A critical analysis of the representations of older adults in the field of human-robot interaction
April 2021
Dafna Burema
This paper argues that there is a need to critically assess bias in the representations of older adults in the field of Human–Robot Interaction. This need stems from the recognition that technology development is a socially constructed process that has the potential to reinforce problematic understandings of older adults. Based on a qualitative content analysis of 96 academic publications, this paper indicates that older adults are represented as; frail by default, independent by effort; silent and technologically illiterate; burdensome; and problematic for society. Within these documents, few counternarratives are present that do not take such essentialist representations. In these texts, the goal of social robots in elder care is to “enable” older adults to “better” themselves. The older body is seen as “fixable” with social robots, reinforcing an ageist and neoliberal narrative: older adults are reduced to potential care receivers in ways that shift care responsibilities away from the welfare state onto the individual.
The Effectiveness of Assistive Technologies for Older Adults and the Influence of Frailty: Systematic Literature Review of Randomised Controlled Trials
July 2021
Mariana Liselotte Fotteler, Viktoria Muhlbauer, Simone Brefka, Sarah Mayer, Brigette Kohn, Felix Holl, Walter Swoboda, Petra Gaugisch, Beate Risch, Michael Denkinger and Dhayana Dallmeier
The use of assistive technologies (ATs) to support older people has been fueled by the demographic change and technological progress in many countries. These devices are designed to assist seniors, enable independent living at home or in residential facilities, and improve quality of life by addressing age-related difficulties. This paper aimed to evaluate the effectiveness of ATs on relevant outcomes with a focus on frail older adults.
An analysis of design recommendations for socially assistive robot helpers for effective human-robot interactions in senior care
April 2022
Fraser Robinson and Goldie Nejat
As the global population ages, there is an increase in demand for assistive technologies that can alleviate the stresses on healthcare systems. The growing field of socially assistive robotics (SARs) offers unique solutions that are interactive, engaging, and adaptable to different users’ needs. Crucial to having positive human-robot interaction (HRI) experiences in senior care settings is the overall design of the robot, considering the unique challenges and opportunities that come with novice users. This paper presents a novel study that explores the effect of SAR design on HRI in senior care through a results-oriented analysis of the literature. We provide key design recommendations to ensure inclusion for a diverse set of users. Open challenges of considering user preferences during design, creating adaptive behaviors, and developing intelligent autonomy are discussed in detail. SAR features of appearance and interaction mode along with SAR frameworks for perception and intelligence are explored to evaluate individual developments using metrics such as trust, acceptance, and intent to use. Drawing from a diverse set of features, SAR frameworks, and HRI studies, the discussion highlights robot characteristics of greatest influence in promoting wellbeing and aging-in-place of older adults and generates design recommendations that are important for future development.
Socially assistive robots on the market: Experiences from inpatient care and potentials for care at home
July 2022
Christph Strunck, Verena Reuter, Vera Gerling, Pia-Saskia Berg and Anja Ehlers
The article addresses commercial socially assistive robots (SAR). There is evidence of the impact of SAR on older persons in institutional settings. Family care at home has not yet been the subject of systematic research; however, especially at home SAR could help to prevent loneliness, provide emotional support, and foster communication.
Living with a Telepresence Robot: Results From a Field-Trial
April 2022
Laura Fiorini, Alessandra Sorrentino, Mattia Pistolesi, Claudia Becchimanzi, Francesca Tosi and Filippo Cavallo
Population around Europe is getting older; many older adults would like to live independently in their homes as long as possible. Personalized integrated care plan strategies envisage the possibility of home care services for those people at risk of frailty. In this context, the robot could empower people to live independently. In the presented work, 20 frail older adults were asked to live with a telepresence robot (i.e., Double Robot), through which the formal caregiver could remotely visit them. A total of 284 days of field-test trial was evaluated with a proposed framework that explores several domains, including system reliability, maintainability, system acceptance, user attitude, and user experiences. At the end of the experimentation, the system was used for 4241 mins accomplishing 151 telepresence services, and the results underline optimal system reliability and high user experience. Based on the collected feedback, the proposed telepresence robot can be exploited into integrated care services. The evaluation of a system should envisage a complex, multidisciplinary, and holistic approach that may influence the success or failure of the robot's purpose if not properly analyzed during the evaluation and design phase.
June 2022
Claudia Di Napoli, Giovanni Ercolano & Silvia Rossi
Socially assistive robotics (SAR) is getting a lot of attention for its potential in assisting elderly users. However, for robotic assistive applications to be effective, they need to satisfy the particular needs of each user and be well perceived. For this purpose, a personalization based on user’s characteristics such as personality and cognitive profile, and their dynamic changes is a crucial factor. Moreover, most of the existing solutions rely on the availability of specific technological infrastructures, generally requiring high economic investment, and that cannot be easily placed in different environments. Personalization and adaptation of assistive robotics applications to different user’s characteristics and needs, and even to different technological environments, are still not fully addressed in real environments. In the present work, the results of the UPA4SAR project are presented. The project aimed at providing a social robotic system to deliver assistive tasks for home care of patients with mild cognitive impairment in a personalized and adaptive way. We introduce the general architecture of the system and the developed robotic behaviors. Personalization and dynamic adaptation of assistive tasks are realized using a service-oriented approach by taking into account both user’s characteristics and environmental dynamic conditions. Field experimentation of the project was carried out with 7 patients, using the robotic system autonomously running in their homes for a total of 118 days. Results showed a reliable functioning of the proposed robotic system, a generally positive reaction, and a good acceptability rate from patients.
How wearable sensors have been utilised to evaluate frailty in older adults
July 2021
Grainne Vavasour , Oonagh M. Giggins , Julie Doyle and Daniel Kelly
Globally the population of older adults is increasing. It is estimated that by 2050 the number of adults over the age of 60 will represent over 21% of the world’s population. Frailty is a clinical condition associated with ageing resulting in an increase in adverse outcomes. It is considered the greatest challenge facing an ageing population affecting an estimated 16% of community-dwelling populations worldwide. The aim of this systematic review is to explore how wearable sensors have been used to assess frailty in older adults.
January 2022
Hojjat Abdollahi; Mohammad Mahoor; Rohola Zandie; Jarid Sewierski; Sara Qualls
This paper presents our recent research on integrating artificial emotional intelligence in a social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ryan is a socially assistive robot designed to provide companionship for older adults with depression and dementia through conversation. We used two versions of Ryan for our study, empathic and non-empathic. The empathic Ryan utilizes a multimodal emotion recognition algorithm and a multimodal emotion expression system. Using different input modalities for emotion, i.e. facial expression and speech sentiment, the empathic Ryan detects users emotional state and utilizes an affective dialogue manager to generate a response. On the other hand, the non-empathic Ryan lacks facial expression and uses scripted dialogues that do not factor in the users emotional state. We studied these two versions of Ryan with 10 older adults living in a senior care facility. The statistically significant improvement in the users' reported face-scale mood measurement indicates an overall positive effect from the interaction with both the empathic and non-empathic versions of Ryan. However, the number of spoken words measurement and the exit survey analysis suggest that the users perceive the empathic Ryan as more engaging and likable.
Effect of a Robotic Pet on Social and Physical Frailty in Community-Dwelling Older Adults: A randomised controlled trial
September 2022
Chava Pollak, Sharon Stahl Wexler and Lin Drury
The current randomized controlled trial investigated the effect of a robotic pet on social and physical frailty in community-dwelling older adults. The intervention group (n = 107) received a robotic pet and the control group (n = 113) received usual care following hospital discharge. Social and physical frailty were measured using the Questionnaire to Define Social Frailty Status and the FRAIL questionnaire. Cognitive function and depression were assessed using the Short Portable Mental Status Questionnaire and Geriatric Depression Scale, respectively. Continuous outcomes were compared between groups using t tests or Wilcoxon rank sum tests, as appropriate. Categorical outcomes were compared between groups using chi-square tests or Fisher's exact tests, as appropriate. Main findings showed the robotic pet positively impacted cognitive status in participants who reported they enjoyed engaging with their pet. This finding supported the theoretical premise of the current study that greater engagement with the robotic pet would yield greater improvement in study outcomes.
Seeking at-home long-term autonomy of assistive mobile robots through the integration with an IoT-based monitoring system
March 2023
Matteo Luperto, Javier Monroy, Francisco-Angel Moreno, Francesca Lunardini, Jennifer Renous, Andrej Krpic, Cipriano Galindo, Simona Ferrante, Nicola Basilico, Javier Gonzalez-Jinemez and N. Alberto Borghese
In this paper, we propose a system that stems from the integration of an autonomous mobile robot with an IoT-based monitoring system to provide monitoring, assistance, and stimulation to older adults living alone in their own houses. The creation of an Internet of Robotics Things (IoRT) based on the interplay between pervasive smart objects and autonomous robotic systems is claimed to enable the creation of innovative services conceived for assisting the final user, especially in elderly care. The synergy between IoT and a Socially Assistive Robot (SAR) was conceived to offer robustness, reconfiguration, heterogeneity, and scalability, by bringing a strong added value to both the current SAR and IoT technologies. First, we propose a method to achieve the synergy and integration between the IoT system and the robot; then, we show how our method increases the performance and effectiveness of both to provide long-term support to the older adults. To do so, we present a case-study, where we focus on the detection of signs of the frailty syndrome, a set of vulnerabilities typically conveyed by a cognitive and physical decline in older people that concur in amplifying the risks of major diseases hindering the capabilities of independent living. Experimental evaluation is performed in both controlled settings and in a long-term real-world pilot study with 9 older adults in their own apartments, where the system was deployed autonomously for, on average, 12 weeks.
September 2022
Matteo Luperto, Javier Monroy, Jennifer Renoux, Francesca Lunardini, Nicola Basilico, Maria Bulgheroni, Angelo Cangelosi, Matteo Cesari, Manuel Cid, Aladar Ianes, Javier Gonzalez-Jimenez, Anastasis Kounoudes, David Mari, Victor Prisacariu, Arso Savanovic, Simona Ferrante & N. Alberto Borghese
The integration of Ambient Assisted Living (AAL) frameworks with Socially Assistive Robots (SARs) has proven useful for monitoring and assisting older adults in their own home. However, the difficulties associated with long-term deployments in real-world complex environments are still highly under-explored. In this work, we first present the MoveCare system, an unobtrusive platform that, through the integration of a SAR into an AAL framework, aimed to monitor, assist and provide social, cognitive, and physical stimulation in the own houses of elders living alone and at risk of falling into frailty. We then focus on the evaluation and analysis of a long-term pilot campaign of more than 300 weeks of usages. We evaluated the system’s acceptability and feasibility through various questionnaires and empirically assessed the impact of the presence of an assistive robot by deploying the system with and without it. Our results provide strong empirical evidence that Socially Assistive Robots integrated with monitoring and stimulation platforms can be successfully used for long-term support to older adults. We describe how the robot’s presence significantly incentivised the use of the system, but slightly lowered the system’s overall acceptability. Finally, we emphasise that real-world long-term deployment of SARs introduces a significant technical, organisational, and logistical overhead that should not be neglected nor underestimated in the pursuit of long-term robust systems. We hope that the findings and lessons learned from our work can bring value towards future long-term real-world and widespread use of SARs.