Harnessing digital phenotyping to deliver real-time interventional bio-feedback

With the decreasing cost and increasing capability of sensor and mobile technology along with the proliferation of data from social media, ambient environment and other sources, new concepts for digital prognostic and technological quantification of wellbeing are emerging. These concepts are referred to as Digital Phenotyping. One of the main challenges facing these technologies development is connecting how to design an easy to use and personalized devices which benefits from interventional feedback by leveraging on-device processing in real-time. Tangible interfaces designed for wellbeing possess the capabilities to reduce anxiety or manage panic attacks, thus improving the quality of life of the general population and vulnerable members of society. Real-time Bio-feedback presents new opportunities in Artificial Intelligence (AI) with the possibility for mental wellbeing to be inferred automatically allowing interventional feedback to be automatically applied and for the feedback to be individually personalised. This research explores future directions for Bio-feedback including the opportunity to fuse multiple AI enabled feedback mechanisms that can then be utilised collectively or individually

Socially assistive robots as mental health interventions for children : a scoping review

Socially Assistive Robots are promising in their potential to promote and support mental health in children. There is a growing number of studies investigating the feasibility and effectiveness of robot interventions in supporting children’s mental wellbeing. Although preliminary evidence suggests that Socially Assistive Robots may have the potential to help address concerns such as stress and anxiety in children, there is a need for a greater focus in examining the impact of robotic interventions in this population. In order to better understand the current state of the evidence in this field and identify critical gaps, we carried out a scoping review of the available literature examining how social robots are investigated as means to support mental health in children. We identified existing types of robot intervention and measures that are being used to investigate specific mental health outcomes. Overall, our findings suggest that robot interventions for children may positively impact mental health outcomes such as relief of distress and increase positive affect. Results also show that the strength of evidence needs to be improved to determine what types of robotic interventions could be most effective and readily implemented in pediatric mental health care. Based on our findings, we propose a set of recommendations to guide further research in this area

Service Robots in Healthcare Settings

Robots will play a part in all aspects of healthcare. The presence of service robots in healthcare demands special attention, whether it is in the automation of menial labour, prescription distribution, or offering comfort. In this chapter, we examine the several applications of healthcare-oriented robots in the acute, ambulatory and at-home settings. We discuss the role of robotics in reducing environmental dangers, as well as at the patient’s bedside and in the operating room, in the acute setting. We examine how robotics can protect and scale up healthcare services in the ambulatory setting. Finally, in the at-home scenario, we look at how robots can be employed for both rural/remote healthcare delivery and home-based care. In addition to assessing the current state of robotics at the interface of healthcare delivery, we describe critical problems for the future where such technology will be ubiquitous. Patients, health care workers, institutions, insurance companies, and governments will realize that service robots will deliver significant benefits in the future in terms of leverage and cost savings, while maintaining or improving access, equity, and high-quality health care

Reducing negative emotions in children using social robots: systematic review

Background: For many children, visiting the hospital can lead to a state of increased anxiety. Social robots are being explored as a possible tool to reduce anxiety and distress in children attending a clinical or hospital environment. Social robots are designed to communicate and interact through movement, music and speech. Objective: This systematic review aims at assessing the current evidence on the types of social robots used and their impact on children’s anxiety or distress levels when visiting the hospital for outpatient appointments or planned admissions. Methods: Databases such as MEDLINE, PubMed, IEEE Xplore, Web of Science, PsychINFO and Google Scholar were queried for papers published between January 2009 and August 2020 reporting the use of social robots interacting with children in hospital or clinical environments. Results: A total of 10 studies were located and included. Across these 10 studies, 7 different types of robots were used. Anxiety and distress were found to be reduced in the children who interacted with a social robot. Conclusions: Overall, the evidence suggests that social robots hold a promising role in reducing levels of anxiety or distress in children visiting the hospital. However, research on social robots is at an early stage and requires further studies to strengthen the evidence base

Exploring the design space of therapeutic robot companions for children

Robots that lend social and emotional support to their users have the potential to extend the quality of care that humans can provide. However, developing robotic aids to address symptoms of loneliness, anxiety and social isolation can be especially challenging due to factors that are complex and multi-faceted. Using a user-centered approach, a prototype therapeutic robot, TACO, was developed. The design of this robot was closely informed by a comprehensive need finding process which included a detailed literature review, ethical analysis, interviews with pediatric domain experts, and a site visit to a pediatric hospital. The prototype robot was evaluated over the course of several structured play sessions, using short interviews with children as well as a modified version of the SOFIT testing procedure. Results from early-stage testing suggest that TACO was well-liked, children found playing with it engaging and frequently exhibited affective behaviors like cuddling and stroking. These findings motivate follow-on work to further advance its design and to test its effectiveness as a therapeutic tool

A Brief Wellbeing Training Session Delivered by a Humanoid Social Robot: A Pilot Randomized Controlled Trial

Mental health and psychological distress are rising in adults, showing the importance of wellbeing promotion, support, and technique practice that is effective and accessible. Interactive social robots have been tested to deliver health programs but have not been explored to deliver wellbeing technique training in detail. A pilot randomised controlled trial was conducted to explore the feasibility of an autonomous humanoid social robot to deliver a brief mindful breathing technique to promote information around wellbeing. It contained two conditions: brief technique training (Technique) and control designed to represent a simple wait-list activity to represent a relationship-building discussion (Simple Rapport). This trial also explored willingness to discuss health-related topics with a robot. Recruitment uptake rate through convenience sampling was high (53%). A total of 230 participants took part (mean age = 29 years) with 71% being higher education students. There were moderate ratings of technique enjoyment, perceived usefulness, and likelihood to repeat the technique again. Interaction effects were found across measures with scores varying across gender and distress levels. Males with high distress and females with low distress who received the simple rapport activity reported greater comfort to discuss non-health topics than males with low distress and females with high distress. This trial marks a notable step towards the design and deployment of an autonomous wellbeing intervention to investigate the impact of a brief robot-delivered mindfulness training program for a sub-clinical population

Remote interspecies interactions: Improving humans and animals wellbeing through mobile playful spaces

[EN] Play is an essential activity for both humans and animals as it provides stimulation and favors cognitive, physical and social development. This paper proposes a novel pervasive playful environment that allows hospitalized children to participate in remote interspecies play with dogs in a dog daycare facility, while it also allows the dogs to play by themselves with the pervasive system. The aim of this playful interactive space is to help improving both children¿s and animal¿s wellbeing and their relationships by means of technologically mediated play, while creating a solid knowledge base to define the future of pervasive interactive environments for animals.This work is supported by the European Development Regional Fund (EDRF-FEDER), Spain and Spanish MINECO (TIN2014-60077-R). The work of Patricia Pons is supported by the Spanish MECD (FPU13/03831). Special thanks to the dogs and children who participated in our study, the dogs' owners and the children's families. The authors also gratefully acknowledge the teachers of the Unidad Pedagogica Hospitalaria La Fe and Oncologia Pediatrica La Fe and also Olga and Astrid from Buma's Doggy Daycare facility, for their invaluable support, collaboration and dedication.Pons Tomás, P.; Carrion-Plaza, A.; Jaén Martínez, FJ. (2019). Remote interspecies interactions: Improving humans and animals wellbeing through mobile playful spaces. Pervasive and Mobile Computing. 52:113-130. https://doi.org/10.1016/j.pmcj.2018.12.003S1131305

Beyond mobile apps: a survey of technologies for mental well-being

Mental health problems are on the rise globally and strain national health systems worldwide. Mental disorders are closely associated with fear of stigma, structural barriers such as financial burden, and lack of available services and resources which often prohibit the delivery of frequent clinical advice and monitoring. Technologies for mental well-being exhibit a range of attractive properties, which facilitate the delivery of state-of-the-art clinical monitoring. This review article provides an overview of traditional techniques followed by their technological alternatives, sensing devices, behaviour changing tools, and feedback interfaces. The challenges presented by these technologies are then discussed with data collection, privacy, and battery life being some of the key issues which need to be carefully considered for the successful deployment of mental health toolkits. Finally, the opportunities this growing research area presents are discussed including the use of portable tangible interfaces combining sensing and feedback technologies. Capitalising on the data these ubiquitous devices can record, state of the art machine learning algorithms can lead to the development of robust clinical decision support tools towards diagnosis and improvement of mental well-being delivery in real-time