scispace - formally typeset
Search or ask a question

How has human-robot interaction affected value co-creation process? 


Best insight from top research papers

Human-robot interaction has had a significant impact on the value co-creation process. The physical embodiment of social robots allows for the study of how creative artifacts emerge from robots' actions and engagements with the material and social world, leading to the production of novel and useful artifacts . Incorporating human aspects into technology-based efforts focused on value co-creation can result in the effective utilization of collaborative robots and humanoids in smart service systems designs . The direct interaction between humans and robots influences user opinions of robot roles and value-in-use, highlighting the changing nature of service encounters and the need for marketers to promote positive interactions . Co-creation activities that enable children to express themselves and have their expressions acknowledged by the robot facilitate co-regulation and increase acceptance of the robot . In the context of full-service hotels, the perceived privacy, functional benefits, and appearance of service robots positively influence consumers' attitude towards adoption and acceptance of the robots .

Answers from top 5 papers

More filters
Papers (5)Insight
The provided paper does not directly address the impact of human-robot interaction on the value co-creation process.
The paper does not directly answer the question about how human-robot interaction has affected the value co-creation process. The paper primarily focuses on the nature of the direct interaction between humans and robots and the implications for value co-creation. It discusses the importance of understanding customers' perceptions of robots in specific service contexts.
The provided paper does not directly discuss the impact of human-robot interaction on the value co-creation process.
The paper does not directly discuss the impact of human-robot interaction on the value co-creation process.
The paper highlights that incorporating human aspects into technology-based efforts focused on value co-creation can lead to effective human-robot interaction. It suggests that collaborative robots and humanoids can serve as integral parts of smart service systems designs.

Related Questions

How robotic gastronomic experience affect customer emotional value?5 answersRobotic gastronomic experiences impact customer emotional value by influencing positive emotions and behavioral intentions. Studies on robot barista coffee shops (RBCS) in South Korea and Taiwan reveal that factors like atmosphere, consumer return on investment (CROI), emotional, financial, and rarity elements significantly affect customer satisfaction and attitudes towards robotic restaurants. Additionally, research on AI service robots in China emphasizes that emotional (perceived friendliness and coolness) and functional (perceived safety and competence) attributes of human-robot interactions significantly influence customers' attitudes towards using service robots, leading to meaningful engagement outcomes. These findings highlight the importance of creating positive emotional experiences through robotic gastronomic services to enhance customer satisfaction and drive behavioral intentions.
What are the importance of value co-creation in education?5 answersValue co-creation in education is important for several reasons. Firstly, it enhances the interaction between educational institutions and students, leading to improved academic performance and higher levels of student satisfaction and engagement. Secondly, value co-creation allows educational units and students to work together to optimize their educational experience and actively participate in the learning process. Thirdly, it promotes the development of new value propositions and innovative approaches in education, especially in response to disruptions such as the COVID-19 pandemic. Fourthly, value co-creation helps in maintaining the quality of education and facing competition in the private education sector. Lastly, it enables the design and development of user-centered resources and programs that better address the needs and preferences of students, resulting in more effective and satisfying educational experiences.
How can human-robot collaboration be improved?5 answersHuman-robot collaboration can be improved by designing interaction interfaces that are natural, easy to use, and meaningful for robotic tasks. Incorporating Large Language Models (LLMs) like ChatGPT in robots can significantly increase trust in human-robot collaboration. The ability of ChatGPT to understand human language nuances and respond appropriately helps build a more natural and intuitive interaction. Additionally, optimizing the design of shared spaces, such as in a kitchen, can improve human-robot collaboration by satisfying both human preferences and robot efficiency. By computing the optimal placement of counters and considering kitchen design rules, noticeable performance improvements in human-robot collaboration can be achieved.
Why Experiential Value in Human-AI Interaction is important?5 answersExperiential value in human-AI interaction is important because it helps to overcome the limitations of explanations in AI systems and promotes transparency and collaboration between humans and machines. By using art as a medium, artists can make the mechanisms and reasoning of AI systems more transparent and decipherable, making the boundaries of these systems visible. Additionally, experiential AI can explore new configurations of humans and algorithms, mapping the interactions and inter-agencies between people and machines. This helps to understand the complex causal chains in environments with AI components and raises important questions about data collection, algorithm selection, and human conditioning in algorithmic processes. Overall, experiential value in human-AI interaction enhances our comprehension of AI systems and fosters a more collaborative and transparent relationship between humans and machines.
What are the key components of value co-creation?5 answersValue co-creation involves several key components. Firstly, it requires the inclusion of diverse perspectives and voices, particularly those that have been marginalized or unacknowledged in the past. Secondly, value co-creation involves collaboration and synergy among all stakeholders, including customers, suppliers, intermediaries, and the public sector. Thirdly, the process of value co-creation involves the exchange of information, knowledge, and resources between consumers and retailers. Additionally, value co-creation requires the implementation of cross-sectoral partnerships and network management in order to achieve public value. Finally, value co-creation can be facilitated through the use of collaborative innovation practices, such as co-creating new products or solutions through collaboration.
How to manage the co-creation value?4 answersTo manage the co-creation value, organizations need to focus on several key activities. Firstly, it is important to define public value, mobilize support, and build capacity. This involves understanding the needs and expectations of stakeholders and involving them in the problem-solving process. Secondly, project managers should be critical about the type of value co-creation strategy they use to engage project stakeholders, ensuring that it does not sacrifice success. Additionally, when bringing together individuals of diverse perspectives in a research team, adaptations such as the inclusion of a 'cultural broker', cultural governance, and the addition of an evaluation pillar may be necessary. Finally, in supply chain enterprises, managing co-creation value involves considering supply chain flexibility management costs, flexible benefits, unit product costs, and supply chain risks to achieve optimal flexibility management and value co-creation.

See what other people are reading

How user relation management can accelerate library services?
5 answers
User Relationship Management (URM) plays a crucial role in accelerating library services by focusing on understanding and meeting user needs effectively. Libraries, especially in academic settings, are evolving to offer user-centric services through methodologies like service design. Implementing Customer Relationship Management (CRM) in libraries can enhance user satisfaction, loyalty, and positive word-of-mouth, benefiting both users and service providers. By addressing unsatisfied user needs, negative experiences, and utilizing modern approaches like social media platforms and dynamic websites, libraries can improve user experiences and increase patronage, particularly in the technology age. Libraries that adopt a relationship management approach, emphasizing trust, openness, involvement, investment, and commitment, can build strong connections with their communities, ensuring relevance and engagement.
Issue faced by Halal International Logistics in halal SMEs
5 answers
Halal International Logistics in halal SMEs face various challenges. These include obstacles such as complexity, cost, and supplier availability, as well as low demand and standards for cost-effectiveness. Additionally, the lack of visibility in tracking containers' distribution flow, managing returned containers, and ensuring segregation between Halal and non-Halal products poses a risk to product integrity. Furthermore, the need for a robust traceability system in Halal logistics to track and trace products throughout the supply chain is crucial to address trust issues among consumers. SMEs in the food industry also encounter weaknesses like a limited skilled workforce and lack of industrial collaboration in halal logistics. These challenges highlight the importance of enhancing Halal logistics systems to ensure compliance and integrity in the supply chain.
What are the current trends and challenges in education management?
5 answers
Current trends in education management include the increasing role of technology, the shift towards online learning, and the importance of professional development and data-driven decision-making. Challenges in education management encompass the need for adapting to remote learning, ensuring quality standards in online education, providing technical support for students and staff, and addressing issues like unstable internet access and lack of equipment. Additionally, the interdisciplinary nature of educational management, the focus on innovation and creativity in training education managers, and the impact of socio-economic processes on educational activities are key aspects to consider. The evolving landscape of education management requires a deep understanding of complex systems, effective leadership, and a culture of innovation to navigate through these trends and challenges successfully.
What are the most used AI tools by higher education teachers?
5 answers
In higher education, teachers commonly utilize various AI tools to enhance teaching practices. Some of the most used AI tools include Case Based Reasoning (CBR), Artificial Intelligence (AI), Intelligent Tutoring Systems (ITS), and extreme learning machine (ELM) technique. These tools offer advantages such as automating tasks, improving performance, adapting learning to student needs, and providing personalized tutoring services. Additionally, Large Language Models (LLMs) and conversational-style generative AI like ChatGPT are also gaining prominence in higher education, offering opportunities for educators to create supportive learning environments and innovative assessment designs. By leveraging these AI tools, teachers can optimize the teaching and learning process, leading to more efficient and effective educational models in higher education.
How does nonverbal communication impact the effectiveness of education in Malaysia?
5 answers
Nonverbal communication significantly impacts education effectiveness in Malaysia. Studies show that nonverbal cues, such as gestures, eye contact, and emotions, play a crucial role in teaching and learning processes. Teachers utilizing nonverbal communication methods like hand gestures and spatial awareness can enhance student understanding and engagement, ultimately improving learning outcomes. Additionally, incorporating nonverbal communication skills alongside verbal skills through innovative approaches like "Dubslinguistic" has been proven to enhance pupils' communication abilities in both aspects, leading to better overall communication skills among students. Furthermore, the competency of Arabic debaters in performance is closely linked to their effective use of nonverbal communication during debates, highlighting the importance of nonverbal cues in conveying messages and influencing audiences.
How does promodel helps the company in queung?
4 answers
ProModel aids companies in managing queues efficiently by utilizing simulation technology to identify and address bottlenecks in processes. For instance, in the context of toll road management, ProModel simulations helped optimize automatic machine utilization, reducing vehicle queues significantly. Additionally, ProModel's simulation capabilities extend to production processes, where it assists in waste minimization by visualizing operations and identifying critical areas for improvement. Moreover, ProModel's applications are not limited to queue management; it also offers predictive analytics for various sectors, including project management and logistics synchronization. By incorporating ProModel simulations, companies can enhance resource planning, streamline operations, and ultimately improve customer satisfaction by minimizing queues and optimizing processes.
How does the use of artificial intelligence influence students’ learning?
5 answers
The use of artificial intelligence (AI) significantly impacts students' learning by enhancing their academic performance, predicting final exam results based on participation data, and creating adaptive learning experiences. Research shows that 93.2% of college students are eager to utilize AI tools to improve their learning. AI-driven analysis of students' participation data helps establish models predicting final exam results, aiding teachers in adjusting teaching methods for better learning outcomes. AI-assisted learning considers various factors like students' backgrounds and learning styles to create personalized and effective learning experiences. Additionally, the application of AI in education, validated through reliable scales, supports the development of students' abilities and provides a scientific basis for utilizing AI in universities.
How does the insolvency and bankruptcy code is better for winding up process?
4 answers
The Insolvency and Bankruptcy Code (IBC) provides a comprehensive framework for the winding-up process by consolidating various insolvency laws into a single law, unlike previous fragmented legislations. It emphasizes the rehabilitation and restructuring of companies facing insolvency, ensuring a robust mechanism for revival. The IBC shifts the focus from debtor-driven to creditor-driven mechanisms, empowering financial creditors significantly in the process. However, challenges such as differential treatment of creditors, excessive discretionary indulgence from adjudicatory authorities, and lack of accountability of insolvency professionals need to be addressed for the successful implementation of the Code. The IBC's approach of involving insolvency practitioners to formulate restructuring plans within strict timelines enhances the efficiency of the winding-up process.
What is communication technology?
4 answers
Communication technology encompasses various hardware and software technologies used in transmitting information efficiently. It aims to enhance information exchanges by humanizing electronic experiences and meeting users' needs effectively. In education, information and communication technologies (ICT) play a crucial role by introducing new methods to engage students, increase academic effectiveness, and boost motivation. These technologies facilitate the dissemination, processing, and presentation of information, impacting various aspects of human life, including education. Examples of modern communication technologies include social media, telemedicine, chatbots, and extended reality, which reflect fundamental aspects of human interaction in digitized solutions for health-related issues. Overall, communication technologies revolutionize how information is exchanged, making interactions more efficient and convenient in diverse fields like education and healthcare.
What is the current state of art for fish behavior recognition?
4 answers
The current state of the art for fish behavior recognition involves the application of deep learning techniques to analyze fish behavior efficiently and accurately. Deep learning models, such as the You Only Look Once version 3 Lite (YOLOv3-Lite) network and the dual-stream 3D convolutional neural network (DSC3D), have been developed to detect and track fish movements, categorize species, and recognize various behavior states of fish schools with high precision. These advancements enable real-time recognition of fish behavior, essential for monitoring fish health, welfare, and productivity in aquaculture settings. The integration of artificial intelligence (AI) tools with fish tracking systems is crucial for enhancing gear selectivity, improving fishing policies, and achieving sustainable aquaculture goals.
Cancellation rate of ride-hailing services
5 answers
The cancellation rate of ride-hailing services is influenced by various factors such as travel time, distance between vehicle and passengers, road congestion, and alternative transportation options. Factors like ride distance, waiting time, and penalty strategies also play a significant role in customer confirmed-order cancellation behavior. The presence of idle taxis during the waiting period is a key factor leading to order cancellations in online car-hailing services. In a duopoly market, service arrival time uncertainty affects order cancellations, leading to wasteful congestion and the need for penalty regulations. Matching dynamics between passengers and drivers impact the pick-up time, affecting the likelihood of cancellations due to lengthy waiting times. These insights highlight the complexity of factors influencing the cancellation rate in ride-hailing services.