Social Robots in Hospitals: A Systematic Review

Hospital environments are facing new challenges this century. One of the most important is the quality of services to patients. Social robots are gaining prominence due to the advantages they offer; in particular, several of their main uses have proven beneficial during the pandemic. This study aims to shed light on the current status of the design of social robots and their interaction with patients. To this end, a systematic review was conducted using WoS and MEDLINE, and the results were exhaustive analyzed. The authors found that most of the initiatives and projects serve the el- derly and children, and specifically, that they helped these groups fight diseases such as dementia, autism spectrum disorder (ASD), cancer, and diabetes

Psychology, Learning, Technology

This open access book constitutes the refereed proceedings of 1st International Workshop on Psychology, Learning, Technology, PLT 2022, Foggia, Italy, during January 2022. The 8 full papers presented here were carefully reviewed and selected from 23 submissions. In addition, one invited paper is also included. Psychology, Learning, ad Technology Conference (PLT2022) aims to explore learning paths that incorporate digital technologies in innovative and transformative ways and the improvement of the psychological and relational life. The conference includes topics about the methodology of application of the ICT tools in psychology and education: from blended learning to the application of artificial intelligence in education; from the teaching, learning, and assessment strategies and practices to the new frontiers on Human-Computer Interaction

Psychology, Learning, Technology

This open access book constitutes the refereed proceedings of 1st International Workshop on Psychology, Learning, Technology, PLT 2022, Foggia, Italy, during January 2022. The 8 full papers presented here were carefully reviewed and selected from 23 submissions. In addition, one invited paper is also included. Psychology, Learning, ad Technology Conference (PLT2022) aims to explore learning paths that incorporate digital technologies in innovative and transformative ways and the improvement of the psychological and relational life. The conference includes topics about the methodology of application of the ICT tools in psychology and education: from blended learning to the application of artificial intelligence in education; from the teaching, learning, and assessment strategies and practices to the new frontiers on Human-Computer Interaction

Improving cybercrime reporting in Scotland : a systematic literature review

Background: The UK system for reporting economic cybercrime is called Action Fraud (AF). AF has been found to prioritise high value and low volume crimes. Therefore, people who have been scammed out of less than £100 000 are less likely to have their crime investigated via AF. Consequently, Scotland severed its ties with AF and proceeded to develop its own systems for reporting low value and high-volume crimes. Another problem with AF was that its reports were inaccurate and incomplete. Interestingly, since the 1930s the compilation and investigation of crime reports has always suffered from inaccuracies and discrepancies. This pattern has not been reversed by rapid technological development. Instead, the trend is preserved, not just in the UK, but across the globe. Aim: An exploration of how to improve cybercrime reporting in Scotland was implemented via a systematic literature review the results of which will inform upcoming fieldwork. Due to the lack of data on Scotland, frequent extrapolations were conducted from both the UK and the West. The research questions were: 1. What is known about cybercrime in the UK to date? 2. What is known about cybercrime victims in the UK to date? 3. What is known about cybercrime reporting to date? Method and Analysis: The answers were retrieved by combining Boolean variables with keywords into Scopus, Web of Science and ProQuest. This resulted in the inclusion of 100 peer-reviewed articles (after the exclusion of unsuitable ones). The articles were analysed using Inductive thematic analysis (ITA). The underlying principle of ITA is based on data immersion to identify the themes within. This analysis revealed a common trend, a novel taxonomy, and an original conclusion. Results: The common trend is that of responsibilisation, which is the shifting of responsibility for policing cybercrime from the government onto the citizens and private sector. For example, the government educating citizens about the risks of cybercrime and disengaging with them thereafter is a case of responsibilisation. This is because the government sees it as the victims’ responsibility to follow its advice. One problem of responsibilisation in cybercrime is that if one person is attacked, then many computers can become infected through their error. Therefore, the government should step-up to the task of protecting its citizens. The novel taxonomy is for classifying cybercrime reporting systems according to three pillars, which I referred to as Human-To-Human (H2H), Human-To-Machine (H2M) and Machine-To-Machine (M2M). The advantage of this classification is parsimony, the disadvantage is reductionism. The risk of reductionism applies specifically to crimes that sit in between pillars. Conclusion: To improve cybercrime reporting in Scotland, the process needs to be treated also as a social one rather than a purely mathematical one. This can be achieved by engaging with psychological principles of how emotionally charged social interactions are encoded into memory. Understanding memory will help the police record cybercrime reports in an effective way. This research will impact society because it serves as a foundation for fieldwork with victims of cybercrime and the police tasked with those investigations. The results of the upcoming fieldwork will serve to inform national guidance on how to improve the reporting of cybercrime, which will reduce it and give victims living in Scotland a sense of closure

Accessibility of Health Data Representations for Older Adults: Challenges and Opportunities for Design

Health data of consumer off-the-shelf wearable devices is often conveyed to users through visual data representations and analyses. However, this is not always accessible to people with disabilities or older people due to low vision, cognitive impairments or literacy issues. Due to trade-offs between aesthetics predominance or information overload, real-time user feedback may not be conveyed easily from sensor devices through visual cues like graphs and texts. These difficulties may hinder critical data understanding. Additional auditory and tactile feedback can also provide immediate and accessible cues from these wearable devices, but it is necessary to understand existing data representation limitations initially. To avoid higher cognitive and visual overload, auditory and haptic cues can be designed to complement, replace or reinforce visual cues. In this paper, we outline the challenges in existing data representation and the necessary evidence to enhance the accessibility of health information from personal sensing devices used to monitor health parameters such as blood pressure, sleep, activity, heart rate and more. By creating innovative and inclusive user feedback, users will likely want to engage and interact with new devices and their own data