DMAC Lab (Data Management in Mobile and Adaptive Computing) - DMAC Lab Web-site
The DMAC Lab has a long term experience in working in the areas of database and data management systems, adaptive interactive systems, ICT-based personalised solutions, virtual collaborative care networks and distributed mobile systems (with a focus on intelligent applications that combine gracefully smart wearable and mobile devices). Our research team has a long term participation in research projects funded from national and international organisations, including the European Union and the Cyprus Research Foundation (RPF).
The research is held in the following research goups at the University of Cyprus:
Human-centered Computing Group
The Human-centered Computing group works in the interdisciplinary areas of Human-Computer Interaction, Human-centered User Modelling, Adaptive User Interfaces, and Human Cognition and Emotions. HCC is investigating the influence of human cognitive and emotional aspects in interactive systems aiming to drive the design and development of adaptive and personalized solutions to the unique characteristics of the end-users. The lab works on three main research directions: i) Human Factors Research: Investigating the influence of human cognitive and emotional factors in a variety of application domains (usable security, e-commerce, e-learning); ii) User Modeling Research: Design and development of innovative user modeling mechanisms that leverage on knowledge inferred from smart wearable, eye-tracking and holographic devices; and iii) Personalization Research: Design and development of innovative human-centered adaptive interactive systems for improving user experiences and performance in various settings such as desktop, mobile, wearable and mixed/augmented reality.
SCRAT Group - Semantic and Cognitive Research Adaptivity Technologies
SCRAT Group's reasearch focus is on Web Personalization and Adaptation, eLearning, Semantics, Meta Information, Intelligent Systems. SCRAT Group's vision is to develop a dynamic comprehensive personalization filter
that will be based on the automatic extraction of humans' most intrinsic values,
namely, User Perceptual Preference Characteristics, and serve as the prime element
of any entity (Web-based system, advanced training system, mobile system, virtual
environment, spacecraft, aircraft, robot, etc.), liable to accept any type of semantic
content, alter and return it, adjusted to the unique characteristics and preferences
of the user. User Perceptual Preference Characteristics (UPPC) are all "the critical
factors that influence the visual, mental and emotional processes liable of manipulating
the newly information received and building upon prior knowledge, that is different
for each user or user group. These characteristics determine the visual attention,
cognitive and emotional processing taking place throughout the whole process of
accepting an object of perception (stimulus) until the comprehensive response to
it".
AAL Group - Ambient Assisted Living
The AAL JP group’s activities aim to create better condition of life for the older
adults and to strengthen the industrial opportunities in Europe through the use
of information and communication technology (ICT). The group is focusing on integrating
the latest research in fall prevention, geriatric exercise physiology, imagery for
healing, and brain fitness in our holistic, mind-body approach to healthy living
for all stages of aging and supports the elderly’s activities of daily life. It
carries out its mandate through the funding of national and international projects
that involves small and medium enterprises (SME), research bodies and user’s organizations
(representing the older adults).
Distributed Mobile Systems Group
Our team has been working towards realizing innovative mobile solutions that leverage the knowledge inferred from sensors embedded in smart wearable and mobile devices (e.g., user emotions, physical activity, mobile device resource utilization, etc.) for improving user experiences and performance in various mobile application domains. Representative research projects in this line of work include: an adaptive mobile advertising framework based on user characteristics and mobile resource utilization; a middleware for combining heterogeneous wearable technologies in mobile apps with minimal developer effort; and mobile/wearable frameworks for assisting people with disabilities (e.g., people with hearing and vision impairments) in engaging seamlessly with their surrounding environment using the advanced capabilities offered by today's smart wearable devices.