150,612 research outputs found

    Challenges in Developing Applications for Aging Populations

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    Elderly individuals can greatly benefit from the use of computer applications, which can assist in monitoring health conditions, staying in contact with friends and family, and even learning new things. However, developing accessible applications for an elderly user can be a daunting task for developers. Since the advent of the personal computer, the benefits and challenges of developing applications for older adults have been a hot topic of discussion. In this chapter, the authors discuss the various challenges developers who wish to create applications for the elderly computer user face, including age-related impairments, generational differences in computer use, and the hardware constraints mobile devices pose for application developers. Although these challenges are concerning, each can be overcome after being properly identified

    A software for aging faces applied to ancient marble busts

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    The study and development of software able to show the effect of aging of faces is one of the tasks of face recognition technologies. Some software solutions are used for investigations, some others to show the effects of drugs on healthy appearance, however some other applications can be proposed for the analysis of visual arts. Here we use a freely available software, which is providing interesting results, for the comparison of ancient marble busts. An analysis of Augustus busts is proposed.Comment: Image processing. Aging faces. Freely available software. Ancient marble busts. Augustu

    Age Progression and Regression with Spatial Attention Modules

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    Age progression and regression refers to aesthetically render-ing a given face image to present effects of face aging and rejuvenation, respectively. Although numerous studies have been conducted in this topic, there are two major problems: 1) multiple models are usually trained to simulate different age mappings, and 2) the photo-realism of generated face images is heavily influenced by the variation of training images in terms of pose, illumination, and background. To address these issues, in this paper, we propose a framework based on conditional Generative Adversarial Networks (cGANs) to achieve age progression and regression simultaneously. Particularly, since face aging and rejuvenation are largely different in terms of image translation patterns, we model these two processes using two separate generators, each dedicated to one age changing process. In addition, we exploit spatial attention mechanisms to limit image modifications to regions closely related to age changes, so that images with high visual fidelity could be synthesized for in-the-wild cases. Experiments on multiple datasets demonstrate the ability of our model in synthesizing lifelike face images at desired ages with personalized features well preserved, and keeping age-irrelevant regions unchanged

    An Exploration of Experiences of Transdisciplinary Research in Aging and Technology

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    Transdisciplinary research (TDR) involves academics/scientists collaborating with stakeholders from diverse disciplinary and sectoral backgrounds. While TDR has been recognized as beneficial in generating innovative solutions to complex social problems, knowledge is limited about researchers' perceptions and experiences of TDR in the aging and technology field. We conducted a qualitative study to address this knowledge gap by exploring how members of a pan-Canadian research network on aging and technology perceived and experienced TDR. Thirty members participated in semi-structured interviews. Interview data were analyzed thematically. Participants identified benefits that can be gained from implementing TDR, including mutual learning, improved capacity to understand and solve problems, and community engagement and empowerment. Participants also identified challenges to implementing TDR: communication issues and conflicting priorities among team members; tensions between traditional and TDR approaches; and difficulties identifying partners and developing partnerships. In addition, contradictions between TDR principles and participants' understanding of them became apparent. Nevertheless, some participants described successful strategies for implementing transdisciplinary principles in their projects: stakeholder engagement; language and goal sharing; and open, respectful communication. We offer recommendations to support TDR in aging and technology that focus on education and reform of the culture and values that can constrain efforts to practice TDR.Im Rahmen transdisziplinärer Forschung (TDF) arbeiten Wissenschaftler*innen mit Stakeholdern unterschiedlicher disziplinärer und sektoraler Herkunft zusammen. Während es mittlerweile akzeptiert scheint, dass TDF hilfreich ist, um innovative Lösungen für komplexe soziale Probleme zu generieren, ist das Wissen um Wahrnehmungen und Erfahrungen transdisziplinärer Forscher*innen im Bereich Alter(n) und Technologie vergleichsweise gering. Mittels einer qualitativen Studie mit Mitgliedern eines Pan-Kanadischen Forschungsnetzwerks haben wir versucht, diese Wissenslücke zu schließen. Mit 33 Mitgliedern des Netzwerkes wurden teilstrukturierte Interviews geführt, die thematisch analysiert wurden. Zu den berichteten Benefits von TDF gehörten u.a. wechselseitiges Lernen, verbesserte Möglichkeiten zum Verstehen und Lösen von Problemen  sowie Zugehörigkeit zu und Einbettung in die jeweilige Community. Erlebte Herausforderungen betrafen insbesondere kommunikative Schwierigkeiten und Prioritätskonflikte im Team, Spannungen zwischen Vertreter*innen von traditionellen vs. TDF-Ansätzen sowie Hindernisse beim Identifizieren von potenziellen Partner*innen. Zusätzliche waren Widersprüche zwischen TDF-Prinzipien und deren Verständnis durch die Interviewten offensichtlich. Einige der Gesprächspartner*innen haben gleichwohl Strategien beschrieben, die auf eine erfolgreiche Implementierung transdisziplinärer Prinzipien verweisen, nämlich das Engagement von Stakeholdern, das Teilen von Zielen und Sprachen sowie eine offene, respektvolle Kommunikation. Hiervon ausgehend bieten wir Empfehlungen für TDF zu Alter(n) und Technologie mit einem Fokus auf Bildung und auf eine Reform von Kulturen und Werten, die in der Praxis Bemühungen um TDF entgegenstehen
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