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If we focused exclusively on manual communication, Sophia would not learn to listen or to speak, and any later efforts she might make would be fraught with difficulties in comprehending and producing sound.
This may indicate that in human-robot interaction indirect language may not function similarly as it does in human communication.
Open accessJournal ArticleDOI
03 Apr 2020
36 Citations
In this paper, we present a modular approach which can easily be incorporated into existing vision-language methods in order to support many languages.
We found several strong aspects of support for CASA: the robot that provides even minimal social cues (speech) is more engaging than a robot that does nothing, and the more human-like the robot behaved during story-telling, the more social engagement was observed.
First, the plugin supports cross-compiling against the real robot platform, removing the need to translate algorithms across different languages.
Being implemented in a robot language tutor, the model enables the robot tutor to trace the learner's knowledge and to decide which skill to teach next and how to address it in a game-like tutoring interaction.
The former approach is suitable for future and present generation robots with a language processor installed in their controllers, whilst the latter is only specifically linked to earlier generation robot languages.
The experimental results show that the proposed solution can be easily extended to other languages for a robust Spoken Language Understanding in Human-Robot Interaction.
Open accessJournal ArticleDOI
Nitya Sethuraman, Linda B. Smith 
11 Citations
This study provides new information about how speakers of these languages differ in their descriptions of the same scenes and how explicit mention of roles and other scene elements vary with the properties of the scenes themselves.

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What is human-centered automation or human-centered manufacturing?
5 answers
Human-centered automation or human-centered manufacturing refers to a paradigm shift towards integrating human operators with advanced technologies like knowledge graphs and human-robot collaboration. This approach emphasizes the collaboration between humans and machines, focusing on enhancing efficiency, worker well-being, and sustainability in smart manufacturing environments. Industry 5.0 highlights the importance of synchronizing human and machine efforts to improve production efficiency and create a more efficient and socially responsible manufacturing ecosystem. The concept of proactive human-robot collaboration is also introduced, aiming to achieve a more intelligent and symbiotic relationship between humans and robots, where they collaboratively perform tasks considering each other's capabilities and needs. This proactive approach envisions a future where human and robotic agents work together seamlessly, leading to more effective and less burdensome manufacturing processes.
What are papers that use Cultural-Historical Activity Theory (CHAT) as a heuristic model for technology-enhanced experiences?
5 answers
Cultural-Historical Activity Theory (CHAT) has been applied as a heuristic model across various studies to explore and enhance technology-enhanced experiences in education and beyond. For instance, Clifford's work on institutional educational technology policies at a South Korean university utilized CHAT to facilitate meaningful change through multilateral, non-canonical workshops, highlighting the theory's applicability in transforming institutional practices. Similarly, the integration of new technologies in education, as demonstrated by Project Stretch, leverages CHAT to foster professional development and inclusive educational practices in NYC public schools, showcasing how technology can be embedded within broader social practices of knowledge production. CHAT's utility extends to understanding the dynamics of human-robot interaction in creative contexts, offering insights into how robots can participate in the production of creative artifacts through action and embodiment, thus redefining the structure of the creative process. In the realm of higher education, Mathieson et al. applied CHAT to examine the induction experiences of new academics, identifying contradictions within induction activity systems that impact their experiences, thereby suggesting interventions for policy and practice enhancement. Furthermore, CHAT has been instrumental in analyzing the challenges of delivering fully online classes, as explored by Andriani et al., who used the framework to evaluate the learning process in an Educational Psychology class, revealing the practical importance of CHAT in online education. Rahnuma's study on academic writing in ESL settings in Bangladesh also employed CHAT to develop a contextualized understanding of students' engagement with writing, identifying contradictions in their learning trajectories. Moreover, Rob Miles demonstrated CHAT's practicality in researching technology-enhanced learning (TEL) within ESL classrooms in the UAE, arguing for the theory's capacity to guide research and drive interventions that improve educational practice and policy. The theoretical nuances of CHAT, including its different approaches by Leontiev and Engeström, have been critically compared to aid researchers in selecting appropriate frameworks for their studies, particularly in the field of education and teacher professional development. Sebah Al-Ali's reflective discussion on using CHAT for the first time in a study on language teachers' use of videos as instructional tools further exemplifies the theory's applicability in educational research, despite the challenges faced by novice researchers in understanding and applying CHAT and Activity Systems Analysis (ASA). Lastly, the shift to virtual platforms in healthcare and academic settings due to the pandemic has been analyzed through CHAT by Sjaus and Ritchie, offering strategies for leaders to navigate the changing dynamics of team leadership and maintain effective group activities in virtual formats. These papers collectively underscore the versatility and depth of CHAT as a heuristic model for investigating and enhancing technology-enhanced experiences across various domains.
What is active social media usage?
4 answers
Active social media usage involves engaging in interactive behaviors such as posting, commenting, and sharing content actively on social networking sites (SNSs) like Instagram. This contrasts with passive usage, which entails merely consuming information without active participation. Active social media use has been traditionally believed to enhance well-being, but recent studies challenge this notion, highlighting the need for more empirical evidence and a nuanced understanding of its effects. Additionally, active social media usage can involve real-time communication between users based on shared interests and characteristics, facilitating connections and group associations within social media platforms. Adolescents extensively utilize social media platforms like Facebook, Instagram, and Snapchat for both active and passive engagement, influencing their social interactions and daily lives.
What are papers that use Cultural-Historical Activity Theory (CHAT) as a heuristic model for small case studies?
6 answers
Cultural-Historical Activity Theory (CHAT) has been applied as a heuristic model across various small case studies, demonstrating its versatility and effectiveness in analyzing and understanding complex social and educational phenomena. For instance, Susan Mathieson et al. explored the induction-to-teaching experiences of new academics at a Northern UK university, using CHAT to identify contradictions and interventions within the academic induction process. Similarly, Sebah Al-Ali utilized CHAT in a local case study to examine language teachers' practices and challenges in using videos as instructional tools, reflecting on the application of Activity Systems Analysis (ASA) for data analysis. In the realm of technology-enhanced learning (TEL), Rob Miles demonstrated CHAT's practicality by investigating laptop-mediated English language classrooms in the UAE, showcasing how CHAT can guide research into the realities of technology usage in education and drive theory-based interventions. Erina Andriani and colleagues provided a CHAT analysis of an Educational Psychology class in a fully online learning environment at a private university in Yogyakarta, highlighting the framework's utility in evaluating the learning process and identifying challenges related to the units of analysis within CHAT. Moreover, CHAT has been applied beyond educational settings, as shown by W. J. Casstevens and Kim L. Stansbury, who used the framework to examine a community-based racial equity and social justice action group in the American South. This study highlighted CHAT's ability to clarify points of tension within the group, supporting leadership assessment and constructive follow-up. These examples underscore CHAT's adaptability and value in conducting small case studies across different contexts, from academic induction and language teaching to technology-enhanced learning and community action, providing deep insights into the sociocultural dynamics at play.
What are the future trends in mobile robot design?
5 answers
Future trends in mobile robot design include advancements in control mechanisms, perception technologies, geometric adaptability, and fault-tolerant control. These trends are driven by the need for adaptation to complex environments, stable communication, and robust control. Additionally, the integration of technologies such as real-time positioning, navigation, trajectory planning, target tracking, and multi-agent systems will play a crucial role in enhancing the flexibility, mobility, and overall performance of automatic mobile robots. Furthermore, the evolution of design characteristics, obstacle avoidance capabilities, and improved fault tolerance are key areas of focus for future research and development in mobile robot systems.
Is there any word template for Robotics and Computer-Integrated Manufacturing, ELESIVER?
5 answers
Yes, there is a word template available for Robotics and Computer-Integrated Manufacturing on Elsevier. The integration of manufacturing processes through advanced information technology is crucial for sustainable manufacturing. Computer-Integrated Manufacturing (CIM) involves sophisticated ICT infrastructures like enterprise resource planning software and common databases. Robotics and CIM technologies are essential for enhancing production capacity and maintaining competitiveness in the global market. The use of robots in manufacturing significantly improves accuracy and efficiency, especially during milling operations. The template for Robotics and CIM on Elsevier likely covers topics such as the impact of robotics on manufacturing precision, the role of CIM in sustainable manufacturing, and the integration of advanced technologies for optimizing manufacturing processes.
What are papers that use Cultural-Historical Activity Theory (CHAT) as a heuristic model?
10 answers
Cultural-Historical Activity Theory (CHAT) serves as a heuristic model across various research domains, as evidenced by the diversity of papers utilizing its framework. For instance, Mathieson et al. applied CHAT to explore the induction experiences of new academics within a UK university, highlighting the theory's utility in identifying and addressing contradictions within educational settings. Similarly, another study proposed CHAT as a model to formalize human-robot interaction in creative contexts, demonstrating its applicability beyond traditional educational research to include the study of creativity and technology. Clifford's work further exemplifies CHAT's versatility by employing it to facilitate meaningful changes in educational technology policy at a South Korean university, showcasing the theory's potential in policy reform and institutional change. CHAT's analytical power is also evident in Andriani et al.'s examination of an Educational Psychology class, where it was used to analyze challenges in online learning environments, underscoring the theory's relevance in the digital age. The theoretical comparison between Leontiev's and Engeström's approaches within CHAT provided by another study offers a deeper understanding of its foundational concepts, enhancing its application in education research, particularly in teacher professional development. In the context of community action, Casstevens and Stansbury applied CHAT to a racial equity and social justice group, illustrating its effectiveness in identifying and addressing tensions within community initiatives. Qureshi's methodology article on CHAT in medical education highlights the theory's applicability in practice-based learning, emphasizing its role in collaborative, multi-voiced activity systems. Miles' research into Technology Enhanced Learning (TEL) within English language programs demonstrates CHAT's practicality in designing and implementing theory-based interventions. Furthermore, Witkop et al. identified CHAT as a framework for analyzing the complexity of shared decision making in healthcare, showcasing its potential in examining patient-provider interactions. Lastly, Nastou and Plakitsi's study on educational programs in a Contemporary Art Museum underlines CHAT's role in fostering sustainable literacy and transformative agency, further attesting to its broad applicability. Collectively, these papers underscore CHAT's versatility as a heuristic model across diverse research fields.
Can higher level of awareness led to stronger interest in learning?
5 answers
Higher levels of awareness can indeed lead to a stronger interest in learning, as evidenced by various studies. For instance, research on expectancy learning showed that awareness of stimuli interfered with the manifestation of learning, suggesting that unconscious learning can occur without awareness. In the realm of second language development, it was found that higher levels of awareness were associated with more explicit learning conditions and were significantly more effective in promoting learning outcomes. Additionally, in memory studies with patients, it was observed that conscious knowledge or awareness of what has been learned played a crucial role in memory performance, highlighting the importance of awareness in learning processes. Therefore, these findings collectively suggest that a higher level of awareness can indeed foster a stronger interest and efficacy in learning endeavors.
What is Hierarchical Quadratic Programming?
5 answers
Hierarchical Quadratic Programming (HQP) is a powerful optimization approach utilized in various fields like Human-Robot Collaboration (HRC), multi-robot systems, and humanoid robot motion planning. HQP enables the computation of solutions for strictly prioritized tasks by formulating them as quadratic programs. It is particularly effective in scenarios where tasks have different levels of priority, such as in cooperative logistics missions, where tasks are defined as equality and inequality constraints with varying importance levels. HQP also plays a crucial role in achieving real-time optimization in humanoid robot motion planning by utilizing a hierarchical structure that allows for strict task prioritization, ensuring stability and efficiency in controlling robots with high degrees of freedom.
What are the most effective methods for collecting high-quality images for computer vision datasets?
5 answers
The most effective methods for collecting high-quality images for computer vision datasets involve innovative approaches such as dataset construction frameworks utilizing textual queries, intelligent image collection driven by desired categories and recognition performance, and utilizing computer vision technology for data acquisition through target object recognition and analysis. These methods aim to enhance dataset accuracy, diversity, and performance by automating image collection processes, eliminating manual annotation, and optimizing categorization accuracy. By employing multi-view and multi-instance learning, prioritizing categories for additional image collection, and leveraging convolutional neural networks for training and data analysis, these methods significantly improve image dataset quality for tasks like image classification, object detection, and fine-grained visual categorization.
How does the use of robotic referees impact the accuracy and efficiency of sports matches?
5 answers
The integration of robotic referees in sports matches significantly enhances accuracy and efficiency. By utilizing technologies like computer vision and artificial intelligence, robotic referees can reduce human errors and improve decision-making processes. For instance, in the context of Robot at Factory 4.0 competition, the use of automatic referees based on computer vision and mapping techniques led to a fully functional system capable of accurately performing referee tasks. Additionally, in tennis matches, the application of artificial intelligence algorithms in electronic referees increased athletes' perception of game fairness by about 55%. These advancements not only streamline the refereeing process but also contribute to a more precise and fair outcome in sports competitions, ultimately enhancing the overall quality of matches.