Article
Psychology, Multidisciplinary
Anjan Chatterjee
Summary: This essay critically examines the view that AI will play a significant role in the appreciation and production of visual art. Despite the differences in attributes typically important to viewers, such as the agency of the artist and the uniqueness of the art, the author argues that AI can produce meaningful and evocative art even without understanding ideas or experiencing emotions. AI is and will increasingly be a powerful tool for artists, challenging our notions of beauty, creativity, and the nature of art.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Automation & Control Systems
Hua Peng, Jing Li, Huosheng Hu, Keli Hu, Liping Zhao, Chao Tang
Summary: This paper proposes a novel mechanism of automatic aesthetics assessment of robotic dance motions based on ensemble learning. It characterizes robotic dance motion with key pose descriptors and higher-order clustering features, and builds an ensemble classifier for automatic aesthetics assessment. Experimental results show the feasibility and good performance of the proposed mechanism.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2022)
Article
Sport Sciences
Ove Sollie, Kristian Holmsen, Christian Steinbo, Yngvar Ommundsen, Thomas Losnegard
Summary: The study showed that coaching feedback and video feedback significantly improved the performance of adolescent competitive cross-country skiers. Both groups exhibited increased high-speed performance. Coaching feedback group reported higher enjoyment and self-perception of improved technique compared to other groups.
SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS
(2021)
Article
Multidisciplinary Sciences
Prisca Hsu, Emily A. Ready, Jessica A. Grahn
Summary: Music and dance training can improve humans' beat perception and production abilities, especially in individuals with early-stage Parkinson's disease. Participants with over three years of music training showed more accurate beat perception, and Parkinson's disease patients with music training performed similarly to healthy adults in beat production tasks.
Article
Neurosciences
G. Gabrielle Starr
Summary: Aesthetic experiences can promote learning and creativity by improving the ability to understand complexity and integrate novel or disparate information. This paper provides a theoretical framework that explains the cognitive benefits of aesthetic experiences, arguing that they are a necessary outcome of human learning, wherein natural objects or artworks are evaluated in a multi-dimensional preference space shaped by Bayesian prediction. Additionally, the paper suggests that the brain-states underlying aesthetic experiences utilize configurations of three transmodal neural systems - the default mode network, the central executive network, and the salience network - which can enhance information processing by recruiting the brain's high-power communication hubs, thus enhancing the potential for learning gain.
FRONTIERS IN HUMAN NEUROSCIENCE
(2023)
Article
Education & Educational Research
Wei Xu, Qian-Wen Xing, Jing-Dong Zhu, Xiao Liu, Pin-Nv Jin
Summary: This study developed an XR interactive learning system to assist teachers in dance teaching and explored the impact of XR on the process and results of dance skills. The results indicate that XR has the potential to improve students' learning performance and facilitate learning interactions in dance learning. Moreover, XR has the potential to enhance learning experience by reducing the cognitive load of students in dance learning.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Article
Psychology, Multidisciplinary
Xinyu Dou, Lin Jia, Jinchuan Ge
Summary: Dance creation involves complex psychological activities, with improvisational dance being a significant way to release and develop creativity. The study explores how improvisational dance movements and structures can enhance the potential creative thinking of dance creators. The application of psychological theories in cultivating improvisational dance creativity is also highlighted.
FRONTIERS IN PSYCHOLOGY
(2021)
Article
Medicine, General & Internal
Roberto De Giorgi, Antonio Fortini, Federica Aghilarre, Federico Gentili, Giovanni Morone, Gabriella Antonucci, Mario Vetrano, Gaetano Tieri, Marco Iosa
Summary: In neurorehabilitation, art therapy has been found to effectively reduce psychological disorders and improve physical and cognitive abilities. Neuroaesthetical studies have shown that viewing art can stimulate brain activity and motor networks. By combining contemplation and performance, a virtual reality system was developed to allow patients to paint famous artistic paintings. The study aimed to test the rehabilitative efficacy of the system.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Computer Science, Artificial Intelligence
Liu Xin
Summary: This paper proposes a flexible structure controller based on type 2 fuzzy reinforcement learning algorithm, dividing state and action spaces and constructing fuzzy rules to improve the effectiveness of dance training.
NEURAL COMPUTING & APPLICATIONS
(2022)
Article
Psychology, Experimental
Anna Czepiel, Lauren K. Fink, Christoph Seibert, Mathias Scharinger, Sonja A. Kotz
Summary: Compared to audio only conditions, audiovisual information enhances the aesthetic experience of music performances, but these effects have not been thoroughly studied in naturalistic settings. Peripheral physiological correlates of aesthetic experiences are not well understood. This study found that participants rated their aesthetic experience higher in the audiovisual condition, and heart rhythm and breathing frequency differed between audiovisual and audio only conditions, suggesting the influence of audiovisual information on aesthetic experiences.
Article
Neurosciences
Brian Mathias, Andrea Waibel, Gesa Hartwigsen, Leona Sureth, Manuela Macedonia, Katja M. Mayer, Katharina von Kriegstein
Summary: The study found that sensorimotor-enriched training can change the representations of L2 words in the motor cortex, thereby facilitating the translation of L2 words. Different training methods have different effects on the translation speed of L2 words.
JOURNAL OF NEUROSCIENCE
(2021)
Article
Psychology, Multidisciplinary
Adam J. Toth, Niall Ramsbottom, Christophe Constantin, Alain Milliet, Mark J. Campbell
Summary: This study aimed to differentiate sensorimotor performance of a key gameplay skill among esports players of different skill levels, quantify the training effect on performance, and investigate the effect of tDCS on performance improvements. The results showed that performance on a single fundamental esport skill can differentiate expertise among novice and skilled players, training can significantly improve performance among all expertise levels, and tDCS accelerates the performance improvements of novice players.
COMPUTERS IN HUMAN BEHAVIOR
(2021)
Article
Computer Science, Information Systems
Minxiao Wang, Ning Yang
Summary: Children with autism spectrum disorder often require long-term and high-quality intervention. Therapists' observation skill is crucial for adjusting intervention strategies based on children's states. To address the shortage of experienced therapists, we propose a data-driven deep learning framework called OBTAIN for therapy training states recognition.
Article
Psychology, Multidisciplinary
Marco Iosa, Fabiano Bini, Franco Marinozzi, Gabriella Antonucci, Simona Pascucci, Giulia Baghini, Valeria Guarino, Stefano Paolucci, Giovanni Morone, Gaetano Tieri
Summary: It has been discovered that the "Michelangelo effect" in virtual reality painting tasks improves performance and reduces fatigue. The relationship between the aesthetic experience of beauty and the specific stimuli of art was unclear. The study found that subjective beauty was negatively correlated with perceived fatigue and errors in artistic stimuli but not in photographs.
Editorial Material
Neurosciences
Rebecca Barnstaple, Janna Protzak, Joseph F. X. DeSouza, Klaus Gramann
Summary: The neuroscience of dance is a growing field focusing on the impact of dance on health and well-being. Researchers face challenges in identifying mechanisms involved in dance due to its multimodal nature, which requires simultaneous engagement of motor and cognitive domains. By utilizing mobile brain/body imaging technology, real-time changes in brain dynamics and behavior during dance can be investigated, offering potential for new insights in this emerging field.
EUROPEAN JOURNAL OF NEUROSCIENCE
(2021)
Review
Neurosciences
Xavier E. Job, Louise P. Kirsch, Malika Auvray
Summary: Spatial cognitive processes may be differently affected by various types of sensory loss. The visual system may be crucial for the development of efficient allocentric representation, but its role in adopting another's spatial perspective remains unclear. On the other hand, the vestibular and proprioceptive systems likely play an important role in anchoring the perceived self to the physical body, facilitating imagined self-rotations required to adopt another's spatial perspective. Findings regarding the influence of disturbed auditory functioning on perspective-taking are inconclusive and await further data.
EXPERIMENTAL BRAIN RESEARCH
(2022)
Article
Psychiatry
Guy Laban, Ziv Ben-Zion, Emily S. Cross
Summary: Post-Traumatic Stress Disorder (PTSD) is a severe psychiatric disorder with significant impact. Although progress has been made in understanding and treating PTSD, there are still challenges in diagnosis and treatment. Social robots could potentially offer meaningful solutions to overcome these challenges.
FRONTIERS IN PSYCHIATRY
(2022)
Article
Computer Science, Artificial Intelligence
James Derek Lomas, Albert Lin, Suzanne Dikker, Deborah Forster, Maria Luce Lupetti, Gijs Huisman, Julika Habekost, Caiseal Beardow, Pankaj Pandey, Nashra Ahmad, Krishna Miyapuram, Tim Mullen, Patrick Cooper, Willem van der Maden, Emily S. Cross
Summary: This article explores the relationship between resonance and human interactions, discussing its physical mechanism and the potential for enhancing resonant experiences in human-robot interactions. It reviews the role of resonance in human cognition and social interactions, as well as resonance-related phenomena in robotics and artificial intelligence. The article concludes by proposing hypotheses for future empirical studies and addressing ethical and aesthetic issues related to resonance in human-robot interactions.
FRONTIERS IN NEUROROBOTICS
(2022)
Article
Multidisciplinary Sciences
Emmanuele Tidoni, Henning Holle, Michele Scandola, Igor Schindler, Loron Hill, Emily S. Cross
Summary: This study compared people's ability to understand the behavior of humans, humanoid robots, and non-human objects through a series of experiments. The results showed that people were faster at inferring the mental content of human agents compared to robotic agents. Additionally, the human-like appearance of non-human agents may engage mentalizing processes.
Article
Psychology, Experimental
Te-Yi Hsieh, Emily S. Cross
Summary: The study examines the impact of robots' emotional displays on human-robot cooperation and suggests that personal factors may outweigh the influence of emotional displays by the robots.
COGNITION & EMOTION
(2022)
Article
Psychology, Experimental
Rebecca A. Smith, Emily S. Cross
Summary: The ability to exchange affective cues is crucial for meaningful social relationships. While progress has been made in understanding verbal and facial communication, the role of human body movement remains incomplete. Researchers have created a library of emotionally expressive whole-body dance movement stimuli to further explore affective communication expressed by human bodily movement.
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
(2023)
Article
Multidisciplinary Sciences
Kohinoor M. Darda, Emily S. Cross
Summary: This study suggests that people generally prefer representational art and tend to have an ingroup bias when it comes to art from their own culture. The preference for representational art is influenced by art expertise, with art-naive participants showing a stronger bias. However, this modulation is only observed among Western participants. These findings highlight the importance of considering culture and art expertise when studying aesthetic appreciation.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Katie Riddoch, Roxanne Hawkins, Emily Cross
Summary: Emerging evidence suggests that modeling social robots on pet dogs, which people form enduring social bonds with, may facilitate long-term engagement. This study surveyed dog owners to identify the behaviors perceived as important for human-dog bonding, resulting in seven categories of behaviors including attunement, communication, consistency and predictability, physical affection, positivity and enthusiasm, proximity, and shared activities.
Article
Robotics
Michele Scandola, Emily S. Cross, Nathan Caruana, Emmanuele Tidoni
Summary: The future of human-robot collaboration depends on people's understanding and prediction of robots' actions. The appearance of robots and contextual information may influence people's ability to anticipate robot behavior. Our research investigated how spatial cues and task instructions modulate people's ability to understand robot actions. The findings suggest that biasing attention towards objects that a robot can interact with can improve people's understanding of humanoid robot behavior.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2023)
Article
Robotics
Te-Yi Hsieh, Bishakha Chaudhury, Emily S. Cross
Summary: Understanding how people socially engage with robots in social settings is crucial. We conducted a study with 70 participants using prisoner's dilemma games, manipulating cooperative incentives to be high or low. While the incentive structure did not predict overall human cooperation, it did influence early round cooperation. Exploratory analyses revealed a tit-for-tat strategy against the robot and prosocial behavior when participants had high scores themselves. These findings contribute to the understanding of human-robot interactions in collaborative contexts.
INTERNATIONAL JOURNAL OF SOCIAL ROBOTICS
(2023)
Article
Multidisciplinary Sciences
Kohinoor Darda, Marion Carre, Emily Cross
Summary: Openly available NLG algorithms have the potential to generate human-like texts, but they also pose ethical challenges in terms of misinformation. This study investigates how people react to algorithmically generated texts, their ability to distinguish them from original texts, and the value they assign to them. The findings reveal that while participants had difficulty distinguishing between the two types of texts, they were more likely to value and preserve original texts compared to those generated by AI.
ROYAL SOCIETY OPEN SCIENCE
(2023)
Article
Multidisciplinary Sciences
Kohinoor M. Darda, Emily S. Cross
Summary: As AI and machine learning advance, art is entering a new world of possibilities and complexities. However, it raises challenging questions about the definition of art, the role of human creativity in an automated world, and the evaluation of artificial art. Through experiments, it has been found that there is bias against computer-generated dance choreography among dance experts and that beliefs about the origin of a dance work bias aesthetic responses. This study has implications for various disciplines including empirical aesthetics, AI, engineering, robotics, and social cognition and neuroscience.
Proceedings Paper
Engineering, Electrical & Electronic
Henry Powell, Guy Laban, Jean-Noel George, Emily S. Cross
Summary: This paper focuses on how different deep learning architectures, trained on various interaction data, can help artificial agents extract meaningful information about people's subjective perceptions in speech-based interactions. The study prioritizes high quality data over complex model architectures and demonstrates that both standard and a novel neural network architecture can successfully extract features related to subjective self-disclosure from speech data.
PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22)
(2022)
Proceedings Paper
Engineering, Electrical & Electronic
Te-Yi Hsieh, Emily S. Cross
Summary: This online study examined people's ability to recognize emotions displayed by a Cozmo robot and investigated how empathic traits influence emotion recognition. The study found high recognition rates for most emotion categories and revealed a significant impact of empathic traits on emotional contagion. Contrary to predictions, participants with higher empathic traits showed lower emotional contagion when watching the robot's videos.
PROCEEDINGS OF THE 2022 17TH ACM/IEEE INTERNATIONAL CONFERENCE ON HUMAN-ROBOT INTERACTION (HRI '22)
(2022)
Proceedings Paper
Computer Science, Cybernetics
Aruna Ramasamy, Damien Faux, Vincent Hayward, Malika Auvray, Xavier Job, Louise Kirsch
Summary: This study used a database of vibratory signals to investigate whether there are latent cues in tactile signals that distinguish self-touch from other-touch. The findings suggest that these cues can be accurately classified using a random forest classifier, regardless of other factors such as pressure, speed, or posture. The results have important implications for various fields, including artificial world creation, social interaction research, and the study of sensory deficits and cognitive conditions.
HAPTICS: SCIENCE, TECHNOLOGY, APPLICATIONS, EUROHAPTICS 2022
(2022)