The Role of the human-robot Interaction in Consumers’ Acceptance of humanoid retail service robots
1. The report should follow this format.
- Title/research subject area
- Presented by (the lecturer’s name)
- Research area: A brief description of the area (around 250 words)
- Relation to Computer Science in general: What other areas in Computer Science and Science, in general, does the area relate to?
2. Research questions and methods: Identify a significant research question in this area. What methods could be used to investigate this question?
Evaluate the effectiveness of these methods. (Around 250 words)
3. General relevance: What relevance does this kind of work have in general? How might it be generally helpful? Are there any possible negative implications? (around 300 words)
4. Assessment criteria
Appropriate format structure and grammar. Clarity of writing.
Appropriate use of citations and references.
Demonstration of understanding of the research areas and literature.
Demonstration of ability to identify research questions.
Demonstration of ability to identify and evaluate research methods.
INTERACTION OF HUMANOID ROBOTS IN RETAIL STORES
Introduction
As a field, Human-Computer Interaction (HCI) has made great advancements by understanding as well as improving “human interactions” along with computer technologies. The interaction of computers with humans has reached the extent that the utility and the value of technology are only appreciated, compromising on the risks that remain alongside. A variety of settings is done on the different kinds of technologies by the HCI usability engineers, researchers, and designers. Multiple indications of the HCI of activities have recently been discovered. HCI research covers a wide range of subjects, including Internet and Internet services, small portable devices, games, and huge networking technologies. This special issue presents autonomous robots and the interactions of the human robot that these robots need, which is a fast-evolving science and a renewed emphasis within HCI. HCI researchers have not yet done much research with robots until recently. The typical list of HCI subjects does not include keywords linked to robots or any human-robot interaction, until recently when it emerged as a theme. This was a reasonable situation as the workhorse robots, as Sebastian Thrun’s introductory essay in this special issue illustrates, are mostly “programmable industrial machines” that pose little hurdles in human-computer interaction.
Problem Statement
Now, gains in robotic technology have been due to contractual advances in artificial intelligence, computer technology, understanding, and remote controls voice simulation, all of which have major implications for the human-computer interaction industry. The autonomous mobile robots recognize and trace the user to respond to the questions or commands without any hindrances. These autonomous robots will be required to perform some social, intellectual, social, and physical activities. Such robots should, in theory, deliver a pleasant experience for humans, acquire their assistance, foster balanced rather than overly reliant behavior in clients, service users, and colleagues, and provide suitable feedback to distant users and other robotic system participants. Though roboticists are getting hands-on experience with portable, autonomous robots in places like museums (Thrun et al., 2000), humans still lack a fundamental grasp of how to build robots that can achieve these higher aspirations.
Research Questions
- How can robots be used for professional service?
- Can automated robots prove to be safer for younger kids and elderly people?
- Can robots perform emergency rescue operations?
Research Methodology
Despite the several previous as well as continuing initiatives in robotics that were linked to human-robot interaction, the majority of the progress published literature on the subject is focused on “technological improvements in robotics and computer science” that enable human-robot interaction. The problem of Human-computer Interaction has been studied by six researchers.
A technical context of the issue has been provided by Sebastian Thrun. In this article, the author examines the position of the “art in robotics”, predicting its future developments and its highlights amid several robotic difficulties that might affect the human-robot interaction (Pineau, Thrun, and Fox). The author proposes a comprehensive basis for HCI scientists working on human-robot interaction, one which will distinguish between three types of robots. The first are the ones that are used in industries called the industrial robots, the second is the “professional service robots” that will function in working organizations as well as in the open, interacting with the public, and also for personal service robots designed for private use.
An empirical article studies the “theoretical ecological framework” designed by Forlizzi, DiSalvo, and Gemperle, for elderly people to be used in their personal spaces. The elderly person’s life is analyzed inside the house using a local ecology that would help them know the products and services that would be needed by the elderly (Kim, Park, and Lee, 119-130). In this article, a fascinating ethnography has been explored to study the usefulness of the products of old people for both the healthy and the sick.
Field trail robots were created for the study field by Kanda, Hirano, and Eaton. The study was carried out to test the advantages and the risks that would be involved in letting the kids learn with the robots (Kachisa, and Gustavsson). The test resulted in the elementary school kids interacting with the robot and also absorbing knowledge from them.
An “opportunistic field study of research” was conducted by Burke, Murphy, Coovert, and Riddle used rescued robots for training and exercise (Wright and Foster). This article does not just provide an intriguing overview of the humans and robots involved in emergency rescue operations but also highlights some of the most pressing “human-robot interaction” issues in the field.
Yanco, Drury, and Scholtz, also provide a different empirical perspective on the interactions of the “research and rescue robots” (Malik, and Bilberg,). They used an annual “IEEE robotics competition for Search and rescue” robots, which was organized for stimulating progress in this sector.
An experimental laboratory study was conducted by the authors, namely, Hinds, Roberts, and Jones who studies the work of the robots for them to conduct some professional tasks (Antonioni, et., al). This particular experiment was fully controlled as a remote-controlled humanoid machine, that could carry out professional tasks for humans.
These publications constitute one of the very first organized scientific investigations in “human-robot interaction” when studied together. We feel that much more teamwork between “research scientists, behavioral and social researchers, and designers” is critical to moving the area of “human-robot interaction” forward. Behavioral scientists and others should contribute to the theory as well as to the methodologies used, while roboticists understand the science and its implications. Even if you don’t live near a robotics lab, there seem to be lots of opportunities.
Conclusion
The purpose of this issue has always been to broaden the scope of research by aiming at social elements, cognitive elements, and behavioral elements of human-robot interaction, as well as the social situations in which they might occur. We sought submissions of human-robot interaction which looked at it through its societal surroundings. Another bias was also imposed due to the scarcity of systematic empirical research on the subject. Prioritization of systematic scientific research and interdisciplinary collaborations. Authors were also asked to consider “the social and ethical challenges” created by the use of robots in the workplace or regular activities. It is because the case of its history of integrating “behavioral and social science” to technical challenges, as well as multidisciplinary research in this area and design, that “the HCI community” is an exceptionally better match for such a type of analysis.
References
Antonioni, E., Suriani, V., Massa, N. and Nardi, D., 2020, October. Autonomous and remote-controlled humanoid robot for fitness training. In Companion Publication of the 2020 International Conference on Multimodal Interaction (pp. 235-239).
Kachisa, D. and Gustavsson, L., A ROBOT AS A TOOL FOR COGNITION.
Kim, M., Park, J. and Lee, M., 2021. The Effects of Chatbot Anthropomorphism and Self-disclosure on Mobile Fashion Consumers’ Intention to Use Chatbot Services. Journal of Fashion Business, 25(6), pp.119-130.
Malik, A.A. and Bilberg, A., 2019. Developing a reference model for human–robot interaction. International Journal on Interactive Design and Manufacturing (IJIDeM), 13(4), pp.1541-1547.
Pineau, J., Thrun, S. and Fox, D., Concurrent Mapping and Navigation with Mobile Robots.
Wright, N.A. and Foster, L., 2018. Improving disaster response through the science of work. International journal of disaster risk reduction, 31, pp.112-120.
