Impacts of Human Robot Proxemics on Human Concentration-Training Games with Humanoid Robots

Liu, Li; Liu, Yangguang; Gao, Xiao‐Zhi

doi:10.3390/healthcare9070894

Cited by 3 publications

(4 citation statements)

References 45 publications

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“…Combining gestures and speech, as suggested in [39], enhances the robot's engagement and naturalness, making it more appealing and effective. In [60] the potential for improving human-robot interaction by modulating robot behavior to express different moods was also indicated.…”

Section: Main Empirical Resultsmentioning

confidence: 99%

“…Studies have explored physical and psychological distances between humans and robots in various contexts, such as movement within a room. The extent and speed of movements, as well as distances during interactions, have been scrutinized to understand how these factors affect communication and engagement [42,60].…”

Section: Types Of Nonverbal Communication Examinedmentioning

confidence: 99%

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Nonverbal Behavior of Service Robots in Social Interactions – A Survey on Recent Studies

Leoste,

Marmor,

Heidmets

2024

Preprint

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This study presents a literature review focused on nonverbal communication in human-robot interaction (HRI) that involves service robots with social capabilities. We aim to list the types of robots used and nonverbal communication cues examined in the reviewed studies; and the main research objectives, participant characteristics, data collection methods, and primary findings of these studies. To achieve this, we conducted a literature review of 39 relevant open access academic papers published from 2006 to 2023 that examined the utilization of nonverbal cues by both humans and robots during HRI. The results suggest that enhancing the quality of communication between humans and service robots must be improved, while there are several aspects that require more thorough exploring, needed to strengthen robot self-efficacy, trust and trustworthiness in HRI or overcome cultural differences. The results emphasize the importance of nonverbal communication in shaping the dynamics of interactions between humans and service robots.

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Section: Main Empirical Resultsmentioning

confidence: 99%

Section: Types Of Nonverbal Communication Examinedmentioning

confidence: 99%

Nonverbal Behavior of Service Robots in Social Interactions – A Survey on Recent Studies

Leoste,

Marmor,

Heidmets

2024

Preprint

View full text Add to dashboard Cite

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“…In the experiments, we adopted HRI games based on gesture recognition. The gesture recognition algorithm consisted of network training and gesture recognition [ 37 ]. In the network training stage, the improved feature extraction network was used to fit the feature distribution of training samples, and the fitting error was estimated according to the deviation between the gesture label and the network output; that is, the recognition result and the updating direction of network weights at all levels were determined by calculating the error gradient.…”

Section: Resultsmentioning

confidence: 99%

“…The effect of these factors on the training effectiveness of the concentration game was analyzed. We specifically discussed the impact of physical distance and orientation on gesture recognition accuracy in our previously published paper [ 37 ]. In order to compare and analyze the data, we performed Z-Score normalization on the children’s game scores, which are shown in Figure 6 and Figure 7 .…”

Section: Resultsmentioning

confidence: 99%

An Immersive Human-Robot Interactive Game Framework Based on Deep Learning for Children’s Concentration Training

Liu

Gao

et al. 2022

Healthcare

Self Cite

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In order to alleviate bottlenecks such as the lack of professional teachers, inattention during training processes,and low effectiveness in concentration training, we have proposed an immersive human–robot interactive (HRI) game framework based on deep learning for children’s concentration training and demonstrated its use through human–robot interactive games based on gesture recognition. The HRI game framework includes four functional modules: video data acquisition, image recognition modeling, a deep learning algorithm (YOLOv5), and information feedback. First, we built a gesture recognition model containing 10,000 pictures of children’s gestures, using the YOLOv5 algorithm. The average accuracy in recognition trainingwas 98.7%. Second, we recruited 120 children with attention deficits (aged from 9 to 12 years) to play the HRI games, including 60 girls and 60 boys. In the HRI game experiment, we obtained 8640 sample data, which were normalized and processed.According to the results, we found that the girls had better visual short-term memory and a shorter response time than boys. The research results showed that HRI games had a high efficacy, convenience, and full freedom, making them appropriate for children’s concentration training.

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Comfortability Analysis Under a Human–Robot Interaction Perspective

Redondo,

Niewiadomski,

Rea

et al. 2023

Int J of Soc Robotics

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Interactions entail a tangled mix of emotional states that emerge between the people who are communicating. Being capable of comprehending these states help us to adapt to our partner’s needs enhancing the interaction. In the same fashion, we believe that robots capable of such skills would be better integrated in society. Hence, this paper tackles the internal state that focuses on the unfolding of any social exchange: Comfortability. It explores whether a humanoid robot can have an impact on humans Comfortability and explores the way people might behave. To this aim, the iCub robot interviewed 29 non-HRI researchers for a real column of the IIT Opentalk online magazine. During the interview the robot complimented, ignored, interrupted, and insulted the participant with the intention of making them feel opposite Comfortability levels. The results concluded that a humanoid robot can affect people’s Comfortability highlighting that not everyone perceives, assimilates, and reacts to the same situations in the same way. The findings suggest that self-reports and Valence/Arousal estimations are not reliable measures to determine someone’s Comfortability and that external factors (e.g., attitude towards robots or the robot’s perception) might affect it. On top of that, a list of 28 visual features associated with low Comfortability levels is included, providing support to keep unraveling Comfortability in further studies.

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Impacts of Human Robot Proxemics on Human Concentration-Training Games with Humanoid Robots

Cited by 3 publications

References 45 publications

Nonverbal Behavior of Service Robots in Social Interactions – A Survey on Recent Studies

Nonverbal Behavior of Service Robots in Social Interactions – A Survey on Recent Studies

An Immersive Human-Robot Interactive Game Framework Based on Deep Learning for Children’s Concentration Training

Comfortability Analysis Under a Human–Robot Interaction Perspective

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