Robots in Service and Nursing Care - An Investigation into Japan’s Robot Use and Development

Postponed access: the file will be accessible after 2020-11-30We are currently seeing a rapid growth in the investment and development of robots to assist or replace human workers and efforts in many aspects of life. Due to Japan’s proportionally large and growing elderly population along with a shrinking workforce, the Japanese government has chosen to promote the research, development, and use of robots in fields such as nursing care. Other countries are also facing the same problems as Japan but have not chosen to promote the alternative futuristic solution to the same extent. In a pursuit to better understand the impact that robots already have and will have on society and everyday life, we have researched the topic of assistive robots in the service and nursing care context. Through a design science framework and mixed methods approach, performing semi-structured interviews with robot developers, professors in robotics and nursing care staff, observations on the use of robots in real-life settings, case studies, and one experiment, we have developed a comprehensive analysis and understanding of the research problem. To analyze the data, content analysis and the grounded theory were used. An experiment and two case studies were used to investigate attitudes, perceived benefits, and disadvantages of using robots. Furthermore, interviews and observations were conducted at nursing care facilities to investigate the possibility of assisting or even substituting humans with robots in settings that usually require a sense of human warmth and care. Previous research often focusses on individual robots or on literature review without field data. It would seem like the literature is lacking a deeper perspective, while at the same time, painting a wider picture of the domain itself. Therefore, this research investigated the development and experiences with robots that already exist and have been tested in real-world settings. The findings of the study summarized the literature on robots in nursing care, attitudes towards robots across countries and Japan’s strategy for further integrating robots into their society. Other results include real experience with the use of robots in nursing facilities and theories grounded in the ideas and thoughts behind the development of robots commonly used today. An experiment exploring empathy towards robots demonstrated the distinctiveness of robots, as compared to dolls, in enhanced empathy towards them. Two case studies captured views from university students and primary school pupils based on interaction with the humanoid robot Pepper. Pupils found Pepper to be useful and likable, while university students found the interaction to be fun, but frustrating at times. Based on the field studies, we could conclude that Japanese robot developers and researches recommend robots to be inferior to users in terms of intelligence and relationship, but also capable of easy interaction and ideally reading between lines in communication. In nursing care, robots are currently taking the role of pets (Paro and Qoobo), a child (Pepper, Paro, PALRO, RoBoHon, and Smibi) and even as a staff member (Pepper), capable of entertaining and accompanying elderly to help with mental well-being. There might be a current lack of ethical and safety standards for such robots. However, safety and ethical issues are considered by developers and professors in terms of privacy, deception, attachment, mechanical safety. Current robots have different levels of cognitive capacities depending on purpose and interaction style. Goals for the future include improvement in aspects such as intelligence, marketing strategies, and educating users on robots’ capabilities and limitations.Masteroppgave i informasjonsvitenskapINFO390MASV-IKTMASV-INF

Do users need human-like conversational agents? - Exploring conversational system design using framework of human needs

The fascinating story of human evolution can be attributed to our ability to speak, write, and communicate complex thoughts. When researchers envision a perfect, artificially intelligent conversational system, they want the system to be human-like. In other words, the system should converse with the same intellect and cognition as humans. Now, the question which we need to ask is if we need a human-like conversational system? Before we engage in the complex endeavor of implementing human-like characteristics, we should debate if the pursuit of such a system is logical and ethical. We analyze some of the system-level characteristics and discuss their merits and potential of harm. We review some of the latest work on conversational systems to understand how design features are evolving for Conversational Agents. Additionally, we look into the framework of human needs to assess how the system should assign relative importance to user requests, and prioritize user tasks. We draw on the peer work in human-computer interaction, sentiment analysis, and human psychology to provide insights into how future conversational agents should be designed for better user satisfaction

Temporal Patterns in Multi-modal Social Interaction between Elderly Users and Service Robot

Social interaction, especially for older people living alone is a challenge currently facing human-robot interaction (HRI). User interfaces to manage service robots in home environments need to be tailored for older people. Multi-modal interfaces providing users with more than one communication option seem promising. There has been little research on user preference towards HRI interfaces; most studies have focused on utility and functionality of the interface. In this paper, we took both objective observations and participants’ opinions into account in studying older users with a robot partner. Our study was under the framework of the EU FP7 Robot-Era Project. The developed dual-modal robot interface offered older users options of speech or touch screen to perform tasks. Fifteen people aged from 70 to 89 years old, participated. We analyzed the spontaneous actions of the participants, including their attentional activities (eye contacts) and conversational activities, the temporal characteristics (timestamps, duration of events, event transitions) of these social behaviours, as well as questionnaires. This combination of data distinguishes it from other studies that focused on questionnaire ratings only. There were three main findings. First, the design of the Robot-Era interface was very acceptable for older users. Secondly, most older people used both speech and tablet to perform the food delivery service, with no difference in their preferences towards either. Thirdly, these older people had frequent and long-duration eye contact with the robot during their conversations, showing patience when expecting the robot to respond. They enjoyed the service. Overall, social engagement with the robot demonstrated by older people was no different from what might be expected towards a human partner. This study is an early attempt to reveal the social connections between human beings and a personal robot in real life. Our observations and findings should inspire new insights in HRI research and eventually contribute to next-generation intelligent robot developmen

The role of speech technology in biometrics, forensics and man-machine interface

Day by day Optimism is growing that in the near future our society will witness the Man-Machine Interface (MMI) using voice technology. Computer manufacturers are building voice recognition sub-systems in their new product lines. Although, speech technology based MMI technique is widely used before, needs to gather and apply the deep knowledge of spoken language and performance during the electronic machine-based interaction. Biometric recognition refers to a system that is able to identify individuals based on their own behavior and biological characteristics. Fingerprint success in forensic science and law enforcement applications with growing concerns relating to border control, banking access fraud, machine access control and IT security, there has been great interest in the use of fingerprints and other biological symptoms for the automatic recognition. It is not surprising to see that the application of biometric systems is playing an important role in all areas of our society. Biometric applications include access to smartphone security, mobile payment, the international border, national citizen register and reserve facilities. The use of MMI by speech technology, which includes automated speech/speaker recognition and natural language processing, has the significant impact on all existing businesses based on personal computer applications. With the help of powerful and affordable microprocessors and artificial intelligence algorithms, the human being can talk to the machine to drive and control all computer-based applications. Today's applications show a small preview of a rich future for MMI based on voice technology, which will ultimately replace the keyboard and mouse with the microphone for easy access and make the machine more intelligent

Human-Robot interaction with low computational-power humanoids

This article investigates the possibilities of human-humanoid interaction with robots whose computational power is limited. The project has been carried during a year of work at the Computer and Robot Vision Laboratory (VisLab), part of the Institute for Systems and Robotics in Lisbon, Portugal. Communication, the basis of interaction, is simultaneously visual, verbal, and gestural. The robot's algorithm provides users a natural language communication, being able to catch and understand the person’s needs and feelings. The design of the system should, consequently, give it the capability to dialogue with people in a way that makes possible the understanding of their needs. The whole experience, to be natural, is independent from the GUI, used just as an auxiliary instrument. Furthermore, the humanoid can communicate with gestures, touch and visual perceptions and feedbacks. This creates a totally new type of interaction where the robot is not just a machine to use, but a figure to interact and talk with: a social robot

Smart nudging: How cognitive technologies enable choice architectures for value co-creation

Abstract People make decisions and take actions to improve their viability everyday, and they increasingly turn to artificial intelligence (AI) to assist with their decision making. Such trends suggest the need to determine how AI and other cognitive technologies affect value co-creation. An integrative framework, based on the service-dominant logic and nudge theory, conceptualizes smart nudging as uses of cognitive technologies to affect people's behaviour predictably, without limiting their options or altering their economic incentives. Several choice architectures and nudges affect value co-creation, by (1) widening resource accessibility, (2) extending engagement, or (3) augmenting human actors' agency. Although cognitive technologies are unlikely to engender smart outcomes alone, they enable designs of conditions and contexts that promote smart behaviours, by amplifying capacities for self-understanding, control, and action. This study offers a conceptualization of actors' value co-creation prompted by AI-driven nudged choices, in terms of re-institutionalizing processes that affect agency and practices

Human-Machine Communication: Complete Volume. Volume 1

This is the complete volume of HMC Volume 1