Global Trends and Hotspots in Research on Rehabilitation Robots: A Bibliometric Analysis From 2010 to 2020

Background: In recent years, with the development of medical science and artificial intelligence, research on rehabilitation robots has gained more and more attention, for nearly 10 years in the Web of Science database by journal of rehabilitation robot-related research literature analysis, to parse and track rehabilitation robot research hotspot and front, and provide some guidance for future research.Methods: This study employed computer retrieval of rehabilitation robot-related research published in the core data collection of the Web of Science database from 2010 to 2020, using CiteSpace 5.7 visualization software. The hotspots and frontiers of rehabilitation robot research are analyzed from the aspects of high-influence countries or regions, institutions, authors, high-frequency keywords, and emergent words.Results: A total of 3,194 articles were included. In recent years, the research on rehabilitation robots has been continuously hot, and the annual publication of relevant literature has shown a trend of steady growth. The United States ranked first with 819 papers, and China ranked second with 603 papers. Northwestern University ranked first with 161 publications. R. Riener, a professor at the University of Zurich, Switzerland, ranked as the first author with 48 articles. The Journal of Neural Engineering and Rehabilitation has the most published research, with 211 publications. In the past 10 years, research has focused on intelligent control, task analysis, and the learning, performance, and reliability of rehabilitation robots to realize the natural and precise interaction between humans and machines. Research on neural rehabilitation robots, brain–computer interface, virtual reality, flexible wearables, task analysis, and exoskeletons has attracted more and more attention.Conclusions: At present, the brain–computer interface, virtual reality, flexible wearables, task analysis, and exoskeleton rehabilitation robots are the research trends and hotspots. Future research should focus on the application of machine learning (ML), dimensionality reduction, and feature engineering technologies in the research and development of rehabilitation robots to improve the speed and accuracy of algorithms. To achieve wide application and commercialization, future rehabilitation robots should also develop toward mass production and low cost. We should pay attention to the functional needs of patients, strengthen multidisciplinary communication and cooperation, and promote rehabilitation robots to better serve the rehabilitation medical field.

Developing Conversational Agents for Use in Criminal Investigations

The adoption of artificial intelligence (AI) systems in environments that involve high risk and high consequence decision-making is severely hampered by critical design issues. These issues include system transparency and brittleness, where transparency relates to (i) the explainability of results and (ii) the ability of a user to inspect and verify system goals and constraints; and brittleness, (iii) the ability of a system to adapt to new user demands. Transparency is a particular concern for criminal intelligence analysis, where there are significant ethical and trust issues that arise when algorithmic and system processes are not adequately understood by a user. This prevents adoption of potentially useful technologies in policing environments. In this article, we present a novel approach to designing a conversational agent (CA) AI system for intelligence analysis that tackles these issues. We discuss the results and implications of three different studies; a Cognitive Task Analysis to understand analyst thinking when retrieving information in an investigation, Emergent Themes Analysis to understand the explanation needs of different system components, and an interactive experiment with a prototype conversational agent. Our prototype conversational agent, named Pan, demonstrates transparency provision and mitigates brittleness by evolving new CA intentions. We encode interactions with the CA with human factors principles for situation recognition and use interactive visual analytics to support analyst reasoning. Our approach enables complex AI systems, such as Pan, to be used in sensitive environments, and our research has broader application than the use case discussed.

Learning, translating, and applying the perceive, recall, plan, perform system of task analysis assessment to practice: Occupational therapists’ experiences

Introduction This study explored occupational therapists’ experiences of embedding the Perceive, Recall, Plan, Perform System of Task Analysis (PRPP) assessment in practice and gained understandings of the clinical utility. Methods Qualitative interpretive description research using data from semi-structured interviews with 11 New Zealand registered occupational therapists and a focus group with two Māori occupational therapists. Thematic data analysis was used to develop themes. Results Five themes emerged: Resonating with practice as it should be, Translating to practice, Communicating assessment findings using an occupational performance focus on cognition, Validating the practice fit and Cultural application. Participants described the PRPP assessment as a flexible tool, which was applied in different ways in varied practice settings, with clients performing a range of culturally specific occupations. Embedding the assessment in practice was an involved process that challenged many participants’ existing assessment procedures and included managing team expectations to perform cognitive-based assessments. Conclusions The PRPP assessment added value to occupational therapists’ practice. Effective implementation of the assessment required a secure occupation-focused perspective and client-centred culturally responsive communication skills. Commitment was needed to both adopt a new assessment process and to communicate occupation-based assessment results. Participants connected as social learners to address practice challenges post-training.

Practitioner Perspectives on a Restorative Community: An Inductive Evaluative Study of Conceptual, Pedagogical, and Routine Practice

The purpose of this study is to explore restorative practice (RP) within education, highlighting practitioner views from an inductive evaluative perspective. This is in response to the suggested ambiguity over what constitutes RP in education. Practitioner perspectives are explored, providing an insight into an established restorative school. New data offer further clarity on RP in education by describing embedded practice and highlighting sites for further specific task analysis. Methods include semi-structured questionnaires in the form of employee practice statements, situated within insider research. Eleven practice statements were completed, which were then subject to in-depth thematic analysis. The main findings of this study suggest that RP is clearly understood in this educational setting and participants described a wholistic approach that is part of a wider culture, not just practice as an intervention. Analysis suggests that this can be categorised into the following three themes: Conceptual, Pedagogical and Routine Practice. When used alongside one another, it is suggested that these themes create a restorative paradigm, which is of relevance to the field of education. As such, this paper is designed to provide a useful resource for schools, policy makers and researchers alike.

Hierarchical Task Analysis Reimagined as a Planning Tool for Surgery During Exploration Space Flight

Background: Preparation for exploration class space flight requires planning to support human life in many circumstances including healthcare emergencies such as the need for acute surgical care, a notable example of which is appendicitis. Although performing a laparoscopic appendectomy on Earth is routine for a trained general surgeon, it is far from routine for a non-surgeon working in microgravity where IVs do not drip, drains do not drain, and gaseous anesthetic is out of the question. Because the procedure for laparoscopic appendectomy is so well documented, it was the ideal procedure on which to base a study on how to deconstruct a surgical procedure to examine all actions, skills, equipment, and supplies needed for success by non-surgeons working in an extreme environment. Study Design: Our challenge was to develop a task analysis model robust enough to include 3 performers (in the roles of surgeon, assistant, and anesthesiologist) including each action and instrument or supply item needed in chronological order, while indicating which actions were completed independently and which were done in tandem. We also had to indicate where variations in the actions would be determined by the negative response of the patient (failure mode), and which actions and supply items needed further research to accommodate working in microgravity. We opted to begin with a hierarchical task analysis model (HTA) because the steps in the task are sequential; but we expanded the typical linear presentation of data to a multi-column spread sheet with active links to instructional video clips where needed. Content development was an iterative process beginning with a scoping review of literature to select a baseline task analysis of the procedure. The SAGES 2010 approach was selected as most comprehensive, but logically focused on the surgeon’s performance with few references to the assistant or anesthesiologist. Those gaps were filled using content from training materials developed for surgical technicians and nurse anesthetists. The second step was an expert review of the spread sheet to identify gaps and inadequacies. The third step was a minute comparison of spread sheet content to actions and equipment as documented on 2 videotapes of the procedure performed by our team surgeon on otherwise healthy patients. The final review was accomplished by replicating the procedure on 360° video (with narration) using the spread sheet as a guide, then cross checking and correcting the spread sheet to correspond with the 360° video. This test procedure was performed on a lightly preserved, fresh cadaver since working at that very slow, deliberate pace would not be in the best interest of an actual patient. Results: In this study, simulation was actually used to test the expanded HTA rather than to evaluate a learner. The final spread sheet included 178 lines, 13 columns, 13 illustrations, and 4 active links to instructional video clips. Thirteen items or issues were identified as needing further research, 8 action sequences were identified as generalizable skills, and 27 supply or equipment items were identified as multipurpose. Excluding the pharmaceuticals necessary for IV general anesthesia (that research is on-going), we were able to replicate a laparoscopic appendectomy on a fresh cadaver using no more than 30 items. The procedure was done using 3 trocars with very few instrument exchanges through the trocars since the surgical assistant assumed the role of laparoscopic camera operator during the procedure. Conclusion: An expanded HTA of a surgical procedure can produce many useful outcomes including integrated training for all team members, review of instrumentation and supplies and, in our case, identifying areas for adapting to an extreme environment. Using an interdisciplinary team including instructional designers, subject matter experts from medicine and biomedical engineering, and media production enriched the process.