Anthropomorphism

Summary

Anthropomorphism is the attribution of human traits, emotions, or intentions to non-human entities. It is considered to be an innate tendency of human psychology. Personification is the related attribution of human form and characteristics to abstract concepts such as nations, emotions, and natural forces, such as seasons and weather. Both have ancient roots as storytelling and artistic devices, and most cultures have traditional fables with anthropomorphized animals as characters. People have also routinely attributed human emotions and behavioral traits to wild as well as domesticated animals. Anthropomorphism and anthropomorphization derive from the verb form anthropomorphize, itself derived from the Greek ánthrōpos (ἄνθρωπος, () "human") and morphē (μορφή, "form"). It is first attested in 1753, originally in reference to the heresy of applying a human form to the Christian God. From the beginnings of human behavioral modernity in the Upper Paleolithic, about 40,000 years ago, examples of zoomorphic (animal-shaped) works of art occur that may represent the earliest known evidence of anthropomorphism. One of the oldest known is an ivory sculpture, the Löwenmensch figurine, Germany, a human-shaped figurine with the head of a lioness or lion, determined to be about 32,000 years old. It is not possible to say what these prehistoric artworks represent. A more recent example is The Sorcerer, an enigmatic cave painting from the Trois-Frères Cave, Ariège, France: the figure's significance is unknown, but it is usually interpreted as some kind of great spirit or master of the animals. In either case there is an element of anthropomorphism. This anthropomorphic art has been linked by archaeologist Steven Mithen with the emergence of more systematic hunting practices in the Upper Palaeolithic. He proposes that these are the product of a change in the architecture of the human mind, , where anthropomorphism allowed hunters to identify empathetically with hunted animals and better predict their movements.

Official source

https://en.wikipedia.org/wiki/Anthropomorphism

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Robotic systems are becoming more and more pervasive in modern industrial, scientific and personal activities through recent years and will play a fundamental role in the future society. Despite their increasing level of automation, teleoperation is still needed in many robotic applications. Human-Robot Interfaces (HRIs) are a central element in the diffusion of robots and are a crucial component to make them available to the use of most people. However, standard interfaces such as remote controllers still need time and extensive training to be proficiently mastered by users. Body-Machine Interfaces (BoMIs) represent a promising alternative to such devices as they leverage the innate ability of humans to finely control their movements. This thesis aims to provide new insights about humans' natural motor behaviors when interfacing with robots and to propose novel approaches for the implementation of HRIs based on body motion. The core contribution of this work is the design, realization and qualification of machine learning-based methods to translate the motion of a person into control inputs for a robot. The methods described here allowed naive users to effectively control real and simulated robots based on the processing of their body movements with a faster learning rate compared to classic interfaces. We extended our core algorithm to leverage knowledge about the natural organization of human motion resulting a more general method that was successfully applied for the control of a set of morphologically different machines. Through the implementation of an online adaptive functionality, we enabled users to modify their motor behaviour during teleoperation resulting in a lower perceived physical and cognitive workload and augmented performance. Human factors such as the sense of presence in virtual or distant environments, or the motor characteristics of distinct body areas are a key factor for advanced telerobotic applications. We studied the impact of the use of Virtual Reality for the control of non-anthropomorphic machines, and the effects of designing BoMIs based on different limbs opening to new knowledge about the effects of such factors in human-robot interaction. The design of a wearable haptic interface for drone operation showed the potential of augmenting their senses to perceive a distal environment through the sense of touch. Thanks to this novel design, nonexpert users were enabled to navigate drones through narrow passages with limited visibility, a task almost impossible to perform with standard interfaces.We believe that this thesis contributes to pave the way towards a deeper understanding of humans in human-robot interaction, as well as providing a new set of tools for the design of simple, intuitive interfaces with the goal of democratizing robotic teleoperation for the masses.

EPFL2021

The Impact of Virtual Reality and Viewpoints in Body Motion Based Drone Teleoperation

Dario Floreano, Fabrizio Schiano, Matteo Macchini, Manana Lortkipanidze

The operation of telerobotic systems can be a challenging task, requiring intuitive and efficient interfaces to enable inexperienced users to attain a high level of proficiency. Body-Machine Interfaces (BoMI) represent a promising alternative to standard control devices, such as joysticks, because they leverage intuitive body motion and gestures. It has been shown that the use of Virtual Reality (VR) and first-person view perspectives can increase the user's sense of presence in avatars. However, it is unclear if these beneficial effects occur also in the teleoperation of non-anthropomorphic robots that display motion patterns different from those of humans. Here we describe experimental results on teleoperation of a non-anthropomorphic drone showing that VR correlates with a higher sense of spatial presence, whereas viewpoints moving coherently with the robot are associated with a higher sense of embodiment. Furthermore, the experimental results show that spontaneous body motion patterns are affected by VR and viewpoint conditions in terms of variability, amplitude, and robot correlates, suggesting that the design of BoMIs for drone teleoperation must take into account the use of Virtual Reality and the choice of the viewpoint.

2021

L’anthropomorphisation de l’interface hommes-machines. Son évolution et ses enjeux dans l’enseignement à travers une enquête de terrain

Arnaud Jutzeler, Grégory Del Colle, Christophe Schild

2011