humanlike characteristics, intentions, and behavior to nonhuman artifacts. Prior research has established a product‐schema congruity effect by suggesting that successful anthropomorphism necessitates a product with schema‐congruent features next to the promotion message. This article extends this body of research for the specific case of gender anthropomorphism by proposing a gender‐schema congruity effect. Specifically, the results of two experimental studies demonstrated that when a human gender schema is primed, that is, congruent with consumers’ own gender, consumers show more preferential evaluations and are more likely to perceive the product as human, even when no product‐schema congruent features are present in the product. Results indicated that perceived anthropomorphism mediates the gender‐schema congruity effect and the product‐schema congruity effect on product evaluations.

Development of adrenal cortical zonation and expression of key elements of adrenal androgen production in the chimpanzee (Pan troglodytes) from birth to adulthood

The basis for the pattern of adrenal androgen production in the chimpanzee, which resembles that of humans, is poorly defined. We characterized the developmental zonation and expression of elements of the androgen biosynthetic pathway in the chimpanzee adrenal. The newborn adrenal contained a broad fetal zone (FZ) expressing CYP17, SULT2A1, and Cytochrome B5 (CB5) but not HSD3B; the outer cortex expressed HSD3B but not SULT2A1 or CB5. During infancy, the FZ involuted and the HSD3B-expressing outer cortex broadened. By 3years of age, a thin layer of cells that expressed CB5, SULT2A1, and CYP17 adjoined the medulla and likely represented the zona reticularis; the outer cortex consisted of distinct zonae fasiculata and glomerulosa. Thereafter, the zona reticularis broadened as also occurs in the human. The adult chimpanzee adrenal displayed other human-like characteristics: intramedullary clusters of reticularis-like cells and also a cortical cuff of zona fasiculata-like cells adjoining the central vein.

The Self in the Machine

Social human-robot interaction (HRI) has been widely recognised as one of the major challenges for robotics. This social aspect includes designing robots that embraces various humanlike characteristics regarding robot appearance and behaviour. Few HRI studies, however, address the core goal of human social interaction, i.e. the development of the self. This paper argues that social robots can constitute an illusion or an extension of the human self and should be developed as such. The concept of the self and its meanings for HRI research are here discussed from the symbolic interactionism perspective.

A meaningful embrace: Contingent effects of embodied cues of affection

Can a mere gesture lead to intimate product bonding? In this research, we find that affectionate gestures (e.g. hugging, stroking) can serve as routes to object attachment. We suggest that the mere execution of an affectionate gesture can generate emotional attachment, which translates into enhanced product attitudes. However, this effect is contingent on the existence of facilitating conditions via the presence of humanlike characteristics in the target object of the affectionate gesture.

Incorporating trust-in-technology into Expectation Disconfirmation Theory

Continued use of strategic information systems is not always a given. This study proposes that users’ trust in the system may influence their satisfaction and continuance intention. While trust has been found to have strategic implications for understanding consumers’ technology usage, relatively little research has examined how trust’s influence operates over time. To gain insight into trust’s influence on strategic system usage over time and to explain how trust relates to satisfaction and continuance intention, we integrate trust-related constructs with the Complete Expectation Disconfirmation Theory (EDT) Model. Our results demonstrate that trust plays a central role in the EDT process and that the EDT process helps explain trust’s role more completely. The study shows that technology trusting expectations influence trusting intention through performance, disconfirmation, and satisfaction. We also show that technology trusting intention adds predictive power to EDT’s satisfaction construct as together they predict usage continuance intention. For research, our results provide a strong combined EDT and trust theory base for future studies that examine expectation management and system development projects. For practice, our study informs systems implementation strategies for technologies that have fewer human-like characteristics and more technology-like characteristics. Our findings underscore that managers need to adopt an EDT process-based view when seeking to build trust, satisfaction, and continuance intention in strategically important information systems.

Changes in the hemagglutinin of H5N1 viruses during human infection – Influence on receptor binding

As avian influenza A(H5N1) viruses continue to circulate in Asia and Africa, global concerns of an imminent pandemic persist. Recent experimental studies suggest that efficient transmission between humans of current H5N1 viruses only requires a few genetic changes. An essential step is alteration of the virus hemagglutinin from preferential binding to avian receptors for the recognition of human receptors present in the upper airway. We have identified receptor-binding changes which emerged during H5N1 infection of humans, due to single amino acid substitutions, Ala134Val and Ile151Phe, in the hemagglutinin. Detailed biological, receptor-binding, and structural analyses revealed reduced binding of the mutated viruses to avian-like receptors, but without commensurate increased binding to the human-like receptors investigated, possibly reflecting a receptor-binding phenotype intermediate in adaptation to more human-like characteristics. These observations emphasize that evolution in nature of avian H5N1 viruses to efficient binding of human receptors is a complex multistep process.

When Mother Earth Rises Up

Anthropomorphization is the tendency to ascribe humanlike features and mental states, such as free will and consciousness, to nonhuman beings or inanimate agents. Two studies investigated the consequences of the anthropomorphization of nature on people’s willingness to help victims of natural disasters. Study 1 (N = 96) showed that the humanization of nature correlated negatively with willingness to help natural disaster victims. Study 2 (N = 52) tested for causality, showing that the anthropomorphization of nature reduced participants’ intentions to help the victims. Overall, our findings suggest that humanizing nature undermines the tendency to support victims of natural disasters.

Early hominin auditory ossicles from South Africa

The middle ear ossicles are only rarely preserved in fossil hominins. Here, we report the discovery of a complete ossicular chain (malleus, incus, and stapes) of Paranthropus robustus as well as additional ear ossicles from Australopithecus africanus. The malleus in both early hominin taxa is clearly human-like in the proportions of the manubrium and corpus, whereas the incus and stapes resemble African and Asian great apes more closely. A deep phylogenetic origin is proposed for the derived malleus morphology, and this may represent one of the earliest human-like features to appear in the fossil record. The anatomical differences found in the early hominin incus and stapes, along with other aspects of the outer, middle, and inner ear, are consistent with the suggestion of different auditory capacities in these early hominin taxa compared with modern humans.

Psychologically realistic cognitive agents: taking human cognition seriously

Cognitive architectures may serve as a good basis for building mind/brain-inspired, psychologically realistic cognitive agents for various applications that require or prefer human-like behaviour and performance. This article explores a well-established cognitive architecture CLARION and shows how its behaviour and performance capture human psychology at a detailed level. The model captures many psychological quasi-laws concerning categorisation, induction, uncertain reasoning, decision-making, and so on, which indicates human-like characteristics beyond what other models have been shown to be capable of. Thus, CLARION constitutes an advance in developing more psychologically realistic cognitive agents.

Emotional State Classification in Patient–Robot Interaction Using Wavelet Analysis and Statistics-Based Feature Selection

Due to a major shortage of nurses in the U.S., future healthcare service robots are expected to be used in tasks involving direct interaction with patients. Consequently, there is a need to design nursing robots with the capability to detect and respond to patient emotional states and to facilitate positive experiences in healthcare. The objective of this study was to develop a new computational algorithm for accurate patient emotional state classification in interaction with nursing robots during medical service. A simulated medicine delivery experiment was conducted at two nursing homes using a robot with different human-like features. Physiological signals, including heart rate (HR) and galvanic skin response (GSR), as well as subjective ratings of valence (happy-unhappy) and arousal (excited-bored) were collected on elderly residents. A three-stage emotional state classification algorithm was applied to these data, including: (1) physiological feature extraction; (2) statistical-based feature selection; and (3) a machine-learning model of emotional states. A pre-processed HR signal was used. GSR signals were nonstationary and noisy and were further processed using wavelet analysis. A set of wavelet coefficients, representing GSR features, was used as a basis for current emotional state classification. Arousal and valence were significantly explained by statistical features of the HR signal and GSR wavelet features. Wavelet-based de-noising of GSR signals led to an increase in the percentage of correct classifications of emotional states and clearer relationships among the physiological response and arousal and valence. The new algorithm may serve as an effective method for future service robot real-time detection of patient emotional states and behavior adaptation to promote positive healthcare experiences.

Ads are watching me

With the advancement of technological platforms, the use of recommendation agents that can provide highly customisable solutions has become more ubiquitous. Marketing academics and practitioners alike have begun to investigate various communication styles and functionality designs of such decision aid systems. One variant of a design of a recommendation agent is to imbue it with humanlike features (i.e. to anthropomorphise it). However, academic research is silent with respect to whether this type of design would lead to more favourable consumer evaluations. To fill this gap, our research investigates the downstream consequences of anthropomorphising a recommendation agent, when the recommendation itself may require the exchange of personally sensitive information, and the message is customised. The results of two experiments reveal that, when a message is customised, the effect of an anthropomorphized recommendation agent on attitude towards the advertisement is predominantly negative and is mediated by consumers’ unwillingness to provide personal information to an anthropomorphic recommendation agent, as well as by greater psychological resistance towards the advertisement. Our research concludes with theoretical and practical implications, as well as further research directions.

Decision support aids with anthropomorphic characteristics influence trust and performance in younger and older adults

This study examined the use of deliberately anthropomorphic automation on younger and older adults' trust, dependence and performance on a diabetes decision-making task. Research with anthropomorphic interface agents has shown mixed effects in judgments of preferences but has rarely examined effects on performance. Meanwhile, research in automation has shown some forms of anthropomorphism (e.g. etiquette) have effects on trust and dependence on automation. Participants answered diabetes questions with no-aid, a non-anthropomorphic aid or an anthropomorphised aid. Trust and dependence in the aid was measured. A minimally anthropomorphic aide primarily affected younger adults' trust in the aid. Dependence, however, for both age groups was influenced by the anthropomorphic aid. Automation that deliberately embodies person-like characteristics can influence trust and dependence on reasonably reliable automation. However, further research is necessary to better understand the specific aspects of the aid that affect different age groups. Automation that embodies human-like characteristics may be useful in situations where there is under-utilisation of reasonably reliable aids by enhancing trust and dependence in that aid. Practitioner Summary: The design of decision-support aids on consumer devices (e.g. smartphones) may influence the level of trust that users place in that system and their amount of use. This study is the first step in articulating how the design of aids may influence user's trust and use of such systems

A complete second metatarsal (StW 89) from Sterkfontein Member 4, South Africa

The functional anatomy of the hominin foot has played a crucial role in studies of locomotor evolution in human ancestors and extinct relatives. However, foot fossils are rare, often isolated, and fragmentary. Here, we describe a complete hominin second metatarsal (StW 89) from the 2.0–2.6 million year old deposits of Member 4, Sterkfontein Cave, South Africa. Like many other fossil foot bones, it displays a mosaic of derived human-like features and primitive ape-like features. StW 89 possesses a domed metatarsal head with a prominent sulcus, indicating dorsiflexion at the metatarsophalangeal joint during bipedal walking. However, while the range of motion at the metatarsophalangeal joint is human-like in dorsiflexion, it is ape-like in plantarflexion. Furthermore, StW 89 possesses internal torsion of the head, an anatomy decidedly unlike that found in humans today. Unlike other hominin second metatarsals, StW 89 has a dorsoplantarly gracile base, perhaps suggesting more midfoot laxity. In these latter two anatomies, the StW 89 second metatarsal is quite similar to the recently described second metatarsal of the partial foot from Burtele, Ethiopia. We interpret this combination of anatomies as evidence for a low medial longitudinal arch in a foot engaged in both bipedal locomotion, but also some degree of pedal, and perhaps even hallucal, grasping. Additional fossil evidence will be required to determine if differences between this bone and other second metatarsals from Sterkfontein reflect normal variation in an evolving lineage, or taxonomic diversity.

Moving Just Like You: Motor Interference Depends on Similar Motility of Agent and Observer

Recent findings in neuroscience suggest an overlap between brain regions involved in the execution of movement and perception of another’s movement. This so-called “action-perception coupling” is supposed to serve our ability to automatically infer the goals and intentions of others by internal simulation of their actions. A consequence of this coupling is motor interference (MI), the effect of movement observation on the trajectory of one’s own movement. Previous studies emphasized that various features of the observed agent determine the degree of MI, but could not clarify how human-like an agent has to be for its movements to elicit MI and, more importantly, what ‘human-like’ means in the context of MI. Thus, we investigated in several experiments how different aspects of appearance and motility of the observed agent influence motor interference (MI). Participants performed arm movements in horizontal and vertical directions while observing videos of a human, a humanoid robot, or an industrial robot arm with either artificial (industrial) or human-like joint configurations. Our results show that, given a human-like joint configuration, MI was elicited by observing arm movements of both humanoid and industrial robots. However, if the joint configuration of the robot did not resemble that of the human arm, MI could longer be demonstrated. Our findings present evidence for the importance of human-like joint configuration rather than other human-like features for perception-action coupling when observing inanimate agents.