Age-appropriate information technology on the advance: Putting paid to olden times

Ageing society opens up enormous economic potential. Whereas for a long time social interpretation homed in on the doomsday scenarios of demographic change, it is the economic potential that is now emerging with increasing clarity. Information and communication technologies stand a good chance of benefiting from this trend. Older people are not intrinsically technology refuseniks, as evidenced by the growing number of silver agers using the internet. Successful products will be far removed from disenfranchisement and stigmatisation. The challenge to product developers and marketing strategists is to create age-appropriate offers that older people do not perceive as encroaching on their autonomy or pointing up their physical infirmities. Particularly promising are offers enabling barrier-free use without seeming like segregational solutions for specific age groups. User friendliness, value systems and the legal framework are currently stymieing yet wider success. Technical fascination aside, the business potential hinges directly on regulations concerning data protection, teletreatment and cost reimbursement, on user friendliness and society’s attitude towards the application of robotics in medicine and healthcare. The tasks involved are enormous. Product developers, marketing strategists, physicians, nurses and carers, politicians and older people in need of help themselves must be prepared to take the new routes. Assistance systems, e-Health and health games benefit from demographic change. The range of offers is highly diversified. They extend from ‘intelligent’ tablet dispensers, emergency bio sensor technology in motor vehicles and motion sensor technology through tele-monitoring and online consultations to brain jogging and exercise games.demographics, technology,ICT, e-Health, games, AAL, assistance systems

Intelligent multimedia communication for enhanced medical e-collaboration in back pain treatment

This is the post-print version of the Article. The official published version can be accessed from the link below - Copyright @ 2004 SAGE PublicationsRemote, multimedia-based, collaboration in back pain treatment is an option which only recently has come to the attention of clinicians and IT providers. The take-up of such applications will inevitably depend on their ability to produce an acceptable level of service over congested and unreliable public networks. However, although the problem of multimedia application-level performance is closely linked to both the user perspective of the experience as well as to the service provided by the underlying network, it is rarely studied from an integrated viewpoint. To alleviate this problem, we propose an intelligent mechanism that integrates user-related requirements with the more technical characterization of quality of service, obtaining a priority order of low-level quality of service parameters, which would ensure that user-centred quality of perception is maintained at an optimum level. We show how our framework is capable of suggesting appropriately tailored transmission protocols, by incorporating user requirements in the remote delivery of e-health solutions

Improving fairness in machine learning systems: What do industry practitioners need?

The potential for machine learning (ML) systems to amplify social inequities and unfairness is receiving increasing popular and academic attention. A surge of recent work has focused on the development of algorithmic tools to assess and mitigate such unfairness. If these tools are to have a positive impact on industry practice, however, it is crucial that their design be informed by an understanding of real-world needs. Through 35 semi-structured interviews and an anonymous survey of 267 ML practitioners, we conduct the first systematic investigation of commercial product teams' challenges and needs for support in developing fairer ML systems. We identify areas of alignment and disconnect between the challenges faced by industry practitioners and solutions proposed in the fair ML research literature. Based on these findings, we highlight directions for future ML and HCI research that will better address industry practitioners' needs.Comment: To appear in the 2019 ACM CHI Conference on Human Factors in Computing Systems (CHI 2019

Getting connected- at what cost? Some ethical issues on mobile HCI

The large scale deployment of mobile applications inevitably affects our daily lives and the whole culture. Not all of these effects are desirable. In a market economy, ethical issues are not the foremost drivers in the development of technology. In this paper, we ask whether the mobile human-computer interaction community could take an active role in discussing the issues which really matter in the development of technology for human beings, rather than concentrating on the fine tuning of emerging gadgets

Intelligent multimedia transmission for back pain treatment

Copyright @ 2002 EUNITERemote, multimedia-based, collaboration in back pain treatment is an option which only recently has come to the attention of clinicians and IT providers. The take up of such applications will inevitably depend on their ability to produce an acceptable level of service over congested and unreliable public networks However, although the problem of multimedia application-level performance is closely linked to both the user perspective of the experience as well as to the service provided by the underlying network, it is rarely studied from an integrated viewpoint. To alleviate this problem in the context of a multimedia application, a method is proposed in this paper for obtaining a priority order of low-level Quality of Service parameters, which would ensure that user-level Quality of Perception is maintained at an optimum level. Thus we present an approach that integrates technical concerns with user perceptual considerations for intelligent decision-making in the construction of tailor-made multimedia communication protocols. The proposed approach, based on multicriteria decision making, incorporates not only classical networking considerations, but, indeed, user preferences as well. Moreover, our approach also opens the possibility for such protocols to dynamically adapt based on a changing operating environment and user preferences

Biosignal and context monitoring: Distributed multimedia applications of body area networks in healthcare

We are investigating the use of Body Area Networks (BANs), wearable sensors and wireless communications for measuring, processing, transmission, interpretation and display of biosignals. The goal is to provide telemonitoring and teletreatment services for patients. The remote health professional can view a multimedia display which includes graphical and numerical representation of patients’ biosignals. Addition of feedback-control enables teletreatment services; teletreatment can be delivered to the patient via multiple modalities including tactile, text, auditory and visual. We describe the health BAN and a generic mobile health service platform and two context aware applications. The epilepsy application illustrates processing and interpretation of multi-source, multimedia BAN data. The chronic pain application illustrates multi-modal feedback and treatment, with patients able to view their own biosignals on their handheld device