@conference {179, title = {Predicting Users{\textquoteright} Attention Breakpoints During Mobile Text Entry}, booktitle = {Proceedings of the 25th International Conference on Mobile Human-Computer Interaction}, year = {2023}, month = {sep}, publisher = {ACM}, organization = {ACM}, doi = {10.1145/3565066.3608747}, url = {https://doi.org/10.1145\%2F3565066.3608747}, author = {Ioulia Simou and Andreas Komninos} } @conference {176, title = {Pseudo-haptic and Self-haptic Feedback During VR Text Entry}, booktitle = {Proceedings of the 2nd International Conference of the ACM Greek SIGCHI Chapter}, year = {2023}, note = {Best Paper Award}, month = {sep}, publisher = {ACM}, organization = {ACM}, doi = {10.1145/3609987.3610002}, url = {https://doi.org/10.1145\%2F3609987.3610002}, author = {Maria Kounalaki and Ioulia Simou and Andreas Komninos} } @conference {171, title = {Prototyping a Digital Twin System for Environmental Education}, booktitle = {26th Pan-Hellenic Conference on Informatics with International Participation}, year = {2022}, publisher = {ACM}, organization = {ACM}, address = {Athens, Greece}, abstract = {Our time is characterized by big sprawling urban complexes that a majority of the human population chooses to live where interactions with the environment seem to be vanishing from our day to day lives. Our relationship with the planet{\textquoteright}s natural ecosystem is paramount to our survival and well-being, a relationship that begins to form during our childhood years. Considering the above we propose a novel system which aims to give the ability to children to interact with the natural environment even when they have no access to it, from the classrooms in which they spend considerable parts of their lives. Specifically the proposed system is based on the technology of the Digital Twin, a core pillar of the 4\textsuperscript{th} Industrial Revolution, and is comprised of a smart birdhouse and an electronic Digital Twin. The smart birdhouse can be deployed in a natural environment and collect atmospheric data like humidity and temperature values as well as record audio and pictures of possible bird visitors. At the same time the collected data will be available to the end user through a dashboard platform for atmospheric parameters and the digital electronic twin which will play the collected sound or pictures. With the above system we aim to achieve a greater and meaningful engagement of children with their natural habitat even when their urban environment makes it impractical or unfeasible.}, doi = {10.1145/3575879.3576018}, author = {Komninos, Andreas and Tsigkas, Georgios} } @article {150, title = {Predicting retail business success using urban social data mining}, journal = {Journal of Ambient Intelligence and Smart Environments}, volume = {12}, year = {2020}, pages = {263-277}, publisher = {IOS Press}, chapter = {263}, keywords = {Location analytics, Smart Cities, Smart Economy, social networks}, issn = {1876-1364}, doi = {10.3233/AIS-200561}, author = {Georgios Papadimitriou and Andreas Komninos and John Garofalakis} } @conference {144, title = {Performance of Raspberry Pi microclusters for Edge Machine Learning in Tourism}, booktitle = {Edge Machine Learning for Smart IoT Environments Workshop (EDGING), 2019 European Conference on Ambient Intelligence (AmI2019)}, year = {2019}, month = {11/2019}, publisher = {CEUR Workshop Proceedings}, organization = {CEUR Workshop Proceedings}, address = {Rome, Italy}, abstract = {While a range of computing equipment has been developed or proposed for use to solve machine learning problems in edge computing configurations, one of the least-explored options is the use of clusters of low-resource computing devices, such as the Raspberry Pi. Although such hardware configurations have been discussed in the past, their performance for ML tasks remains unexplored. In this paper, we discuss the performance of a Raspberry Pi micro-cluster, configured with industry-standard platforms, using Hadoop for distributed file storage and Spark for machine learning. Using the latest Raspberry Pi 4 model (quad core 1.5GHz, 4Gb RAM), we find encouraging results for use of such micro-clusters both for local training of ML models and execution of ML-based predictions. Our aim is to use such computing resources in a distributed architecture to serve tourism applications through the analysis of big data.}, keywords = {Cluster computing, Edge computing, Machine Learning, Raspberry Pi}, url = {http://ceur-ws.org/Vol-2492/paper2.pdf}, author = {Andreas Komninos and Ioulia Simou and Gkorgkolis, Nikolaos and John Garofalakis} } @article {129, title = {Pro-social Behaviour in Crowdsourcing Systems: Experiences from a field deployment for beach monitoring}, journal = {International Journal of Human-Computer Studies}, volume = {124}, year = {2019}, month = {04/2019}, pages = {93-115}, publisher = {Elsevier}, abstract = {The paper presents experiences from the rapid introduction and deployment of a data crowdsourcing and data sharing system, motivated by an urgent civic need arising due to the appearance of jellyfish in the swimming coastal areas of western Greece during the summer season. The system was tailored for mobile use and although the pressing need for its deployment negated the time for thorough design, a rich set of lessons and findings emerge from its public use by 13,340 users, over a period of 2 months, reporting over 1,800 times on the condition of 189 local beaches, of which 157 were added to the system by the users themselves. This work touches on issues of usability, motivation, data reliability and public utility of mobile participatory systems and demonstrates that effective outcomes for pubic bodies may rise when systems are designed for the immediate benefit of citizens, by openly exposing the collected data. Most importantly, participation in mobile crowdsourced systems where the data is openly shared between participants is found to be strongly driven by altruistic motives and not by financial or ethical awards. Additionally, the altruistic motives behind participation overcome the added difficulty of participating from a purely mobile use context, and safeguard the quality of the contributed data, reducing the need for complex quality monitoring and safeguarding mechanisms. Finally, the paper identifies barriers and opportunities for the opportunistic participation in mobile crowdsourcing systems during leisure time.}, keywords = {Citizen participation, Crowdsourcing, Environmental monitoring, Mobile Computing, Urban computing}, issn = {1071-5819}, doi = {10.1016/j.ijhcs.2018.12.001}, url = {http://www.sciencedirect.com/science/article/pii/S1071581918301162}, author = {Andreas Komninos} } @conference {115, title = {Perceptibility of Mobile Notification Modalities During Multitasking in Smart Environments}, booktitle = {14th International Conference on Intelligent Environments (IE {\textquoteright}18)}, year = {2018}, publisher = {IEEE}, organization = {IEEE}, address = {Rome, Italy}, abstract = {Smartphone notifications are a major source of interaction with mobile devices. In this paper we address a gap in literature by establishing a foundation that explains the role of modalities with which a notification is delivered on a mobile device. Though previous studies have attempted to address this question, we find that they suffer from significant internal validity problems. As such we conducted an ecologically valid and carefully designed experiment in a controlled environment that simulates a smart home environment. Our work extends into smart environments, by examining a new modality, implemented by pairing the smartphone to a connected lighting system and replicating mobile notifications to smart light bulbs in the user{\textquoteright}s field of vision. We derive a set of guidelines for choosing notification modalities and set future research directions.}, doi = {10.1109/IE.2018.00011}, author = {Andreas Komninos and Jeries Besharat and Vasilios Stefanis and John Garofalakis} } @conference {120, title = {Predicting User Responsiveness to Smartphone Notifications for Edge Computing}, booktitle = {2018 European Conference on Ambient Intelligence (AmI-18)}, year = {2018}, note = {Best paper award}, month = {10/2018}, publisher = {Springer}, organization = {Springer}, address = {Larnaca, Cyprus}, abstract = {Edge computing requires the addressing of several challenges in terms of privacy, complexity, bandwidth and battery life. While in the past attempts have been made to predict users{\textquoteright} responsiveness to smartphone notifications, we show that this is possible with a minimal number of just three features synthesized from non-sensor based data. Our approach demonstrates that it is possible to classify user attentiveness to notifications with good accuracy, and predict response time to any type of notification within a margin of 1 minute, without the need for personalized modelling.}, keywords = {Attentivity, Notifications, Responsiveness, Smartphones}, doi = {10.1007/978-3-030-03062-9_1}, author = {Andreas Komninos and Elton Frengkou and John Garofalakis} } @article {92, title = {A Participatory Design and Formal Study Investigation into Mobile Text Entry for Older Adults}, journal = {International Journal of Mobile Human Computer Interaction}, volume = {8}, year = {2016}, month = {05/2016}, pages = {20{\textendash}46}, publisher = {IGI Global}, abstract = {Text entry remains key to many tasks on touchscreen smartphones and is an important factor in the usability of such devices. The known problems of text entry can be particularly acute for older adults due to physical and cognitive issues associated with ageing. In a study of mobile text entry the authors employed a variety of participatory design and formal comparative study techniques in order to explore the requirements of this group of users and to discover the key differences in texting activity between them and younger users of mobile devices. They report on the findings of a lab study of texting behaviour of older adults. The authors{\textquoteright} findings indicate differences in attitudes to texting styles and tasks between older and younger adults. They also identify some differences in typing behaviour and reflect on methods.}, keywords = {Older Adults, Participatory Design, Qualitative and Quantitative Studies, text entry}, doi = {10.4018/ijmhci.2016040102.oa}, url = {http://dx.doi.org/10.4018/ijmhci.2016040102.oa}, author = {Emma Nicol and Andreas Komninos and Mark D Dunlop} } @proceedings {114, title = {Proceedings of Workshop and Poster Papers of the European Conference on Ambient Intelligence 2015 (AmI-15)}, volume = {1528}, year = {2015}, month = {12/2015}, publisher = {CEUR}, address = {Athens, Greece}, abstract = {The European Conference on Ambient Intelligence (AmI, http://www.amiconferences.org/) is the prime venue for research on Ambient Intelligence, with an international and interdisciplinary character. It brings together researchers from the fields of science, engineering and design, working towards the vision of Ambient Intelligence. AmI-15 was held in Athens, Greece, November 11-13, 2015 (http://www.ami-conferences.org/2015/) and provided a meeting point for each of these communities, aiming for intensive networking and scientific debate, as well as shaping visions of the future. This CEUR Volume corresponds to the adjunct proceedings of AmI-15, containing the poster papers as well as the papers presented in the Workshop entitled {\textquotedblleft}Affective Interaction with Avatars{\textquotedblright}, which was organized by Carsten Stockl{\"o}w, Sten Hanke, Maher Ben Moussa, Panayiotis Andreou and Christiana Tsiourti, and held in the scope of the EU-funded Miraculous-Life project (http://www.miraculous-life.eu/). All the contributions have been reviewed by at least three experts, comprising of members of the AmI-15 Committee and external reviewers, as listed below: Honorary Chair Emile Aarts, Tilburg University, The Netherlands Conference Chairs Achilles Kameas, Hellenic Open University, Greece Irene Mavrommati, Hellenic Open University, Greece Program Chairs Boris De Ruyter, Philips Research, The Netherlands Periklis Chatzimisios, Alexander TEI of Thessaloniki, Greece Thematic Chairs Massimo Zancanaro, Bruno Kessler Foundation, Italy Reiner Wichert, Fraunhofer, Germany Vassilis Kostakos, University of Oulu, Finland Dimitris Charitos, National Kapodistrian University of Athens, Greece Christos Goumopoulos, University of the Aegean, Greece Ioannis Chatzigiannakis, University of Rome La Sapienza, Italy Vanessa Evers, University of Twente, The Netherlands Workshops Chairs Andreas Komninos, University of Strathclyde, UK Vassilis Koutkias, INSERM, Paris, France Posters and Demos Petros Nikopolitidis, Aristotle University of Thessaloniki, Greece Javed Vassilis Khan, Eindhoven University of Technology, The Netherlands}, url = {http://ceur-ws.org/Vol-1528/}, author = {Vassilios Koutkias and Andreas Komninos and Javed Vassilis Khan and Petros Nikopolitidis} } @conference {stefanis2012patterns, title = {Patterns of usage and context in interaction with communication support applications in mobile devices}, booktitle = {Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services}, year = {2012}, pages = {25{\textendash}34}, publisher = {ACM}, organization = {ACM}, address = {San Francisco, USA}, keywords = {Contact Lists, Context awareness, Mobile PIM}, doi = {10.1145/2371574.2371579}, author = {Vasilios Stefanis and Athanasios Plessas and Andreas Komninos and John Garofalakis} } @conference {barrie2009pervasive, title = {A pervasive gesture-driven augmented reality prototype using wireless sensor body area networks}, booktitle = {Proceedings of the 6th International Conference on Mobile Technology, Application \& Systems}, year = {2009}, pages = {61}, publisher = {ACM}, organization = {ACM}, address = {Nice, France}, keywords = {Augmented Reality, Body Area Networks, Gesture Recognition, HCI, Mobile Computing, Orientation, User Interaction, Wireless sensor networks}, doi = {10.1145/1710035.1710096}, author = {Barrie, Peter and Andreas Komninos and Mandrychenko, Oleksii} } @conference {carnegie2009preliminary, title = {A preliminary evaluation of head and facial feature tracking for input on mobile devices}, booktitle = {Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services}, year = {2009}, pages = {80}, publisher = {ACM}, organization = {ACM}, address = {Bonn, Germany}, keywords = {computer vision, Mobile device interfaces, text input}, doi = {10.1145/1613858.1613952}, author = {Carnegie, Kathryn and Fleming, Stuart and Ammirahimi, Esfandiar and Andreas Komninos} } @mastersthesis {komninos2005personal, title = {Personal Predictive Internet Content Pre-caching for Mobile Devices}, volume = {Doctor of Philosophy}, year = {2005}, school = {University of Strathclyde}, type = {Ph.D. Thesis}, keywords = {adaptive systems, HCI, intelligent systems, Mobile Computing, Mobile information retrieval, mobile interaction, Pre-caching}, author = {Andreas Komninos} }