Inclusion of service robots in the daily lives of frail older users: A step-by-step definition procedure on users' requirements

García-Soler, Álvaro; Facal, David; Díaz-Orueta, Unai; Pigini, Lucia; Blasi, Lorenzo; Qiu, Renxi

doi:10.1016/j.archger.2017.10.024

Cited by 43 publications

(31 citation statements)

References 26 publications

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“…Other requirements are related to monitoring, privacy and safety. Suitability to the environment and customisation and adaption are also prioritised areas [20]. However, the description of frail older adults having a general need for various robotic assistance, due to societal changes, has been criticised.…”

Section: Care Robots In Elder Carementioning

confidence: 99%

Care Robot Orientation: What, Who and How? Potential Users’ Perceptions

Johansson-Pajala

Thommes

Hoppe

et al. 2020

Int J of Soc Robotics

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Exploring the specific field of care robot orientation generates many questions regarding the meaning, content and how it should be conducted. The issue is important due to the general digitalisation and implementation of welfare technology and care robots. The aim of the study was to explore perceptions of care robot orientation from the potential users' perspective. Data were collected by focus group interviews in Finland, Germany and Sweden. In all three countries, potential user groups were represented: older adults, relatives, professional caregivers and care service managers. A qualitative descriptive method was used for analysing data. The data revealed three aspects of care robot orientation: (1) What care robot orientation is, (2) Who needs it and by Whom it should be given and (3) How it should be performed. The need for care robot orientation is general in society. In the absence of knowledge about care robots, it is nearly impossible to know what to ask for or actually seek information about. Therefore, care robot orientation must be founded on agile implementation planning for care robots, with a firm basis in trustworthy knowledge and information and respecting individuals' wishes. This also gives rise to an ethical challenge when care robots are offered to people having reduced decision-making ability (dementia, cognitive impairment), along with the issue of who then should make the decision. The mapping of the What, Who/Whom and How aspects of care robot orientation offers a foundation for the creation of orientation models, which might facilitate structured and goal-oriented care robot orientation strategies.

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Section: Care Robots In Elder Carementioning

confidence: 99%

Care Robot Orientation: What, Who and How? Potential Users’ Perceptions

Johansson-Pajala

Thommes

Hoppe

et al. 2020

Int J of Soc Robotics

View full text Add to dashboard Cite

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“…Other approaches include the installation of external cameras to guide the robots through narrow areas where only one at a time can navigate [39], or those less fancy, yet common, approaches based on the restriction of the navigation space in order to exclude areas with potential danger. Among others, environments with the presence of carpets and/or full-length mirrors are usually discarded as zones for proper navigation, as well as those with doorways or corridors too narrow (with respect to the width of the robot) to ensure a smooth navigation [40]. Naturally, the opposite solution has also been explored: to constrain the robot dimensions [41] or the motion design [42] to allow the robotic system to navigate through narrow areas, even for semi-autonomous vehicles where the control of the human operator can be overrode in case of danger of collision [43].…”

Section: Related Workmentioning

confidence: 99%

Automatic Waypoint Generation to Improve Robot Navigation Through Narrow Spaces

Moreno

Monroy

Ruiz-Sarmiento

et al. 2019

Sensors

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In domestic robotics, passing through narrow areas becomes critical for safe and effective robot navigation. Due to factors like sensor noise or miscalibration, even if the free space is sufficient for the robot to pass through, it may not see enough clearance to navigate, hence limiting its operational space. An approach to facing this is to insert waypoints strategically placed within the problematic areas in the map, which are considered by the robot planner when generating a trajectory and help to successfully traverse them. This is typically carried out by a human operator either by relying on their experience or by trial-and-error. In this paper, we present an automatic procedure to perform this task that: (i) detects problematic areas in the map and (ii) generates a set of auxiliary navigation waypoints from which more suitable trajectories can be generated by the robot planner. Our proposal, fully compatible with the robotic operating system (ROS), has been successfully applied to robots deployed in different houses within the H2020 MoveCare project. Moreover, we have performed extensive simulations with four state-of-the-art robots operating within real maps. The results reveal significant improvements in the number of successful navigations for the evaluated scenarios, demonstrating its efficacy in realistic situations.

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“…An easy and continuous connection with other people (i.e., relatives, friends, or doctors), could promote social inclusion of people with disabilities or elderly people and increase the quality of their life [15]. Therefore, in this context, there is a growing necessity for developing behavioral models for social robots to have a high quality interaction and level of acceptability in providing useful and efficient services [16,17]. Remarkably, how people accept, perceive, interact, and cooperate with this intelligent machine in their life is still somewhat unknown.…”

Section: Introductionmentioning

confidence: 99%

A Survey of Behavioral Models for Social Robots

et al. 2019

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The cooperation between humans and robots is becoming increasingly important in our society. Consequently, there is a growing interest in the development of models that can enhance and enrich the interaction between humans and robots. A key challenge in the Human-Robot Interaction (HRI) field is to provide robots with cognitive and affective capabilities, by developing architectures that let them establish empathetic relationships with users. Over the last several years, multiple models were proposed to face this open-challenge. This work provides a survey of the most relevant attempts/works. In details, it offers an overview of the architectures present in literature focusing on three specific aspects of HRI: the development of adaptive behavioral models, the design of cognitive architectures, and the ability to establish empathy with the user. The research was conducted within two databases: Scopus and Web of Science. Accurate exclusion criteria were applied to screen the 4916 articles found. At the end, 56 articles were selected. For each work, an evaluation of the model is made. Pros and cons of each work are detailed by analyzing the aspects that can be improved to establish an enjoyable interaction between robots and users.

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Inclusion of service robots in the daily lives of frail older users: A step-by-step definition procedure on users' requirements

Cited by 43 publications

References 26 publications

Care Robot Orientation: What, Who and How? Potential Users’ Perceptions

Care Robot Orientation: What, Who and How? Potential Users’ Perceptions

Automatic Waypoint Generation to Improve Robot Navigation Through Narrow Spaces

A Survey of Behavioral Models for Social Robots

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