Parental Acceptance of Children's Storytelling Robots: A Projection of the Uncanny Valley of AI.
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ABSTRACT:
SUBMITTER: Lin C
PROVIDER: S-EPMC8172185 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:The Uncanny valley hypothesis, which tells us that almost-human characteristics in a robot or a device could cause uneasiness in human observers, is an important research theme in the Human Robot Interaction (HRI) field. Yet, that phenomenon is still not well-understood. Many have investigated the external design of humanoid robot faces and bodies but only a few studies have focused on the influence of robot movements on our perception and feelings of the Uncanny valley. Moreover, no research has investigated the possible relation between our uneasiness feeling and whether or not we would accept robots having a job in an office, a hospital or elsewhere. To better understand the Uncanny valley, we explore several factors which might have an influence on our perception of robots, be it related to the subjects, such as culture or attitude toward robots, or related to the robot such as emotions and emotional intensity displayed in its motion. We asked 69 subjects (N = 69) to rate the motions of a humanoid robot (Perceived Humanity, Eeriness, and Attractiveness) and state where they would rather see the robot performing a task. Our results suggest that, among the factors we chose to test, the attitude toward robots is the main influence on the perception of the robot related to the Uncanny valley. Robot occupation acceptability was affected only by Attractiveness, mitigating any Uncanny valley effect. We discuss the implications of these findings for the Uncanny valley and the acceptability of a robotic worker in our society.
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Project description:The uncanny valley (UV) effect refers to an eerie feeling of unfamiliarity people get while observing or interacting with robots that resemble humans almost but not quite perfectly. The effect is not well understood, and it is also unclear how well results from previous research on the UV can be replicated. In six studies, both in the laboratory and online (N = 1343), we attempted to replicate the UV effect with various stimuli used in previous research. In Studies 1 and 2 we failed to replicate the UV effect with CGI stimuli created using the so-called morphing technique (a robot image morphed into a human image, resulting in a supposedly creepy robot-human image). In Studies 3a and 3b we found a prominent UV effect using pre-evaluated, non-morphed and photorealistic robot pictures. Finally, in exploratory Studies 4a and 4b we found the UV effect using morphed and photorealistic human and robot pictures. Our results suggest that the UV effect is more robust when elicited by pre-validated or prima facie uncanny robot pictures than by non-photorealistic images generated using the morphing technique. We argue that photorealistic pictures are more suitable than less realistic CGI pictures as stimuli for research attempting to elicit the UV effect - however, our results do not invalidate any previous research on the UV effect using morphing techniques, but point to their domain of applicability and context sensitivity.
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Project description:There are a number of psychological phenomena in which dramatic emotional responses are evoked by seemingly innocuous perceptual stimuli. A well known example is the 'uncanny valley' effect whereby a near human-looking artifact can trigger feelings of eeriness and repulsion. Although such phenomena are reasonably well documented, there is no quantitative explanation for the findings and no mathematical model that is capable of predicting such behavior. Here I show (using a Bayesian model of categorical perception) that differential perceptual distortion arising from stimuli containing conflicting cues can give rise to a perceptual tension at category boundaries that could account for these phenomena. The model is not only the first quantitative explanation of the uncanny valley effect, but it may also provide a mathematical explanation for a range of social situations in which conflicting cues give rise to negative, fearful or even violent reactions.
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Project description:The influence of human-care service robots in human-robot interaction is becoming of great importance, because of the roles that the robots are taking in today's and future society. Thus, we need to identify how humans can interact, collaborate, and learn from social robots more efficiently. Additionally, it is important to determine the robots' modalities that can increase the humans' perceived likeness and knowledge acquisition and enhance human-robot collaboration. The present study aims to identify the optimal social service robots' modalities that enhance the human learning process and level of enjoyment from the interaction and even attract the humans' attention to choosing a robot to collaborate with it. Our target group was college students, pre-service teachers. For this purpose, we designed two experiments, each one split in two parts. Both the experiments were between groups, and human participants had the chance to watch the Nao robot performing a storytelling exercise about the history of robots in a museum-educational activity via video annotations. The robot's modalities were manipulated on its body movements (expressive arm and head gestures) while performing the storytelling, friendly attitude expressions and storytelling, and personality traits. After the robot's storytelling, participants filled out a knowledge acquisition questionnaire and a self-reported enjoyment level questionnaire. In the second part, we introduce the idea of participants witnessing a conversation between the robots with the different modalities, and they were asked to choose the robot with which they want to collaborate in a similar activity. Results indicated that participants prefer to collaborate with robots with a cheerful personality and expressive body movements. Especially when they were asked to choose between two robots that were cheerful and had expressive body movements, they preferred the one which originally told them the story. Moreover, participants did not prefer to collaborate with a robot with an extremely friendly attitude and storytelling style.
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