Grace Peterson Research Colloquium

Mental illness is commonly under-diagnosed, misdiagnosed, or untreated, particularly in the elderly population. An expected population increase for those 65 years and older, increased in health care expenses coupled with the moral and ethical obligation of health care providers to promote quality of life at all ages makes investigation to alternative treatments in this population is worth investigating. The purpose of this literature review is to synthesize existing studies to clarify the following questions: What are the effects of pet therapy on those experiencing signs and symptoms of depression and anxiety? Why is pet therapy still lagging in validated studies, despite its increase in use over the years? Peer-reviewed journal articles, published within the last 10 years were selected through the databases CINAHL, psycINFO, Pro-Quest Nursing, and PubMed. A variety of terms related to pet therapy, depression, anxiety, and the elderly were used in the search process. Literature overall found pet therapy has a positive influence on elderly individuals’ mental state. Pet therapy can help improve ones mental state, but evidence regarding its validated effectiveness continues to be weak. Further studies should consider more qualitative data, which will likely offer more rich and thorough insight into pet therapy’s usefulness in the mental well-being of older adults. Keywords: elderly, pet therapy, anxiety, depressio

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

Enablers and barriers to the implementation of socially assistive humanoid robots in health and social care: a systematic review

Objectives: Socially assistive humanoid robots are considered a promising technology to tackle the challenges in health and social care posed by the growth of the ageing population. The purpose of our study was to explore the current evidence on barriers and enablers for the implementation of humanoid robots in health and social care. Design: Systematic review of studies entailing hands-on interactions with a humanoid robot. Setting: From April 2018 to June 2018, databases were searched using a combination of the same search terms for articles published during the last decade. Data collection was conducted by using the Rayyan software, a standardised predefined grid, and a risk of bias and a quality assessment tool. Participants: Post-experimental data were collected and analysed for a total of 420 participants. Participants comprised: older adults (n=307) aged ≥60 years, with no or some degree of age-related cognitive impairment, residing either in residential care facilities or at their home; care home staff (n=106); and informal caregivers (n=7).Primary outcomes Identification of enablers and barriers to the implementation of socially assistive humanoid robots in health and social care, and consequent insights and impact. Future developments to inform further research. Results: Twelve studies met the eligibility criteria and were included. None of the selected studies had an experimental design; hence overall quality was low with high risks of biases. Several studies had no comparator, no baseline, small samples, and self-reported measures only. Within this limited evidence base, the enablers found were enjoyment, usability, personalisation and familiarisation. Barriers were related to technical problems, to the robots’ limited capabilities and the negative preconceptions towards the use of robots in healthcare. Factors which produced mixed results were the robot’s human-like attributes, previous experience with technology and views of formal and informal carers. Conclusions: The available evidence related to implementation factors of socially assistive humanoid robots for older adults is limited, mainly focusing on aspects at individual level, and exploring acceptance of this technology. Investigation of elements linked to the environment, organisation, societal and cultural milieu, policy and legal framework is necessary

The Emerging Role of Robotics in Personal Health Care: Bringing Smart Health Care Home

Affordable, accessible health care is in short supply in the U.S., due to the rapidly aging population; robotics can provide a solution to this problem. This project developed user requirements for a personal health care robot. From interviews with robotics professionals and focus groups with caregivers and the elderly, the team gained an understanding of potential users’ desired functionalities and acceptance of robots. The team developed a taxonomy to characterize robots’ interaction with users. The requirements generated by the studies were used in conjunction with this taxonomy to recommend a robot for use in personal health care. An in-home monitoring system was found to have the greatest potential to benefit the health care industry and the target demographic

Calming Effects of Touch in Human, Animal, and Robotic Interaction—Scientific State-of-the-Art and Technical Advances

Small everyday gestures such as a tap on the shoulder can affect the way humans feel and act. Touch can have a calming effect and alter the way stress is handled, thereby promoting mental and physical health. Due to current technical advances and the growing role of intelligent robots in households and healthcare, recent research also addressed the potential of robotic touch for stress reduction. In addition, touch by non-human agents such as animals or inanimate objects may have a calming effect. This conceptual article will review a selection of the most relevant studies reporting the physiological, hormonal, neural, and subjective effects of touch on stress, arousal, and negative affect. Robotic systems capable of non-social touch will be assessed together with control strategies and sensor technologies. Parallels and differences of human-to-human touch and human-to-non-human touch will be discussed. We propose that, under appropriate conditions, touch can act as (social) signal for safety, even when the interaction partner is an animal or a machine. We will also outline potential directions for future research and clinical relevance. Thereby, this review can provide a foundation for further investigations into the beneficial contribution of touch by different agents to regulate negative affect and arousal in humans

Design and Development of the eBear: A Socially Assistive Robot for Elderly People with Depression

There has been tremendous progress in the field of robotics in the past decade and especially developing humanoid robots with social abilities that can assist human at a socio-emotional level. The objective of this thesis is to develop and study a perceptive and expressive animal-like robot equipped with artificial intelligence in assisting the elderly people with depression. We investigated how social robots can become companions of elderly individuals with depression and improve their mood and increase their happiness and well-being. The robotic platform built in this thesis is a bear-like robot called the eBear. The eBear can show facial expression and head gesture, can understand user\u27s emotion using audio-video sensory inputs and machine learning, can speak and show relatively accurate visual speech, and make dialog with users. the eBear can respond to their questions by querying the Internet, and even encourage them to physically be more active and even perform simple physical exercises. Besides building the robot, the eBear was used in running a pilot study in which seven elderly people with mild to severe depression interacted with the eBear for about 45 minutes three times a week over one month. The results of the study show that interacting with the eBear can increase happiness and mood of these human users as measured by Face Scale, and Geriatric Depression Scale (GDS) score systems. In addition, using Almere Model, it was concluded that the acceptance of the social agent increased over the study period. Videos of the users interaction with the eBear was analyzed and eye gaze, and facial expressions were manually annotated to better understand the behavior changes of users with the eBear. Results of these analyses as well as the exit surveys completed by the users at the end of the study demonstrate that a social robot such as the eBear can be an effective companion for the elderly people and can be a new approach for depression treatment

A Review on Usability and User Experience of Assistive Social Robots for Older Persons

In the advancement of human-robot interaction technology, assistive social robots have been recognized as one of potential technologies that can provide physical and cognitive supports in older persons care. However, a major challenge faced by the designers is to develop an assistive social robot with prodigious usability and user experience for older persons who were known to have physical and cognitive limitations. A considerable number of published literatures was reporting on the technological design process of assistive social robots. However, only a small amount of attention has been paid to review the usability and user experience of the robots. The objective of this paper is to provide an overview of established researches in the literatures concerning usability and user experience issues faced by the older persons when interacting with assistive social robots. The authors searched relevant articles from the academic databases such as Google Scholar, Scopus and Web of Science as well as Google search for the publication period 2000 to 2021. Several search keywords were typed such as ‘older persons’ ‘elderly’, ‘senior citizens’, ‘assistive social robots’, ‘companion robots’, ‘personal robots’, ‘usability’ and ‘user experience’. This online search found a total of 215 articles which are related to assistive social robots in elderly care. Out of which, 54 articles identified as significant references, and they were examined thoroughly to prepare the main content of this paper. This paper reveals usability issues of 28 assistive social robots, and feedbacks of user experience based on 41 units of assistive social robots. Based on the research articles scrutinized, the authors concluded that the key elements in the design and development of assistive social robots to improve acceptance of older persons were determined by three factors: functionality, usability and users’ experience. Functionality refers to ability of robots to serve the older persons. Usability is ease of use of the robots. It is an indicator on how successful of interaction between the robots and the users. To improve usability, robot designers should consider the limitations of older persons such as vision, hearing, and cognition capabilities when interacting with the robots. User experience reflects to perceptions, preferences and behaviors of users that occur before, during and after use the robots. Combination of superior functionality and usability lead to a good user experience in using the robots which in the end achieves satisfaction of older persons

A Review on Usability and User Experience of Assistive Social Robots for Older Persons

In the advancement of human-robot interaction technology, assistive social robots have been recognized as one of potential technologies that can provide physical and cognitive supports in older persons care. However, a major challenge faced by the designers is to develop an assistive social robot with prodigious usability and user experience for older persons who were known to have physical and cognitive limitations. A considerable number of published literatures was reporting on the technological design process of assistive social robots. However, only a small amount of attention has been paid to review the usability and user experience of the robots. The objective of this paper is to provide an overview of established researches in the literatures concerning usability and user experience issues faced by the older persons when interacting with assistive social robots. The authors searched relevant articles from the academic databases such as Google Scholar, Scopus and Web of Science as well as Google search for the publication period 2000 to 2021. Several search keywords were typed such as ‘older persons’ ‘elderly’, ‘senior citizens’, ‘assistive social robots’, ‘companion robots’, ‘personal robots’, ‘usability’ and ‘user experience’. This online search found a total of 215 articles which are related to assistive social robots in elderly care. Out of which, 54 articles identified as significant references, and they were examined thoroughly to prepare the main content of this paper. This paper reveals usability issues of 28 assistive social robots, and feedbacks of user experience based on 41 units of assistive social robots. Based on the research articles scrutinized, the authors concluded that the key elements in the design and development of assistive social robots to improve acceptance of older persons were determined by three factors: functionality, usability and users’ experience. Functionality refers to ability of robots to serve the older persons. Usability is ease of use of the robots. It is an indicator on how successful of interaction between the robots and the users. To improve usability, robot designers should consider the limitations of older persons such as vision, hearing, and cognition capabilities when interacting with the robots. User experience reflects to perceptions, preferences and behaviors of users that occur before, during and after use the robots. Combination of superior functionality and usability lead to a good user experience in using the robots which in the end achieves satisfaction of older persons