@conference {178,
	title = {Modelling human behavior during text entry},
	booktitle = {Proceedings of the 25th International Conference on Mobile Human-Computer Interaction},
	year = {2023},
	month = {sep},
	publisher = {ACM},
	organization = {ACM},
	doi = {10.1145/3565066.3609739},
	url = {https://doi.org/10.1145\%2F3565066.3609739},
	author = {Ioulia Simou and Andreas Komninos}
}
@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}
}
@article {174,
	title = {A Review of Design and Evaluation Practices in Mobile Text Entry for Visually Impaired and Blind Persons},
	journal = {Multimodal Technologies and Interaction},
	volume = {7},
	year = {2023},
	pages = {22},
	abstract = {Millions of people with vision impairment or vision loss face considerable barriers in using mobile technology and services due to the difficulty of text entry. In this paper, we review related studies involving the design and evaluation of novel prototypes for mobile text entry for persons with vision loss or impairment. We identify the practices and standards of the research community and compare them against the practices in research for non-impaired persons. We find that there are significant shortcomings in the methodological and result-reporting practices in both population types. In highlighting these issues, we hope to inspire more and better quality research in the domain of mobile text entry for persons with and without vision impairment.},
	issn = {2414-4088},
	doi = {10.3390/mti7020022},
	url = {https://www.mdpi.com/2414-4088/7/2/22},
	author = {Komninos, Andreas and Stefanis, Vassilios and Garofalakis, John}
}
@conference {168,
	title = {LEDBoard: Using visual feedback to support text entry with physical keyboards},
	booktitle = {14th International Conference on Ubiquitous Computing \& Ambient Intelligence (UCAmI 2022)},
	year = {2022},
	publisher = {Springer Cham},
	organization = {Springer Cham},
	address = {Cordoba, Spain},
	abstract = {Physical keyboards persist as one of the most common input devices for personal computers. Low familiarity with the keyboard translates to frustration during text entry, as the user constantly shifts their attention between the keyboard and the screen, in order to locate the next key to press, and to inspect input for errors. To decrease the need for attention shifts, we present physical keyboard typists with visual feedback, within their field of view, using an RGB LED strip to indicate spelling errors in different colours. We conducted a user experiment with 36 participants. Users{\textquoteright} performance was evaluated a) without visual feedback, b) showing feedback with a LED strip on the keyboard, and c) showing feedback with a LED strip at the bottom of the screen. We find that our prototype improves corrective action behaviour for slow typists and reduces screen-glancing behaviour for fast typists.},
	keywords = {Intelligent keyboards, Physical keyboards, text entry, Text Entry Support, Visual feedback},
	doi = {10.1007/978-3-031-21333-5_85},
	author = {Komninos, Andreas and Kavvathas, Vassilios and Simou, Ioulia}
}
@conference {172,
	title = {Text Entry Research - The last 5 years (2018-2022)},
	booktitle = {TEXT2030 - Shaping Text Entry Research for 2030, Workshop in conjunction with ACM MobileHCI{\textquoteright}22},
	year = {2022},
	address = {Vancouver, Canada},
	abstract = {In this paper, we present a bibliometric study of text entry research between 2018 and mid-2022. From this analysis, we identify the per- formance and relative challenges facing the text entry community, on the road to the next decade of research. We identify the community{\textquoteright}s low collaboration practices as a main barrier to progress, and propose several ideas on how to overcome this challenge.},
	keywords = {Bibliometrics, text entry},
	author = {Komninos, Andreas and Simou, Ioulia}
}
@conference {167,
	title = {TEXT2030 - Shaping Text Entry Research in 2030},
	booktitle = {Adjunct Publication of the 24th International Conference on Human-Computer Interaction with Mobile Devices and Services},
	year = {2022},
	publisher = {Association for Computing Machinery},
	organization = {Association for Computing Machinery},
	address = {New York, NY, USA},
	abstract = {We propose a workshop on the theme of ubiquitous text entry research. Our aim is to address the methodological challenges arising from several decades of experience in this research community. We hope to solicit views, experiences and ideas from researchers across a range of backgrounds, with a view to formulate concrete action plans to move community practices into a strengthened position by 2030.},
	keywords = {methodological challenges, scientific practice, text entry},
	isbn = {9781450393416},
	doi = {10.1145/3528575.3551429},
	url = {https://doi.org/10.1145/3528575.3551429},
	author = {Dunlop, Mark D. and Stuerzlinger, Wolfgang and Arif, Ahmed Sabbir and Komninos, Andreas and Alharbi, Ohoud}
}
@conference {155,
	title = {Challenges in Mobile Text Entry using Virtual Keyboards for Low-Vision Users},
	booktitle = {19th International Conference on Mobile and Ubiquitous Multimedia (MUM 2020)},
	year = {2020},
	publisher = {ACM},
	organization = {ACM},
	address = {Essen, Germany},
	abstract = {Mobile text entry for sighted and blind persons has received much research attention. However, much less is known about meeting the text entry needs of persons with low vision, whose ability to use the visual channel alongside audio, speech and haptic modalities, may open unexplored opportunities for efficient and privacy-preserving mobile text entry. We present findings from a qualitative study with 9 low vision users, revealing current text entry challenges for this user group, and providing future directions for text entry research.},
	keywords = {accessibility, low-vision users, Mobile Text Entry, virtual keyboards},
	doi = {10.1145/3428361.3428391},
	author = {Vasilios Stefanis and Andreas Komninos and John Garofalakis}
}
@article {157,
	title = {Where am I? Predicting user location semantics from engagement with smartphone notifications},
	journal = {Journal of Ambient Intelligence and Humanized Computing},
	year = {2020},
	month = {11/2020},
	publisher = {Springer},
	abstract = {Location semantics are important for the delivery of context-aware ubiquitous services to users, such as the contextually-relevant handling of interruptions on mobile devices. For such purposes, user coordinates can be used to query global venue databases, to get back the likely venue (and its categories) where the user is located. This potentially compromises user privacy, allowing service providers to track users. We analyse data from a longitudinal study of 44 participants (university students and staff in Patras, Greece), including notification handling, device state and location information. Using semantic labels from the Google Places API as ground truth, we demonstrate that it is possible to semantically label a user{\textquoteright}s location based on their notification handling behaviour, even when location coordinates are obfuscated so as not to precisely match known venue locations. On the other hand, the reliability of this ground truth is questioned through a crowdsourcing exercise. We demonstrate that Places API data can only be reliably used for some venue categories, and recommend best practices for using such data to establish ground truth in location context aware services.},
	keywords = {Interruption management, Location Services, Mobile notifications, Semantic location labelling},
	issn = {1868-5145},
	doi = {10.1007/s12652-020-02680-x},
	url = {https://doi.org/10.1007/s12652-020-02680-x},
	author = {Andreas Komninos and Ioulia Simou and Frengkou, Antonis-Elton and Gkorgkolis, Nikolaos and John Garofalakis}
}
@article {132,
	title = {Assessing the Perceptibility of Smartphone Notifications in Smart Lighting Spaces},
	journal = {Journal of Ambient Intelligence and Smart Environments},
	volume = {11},
	year = {2019},
	month = {05/2019},
	pages = {277-297},
	publisher = {IOS Press},
	abstract = {In smart spaces with connected smart lighting, there is an opportunity to deliver smartphone notifications using peripheral light, along with using standard smartphone modalities such as sound, vibration and LEDs, in order to help a user perceive them without constantly monitoring their mobile device. In this paper, we examine the effectiveness of on-device and extra-device modalities through smart lighting. 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. For this purpose, we conducted two ecologically valid and carefully designed experiments in a controlled environment that simulates multitasking in a smart home environment, and demonstrate that modality preferences are dependent on the environment context, by analysing subjective user data through a machine learning approach. We derive a set of guidelines for choosing notification modalities and set future research directions.},
	keywords = {Ambient lighting notifications, Mobile notifications, Notification modalities, Smart environments, Smart homes},
	doi = {10.3233/AIS-190525},
	author = {Andreas Komninos and Jeries Besharat and Vasilios Stefanis and Gogoulou, Georgia and John Garofalakis}
}
@conference {140,
	title = {Building an Industrial IoT Infrastructure with open Source Software for Smart Energy},
	booktitle = {First International Conference on Societal Automation},
	year = {2019},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Krakow, Poland},
	abstract = {Internet of Things is the cornerstone of most of the modern technological achievements and one of the biggest sources of data. The millions of Mbytes generated by telemetry sensors are already used for statistical analysis or the creation of prediction models used in various applications in the area of smart cities, smart building, smart health, smart energy, etc. From the other hand, the expansion of IoT forced the need of more standardized approaches such the ones used in industrial automation. The Industrial Internet of Things, as part of Industry 4.0 concept, promotes the cyber physical systems (CPS) as sensors and actuators that will build the modern automation world in and out of the factories. This article studies the IIoT reference architectures and the existing open source IoT platforms for proposing an integrated architecture for installing IIoT infrastructure that can collect and analyze big volume of data, easy and with low cost. The approach is evaluated in a smart building scenario.},
	keywords = {industrial IoT, IoT architecture, open source software, smart energy},
	doi = {10.1109/SA47457.2019.8938057},
	author = {Alexakos, Christos and Andreas Komninos and Anagnostopoulos, Christos and Kalogeras, George and Savvopoulos, Alkiviadis and Athanasios Kalogeras}
}
@inbook {138,
	title = {Design and Run-time aspects of Secure Cyber Physical Systems},
	booktitle = {Biffl S., Eckhart M., L{\"u}der A. \& Weippl E. (eds.), Security and Quality in Cyber-Physical Systems Engineering},
	year = {2019},
	publisher = {Springer},
	organization = {Springer},
	edition = {1},
	chapter = {13},
	address = {Cham, Switzerland},
	abstract = {Cyber Physical Systems (CPS) combine computational and physical components enabling real world interaction. Digitization, decentralization and high connectivity as well as incorporation of various enabling technologies raise various security issues. These security concerns may affect safety, endangering as- sets and even human lives. This is especially true for CPS utilization in different sectors of great significance, including manufacturing or critical infrastructures, creating a need for efficiently handling relevant security issues. Including security as part of a software intensive technical system (i.e the CPS) that can be distribut- ed and highly resilient highlights the need for appropriate security methodologies to be applied on the CPS from the engineering stage during CPS design. The effi- cient security related processes that are implemented at design time, have an im- pact on security monitoring during the CPS operational phase (at run time). Effi- cient and accurate security monitoring that follows security-by-design principles can be a potent tool in the hands of the CPS manager for detecting and mitigating cyber threats. Monitoring traffic and activity at the system boundaries, detecting changes to device status and configuration, detecting suspicious activity indicating attacks, detecting unauthorized activity that is suspicious or violates security poli- cies, timely responding to security incidents and recovering from them, are issues that need to be efficiently tackled with by security monitoring. In the present chap- ter, we are exploring the various CPS cybersecurity threats and discus how adding security as a parameter at the CPS design phase can provide a well-structured and efficient approach on providing strong security CPS foundations. New technolo- gies on CPS security Design are presented and emerging security directions are discussed. Furthermore, in the chapter, the different aspects of security monitoring are presented with a special emphasis on CPSs, discussing the various existing monitoring approaches that are followed in order to detect security issues at run time. Specific use-cases of CPSs in the manufacturing domain and with reference to critical infrastructures are also detailed and security requirements like confiden- tiality, integrity and availability are discussed},
	keywords = {Cyber Physical Systems Security, Cybersecurity, Digital Twins, Security by Design, Security Run-time Monitoring},
	issn = {978-3-030-25312-7},
	doi = {10.1007/978-3-030-25312-7_13},
	author = {Fournaris, Apostolos and Andreas Komninos and Lalos, Aris and Athanasios Kalogeras and Koulamas, Christos and Serpanos, Dimitrios}
}
@conference {143,
	title = {Discovering User Location Semantics using Mobile Notification Handling Behaviour},
	booktitle = {15th European Conference on Ambient Intelligence (AmI{\textquoteright}19)},
	year = {2019},
	note = {Best paper nomination},
	month = {11/2019},
	publisher = {Springer},
	organization = {Springer},
	address = {Rome, Italy},
	abstract = {We analyse data from a longitudinal study of 44participants, including notification handling, device state and location information. We demonstrate that it is possible to semantically label a user{\textquoteright}s location based on their notification handling behaviour, even when location coordinates are obfuscated so as not to precisely match known venue lo- cations. Privacy-preserving semantic labelling of a user{\textquoteright}s location can be useful for the contextually-relevant handling of interruptions and service delivery on mobile device},
	keywords = {Interruption management, Mobile notifications, Semantic location labelling},
	doi = {10.1007/978-3-030-34255-5_15},
	author = {Andreas Komninos and Ioulia Simou and Elton Frengkou 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}
}
@conference {131,
	title = {WiseType: A Tablet Keyboard with Color-Coded Visualization and Various Editing Options for Error Correction},
	booktitle = {Graphics Interface - 45th Annual Conference on Computer Graphics, Visualization and Human-Computer Interaction (GI2019)},
	year = {2019},
	note = { Michael A.J. Sweeney award for Best Student Paper},
	month = {05/2019},
	publisher = {Canadian Human-Computer Communications Society},
	organization = {Canadian Human-Computer Communications Society},
	address = {Kingston, Canada},
	abstract = {To address the problem of improving text entry accuracy in mobile devices, we present a new tablet keyboard that offers both immediate and delayed feedback on language quality through auto-correction, prediction, and grammar checking. We combine different visual representations for grammar and spelling errors, accepted predictions, auto-corrections, as well as support interactive swiping/tapping features and improved interaction with previous errors, predictions, and auto-corrections. We also added smart error correction features to the system to decrease the overhead of correcting errors and decrease the number of operations. We designed the new input method with an iterative user-centered approach through multiple pilot studies. To determine the effect of our approach, we conducted a lab-based study used a refined methodology and found that WiseType outperforms a standard keyboard in terms of text entry speed and error rate. The study shows that color-coded text background highlighting and underlining of potential mistakes in combination with fast correction methods can improve writing speed and accuracy.},
	keywords = {auto-correction, backspace, Error Correction, error detection, predictive text, text entry, Touchscreen, virtual keyboard},
	isbn = {978-0-9947868-4-5},
	doi = {10.20380/GI2019.04},
	author = {Alharbi, Ohoud and Arif, Ahmed Sabbir and Stuerzlinger, Wolfgang and Mark D Dunlop and 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 {112,
	title = {URQUELL: Using wrist-based gestural interaction to discover POIs in urban environments},
	booktitle = {WristSense 2018: Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices, Co-located with IEEE PerCom{\textquoteright}18},
	year = {2018},
	month = {03/2018},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Athens, Greece},
	abstract = {In this paper, we discuss the implementation of a prototype application (URQUELL) for the opportunistic discovery of POIs in a urban environment, and the multimodal, non-visual interaction with the system to retrieve details about these. The application works by pointing a smartphone or a wrist- worn sensor kit towards a physical venue location of interest. By retrieving information about the venue pointed at over various APIs, the application presents these to the users via high quality text-to-speech synthesis, negating the need to interact with the smartphone, which can be kept in a user{\textquoteright}s pocket at all times. Here, we discuss the implementation details of our prototype and outline future research directions.},
	keywords = {gestural interaction, location based services, multimodal interaction, wrist sensors},
	doi = {10.1109/PERCOMW.2018.8480136},
	author = {Andreas Komninos and Stylianos Sarakinos and Lydia Marini and John Garofalakis}
}
@article {93,
	title = {Field evaluation of context aware adaptive interfaces for efficient mobile contact retrieval},
	journal = {Pervasive and Mobile Computing},
	volume = {35},
	year = {2017},
	pages = {51-64},
	publisher = {Elsevier},
	abstract = {Our paper discusses the implementation and field evaluation of a context-aware mobile contact retrieval application. We examine the performance of our underlying prediction algorithm in real world conditions and report on the suitability of our hybrid interface design, as a replacement for traditional contact retrieval interfaces (e.g. phonebook and recent call list). We find that users are best served by an alphabetical ordering of prediction matches and show that hybrid interface designs can provide a modest benefit in users{\textquoteright} ability to find a contact, in cases of non-successful predictions. We also discuss users{\textquoteright} alternative strategies for retrieval in such cases.},
	keywords = {Context awareness, Mobile personal information management, Mobile user interfaces},
	issn = {1574-1192},
	doi = {10.1016/j.pmcj.2016.04.011},
	url = {http://www.sciencedirect.com/science/article/pii/S1574119216300347},
	author = {Athanasios Plessas and Vasilios Stefanis and Andreas Komninos and John Garofalakis}
}
@conference {77,
	title = {Assessing Physical Location as a Potential Contextual Cue For Adaptive Mobile Contact Lists},
	booktitle = {14th IEEE International Conference on Ubiquitous Computing and Communications},
	year = {2015},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Liverpool, UK},
	abstract = {The retrieval of the appropriate contact in order to start a new communication session from the contact repository of mobile devices can be a time consuming procedure since mobile contact lists usually contain hundreds of items. Several researchers have focused in the past on predicting the next contact a user is likely to call, a task that could prove useful in designing adaptive context-aware interfaces for the mobile contact list. Most of the researchers propose several contextual dimensions that could be used to predict the next callee, location being one of them. However, none of these research works have ever examined the impact of location on mobile communications and only few have actually incorporated this contextual dimension on their implementations. In this paper, we examine physical location as a contextual cue for adaptive mobile contact lists by analyzing call logs from the Nokia Mobile Data Challenge dataset. Our work indicates that, contrary to previous literature, the consideration of physical location as a context dimension does not necessarily lead to improvements in the accuracy of predicting the likelihood of communication with contacts for all types of users included in the dataset under review. Finally, we also discuss the possible reasons behind this limited impact.},
	keywords = {adaptive contact list, call prediction, Context awareness, physical location},
	doi = {10.1109/CIT/IUCC/DASC/PICOM.2015.195},
	author = {Athanasios Plessas and Olga Georgiadou and Vasilios Stefanis and John Garofalakis and Andreas Komninos}
}
@article {stefanis2013frequency,
	title = {Frequency and recency context for the management and retrieval of personal information on mobile devices},
	journal = {Pervasive and Mobile Computing},
	volume = {15},
	year = {2014},
	pages = {100-112},
	publisher = {Elsevier},
	chapter = {100},
	abstract = {As users store increasingly larger amounts of personal information on their mobiles, the task of retrieving such items (e.g., contacts) becomes more difficult. We show that users can be categorized by their communication patterns and that each category benefits differently from supporting contact management applications. By examining mobile user call logs, we show that it is possible to aid retrieval tasks using relatively simple heuristics and algorithms that describe usage context, using solely the dimensions of contact use frequency and recency. We compare and discuss the results of the proposed method applied on two different mobile datasets: a large dataset from NOKIA and a smaller dataset collected by ourselves.},
	keywords = {call prediction, Context, Mobile personal information management},
	doi = {10.1016/j.pmcj.2013.08.002},
	author = {Vasilios Stefanis and Athanasios Plessas and Andreas Komninos and John Garofalakis}
}
@conference {58,
	title = {A Mobile Shopping Assistant to Support Product Domesticity in Consumer Decisions},
	booktitle = {18th ACM Panhellenic Conference on Informatics},
	year = {2014},
	month = {10/2014},
	publisher = {ACM},
	organization = {ACM},
	address = {Athens, Greece},
	abstract = {In this paper we propose and develop a mobile persuasive application to raise user{\textquoteright}s interest in specific products, by providing information about each product, focusing on the production country and the origin of the company that produces it. During shopping, the user receives information about each product by optically scanning product barcodes with a mobile device. Recommendations for similar products based on product origin are also provided. In an exploratory evaluation, users indicated that the application was found to be easy to use and was rated useful. Moreover, our experimental results show that the proposed system can significantly affect the decision making process of the users.},
	keywords = {Mobile Commerce, Mobile Recommendation Systems, Persuasive Technologies},
	doi = {10.1145/2645791.2645830},
	author = {Sotirios-Foivos Stamopoulos and Andreas Komninos and John Garofalakis}
}
@conference {64,
	title = {Non-verbal Audio and Tactile Mobile Navigation - A comparative evaluation of two novel prototypes},
	booktitle = {The Seventh IEEE International Workshop on Selected Topics in Wireless and Mobile computing (STWiMob 2014)},
	year = {2014},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Larnaca, Cyprus},
	abstract = {As typical turn by turn systems fail in several aspects to provide an engaging experience to pedestrians in urban environments, we investigate the potential of alternative interaction methods for navigation. We present a two-phase experiment, involving both audio and tactile navigation and discuss the collected evaluation data. Our findings show a positive reception of implicit navigation from our users.},
	keywords = {audio navigation, Implicit navigation, tactile navigation, urban environments},
	doi = {10.1109/WiMOB.2014.6962188},
	author = {Andreas Komninos and Ioanna-Maria Astrantzi and Athanasios Plessas and Vasilios Stefanis and John Garofalakis}
}
@conference {Nicol:2014:RCU:2628363.2634261,
	title = {Re-imagining Commonly Used Mobile Interfaces for Older Adults},
	booktitle = {Proceedings of the 16th International Conference on Human-computer Interaction with Mobile Devices \& Services (MobileHCI{\textquoteright}14)},
	series = {MobileHCI {\textquoteright}14},
	year = {2014},
	pages = {585{\textendash}588},
	publisher = {ACM},
	organization = {ACM},
	address = {New York, NY, USA},
	abstract = {Many countries have an increasingly ageing population. In recent years, mobile technologies have had a massive impact on social and working lives. As the size of the older user population rises, many people will want to continue professional, social and lifestyle usage of mobiles into 70s and beyond. Mobile technologies can lead to increased community involvement and personal independence. While mobile technologies can provide many opportunities, the ageing process can interfere with their use. This workshop brings together researchers who are re-imagining common mobile interfaces so that they are more suited to use by older adults.},
	keywords = {inclusive design, mobile interface design, Older Adults},
	isbn = {978-1-4503-3004-6},
	doi = {10.1145/2628363.2634261},
	url = {http://doi.acm.org/10.1145/2628363.2634261},
	author = {Emma Nicol and Mark D Dunlop and Andreas Komninos and McGee-Lennon, Marilyn and Baillie, Lynne and Edwards, Alistair and Eslambolchilar, Parisa and Goodman-Deane, Joy and Hakobyan, Lilit and Lumsden, Jo and Mulder, Ingrid and Rau, Patrick and Siek, Katie}
}
@article {komninos2013cloud,
	title = {Capturing Urban Dynamics with Scarce Check-In Data},
	journal = {Pervasive Computing},
	volume = {12},
	year = {2013},
	pages = {20-28},
	publisher = {IEEE},
	abstract = {An analysis of three months{\textquoteright} worth of Foursquare check-in data for a city in Greece shows that although the data generated by the citizens is scarce, it{\textquoteright}s sufficient to build a good model of the city{\textquoteright}s dynamics.},
	keywords = {Context awareness, social networks, urban social context},
	doi = {10.1109/MPRV.2013.42},
	author = {Andreas Komninos and Vasilios Stefanis and Athanasios Plessas and Jeries Besharat}
}
@conference {stefanis2013interface,
	title = {An interface for context-aware retrieval of mobile contacts},
	booktitle = {Proceedings of the 15th international conference on Human-computer interaction with mobile devices and services},
	year = {2013},
	pages = {492{\textendash}497},
	publisher = {ACM},
	organization = {ACM},
	address = {Munich, Germany},
	abstract = {Our work discusses a mobile contact retrieval interface which attempts to contextually predict the contacts a user is likely to need access to, in order to facilitate the retrieval process. We compare our prototype implementation with retrieval from traditional applications (contact list and call log) in a preliminary lab experiment and discuss our findings from user behaviour. We conclude with suggestions on how to improve this interface in order to further enhance the retrieval process.
},
	keywords = {Context-Awareness, Mobile contact lists, Mobile information retrieval},
	doi = {10.1145/2493190.2494432},
	author = {Vasilios Stefanis and Andreas Komninos and Athanasios Plessas and John Garofalakis}
}
@article {56,
	title = {Using Communication Frequency and Recency Context to Facilitate Mobile Contact List Retrieval},
	journal = {International Journal of Handheld Computing Research (IJHCR)},
	volume = {4},
	year = {2013},
	pages = {52-71},
	publisher = {IGI Global},
	abstract = {As mobile contact lists get bigger and bigger the cognitive load on the user increases while trying to retrieve the next contact to start a communication session. In this paper we focus on the task of retrieving a contact when the purpose is to start a phone call, examining mobile users{\textquoteright} call logs and showing that it is possible to accurately predict the next contact to be called using relatively simple heuristics and algorithms that describe usage context. The authors present and discuss the results of the proposed method applied on a dataset collected from an experiment the authors organised involving 25 mobile users.
},
	keywords = {call log analysis, call prediction, mobile contact list, mobile contact retrieval, Mobile context},
	doi = {10.4018/ijhcr.2013100104},
	author = {Athanasios Plessas and Vasilios Stefanis and Andreas Komninos and John Garofalakis}
}
@conference {stefanis2012efficient,
	title = {Efficient Support of Context-Driven Interfaces for Mobile Devices},
	booktitle = {16th Panhellenic Conference on Informatics (PCI {\textquoteright}12)},
	year = {2012},
	pages = {363{\textendash}368},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Piraeus, Greece},
	keywords = {Context awareness, Dimensionality reduction},
	doi = {10.1109/PCi.2012.26},
	author = {Vasilios Stefanis and Athanasios Plessas and Andreas Komninos and John Garofalakis}
}
@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 {komninos2012urban,
	title = {Urban exploration using audio scents},
	booktitle = {Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services},
	year = {2012},
	pages = {349{\textendash}358},
	publisher = {ACM},
	organization = {ACM},
	address = {San Francisco, USA},
	keywords = {Audio mixed reality, Implicit navigation, urban environments},
	doi = {10.1145/2371574.2371629},
	author = {Andreas Komninos and Barrie, Peter and Vasilios Stefanis and Athanasios Plessas}
}
@conference {komninos2011application,
	title = {Application of dimensionality reduction techniques for mobile social context},
	booktitle = {Proceedings of the 13th international conference on Ubiquitous computing},
	year = {2011},
	pages = {583{\textendash}584},
	publisher = {ACM},
	organization = {ACM},
	address = {Beijing, China},
	keywords = {Context awareness, Dimensionality reduction, Mobile Personal Information Access},
	doi = {10.1145/2030112.2030224},
	author = {Andreas Komninos and Athanasios Plessas and Vasilios Stefanis and John Garofalakis}
}
@conference {komninos2011context,
	title = {Context Dimensionality Reduction for Mobile Personal Information Access.},
	booktitle = { International Conference on Knowledge Discovery and Information Retrieval (KDIR {\textquoteright}11)},
	year = {2011},
	pages = {493{\textendash}498},
	publisher = {IC3K},
	organization = {IC3K},
	address = {Paris, France},
	keywords = {Context awareness, Dimensionality reduction, Mobile Personal Information Access},
	author = {Andreas Komninos and Athanasios Plessas and Vasilios Stefanis and John Garofalakis}
}
@inbook {smit2011mirrored,
	title = {Mirrored Motion: Augmenting Reality and Implementing Whole Body Gestural Control Using Pervasive Body Motion Capture Based on Wireless Sensors},
	booktitle = {Whole Body Interaction},
	year = {2011},
	pages = {35{\textendash}50},
	publisher = {Springer},
	organization = {Springer},
	address = {London, UK},
	keywords = {Augmented Reality, sensor networks, whole body interaction},
	doi = {10.1007/978-0-85729-433-3_4},
	author = {Smit, Philip and Barrie, Peter and Andreas Komninos and Mandrychenko, Oleksii}
}
@article {oulasvirta2011works,
	title = {Works in Progress: Dimensionality Reduction in Context Aware Systems},
	journal = {Pervasive Computing},
	volume = {10},
	number = {3},
	year = {2011},
	pages = {52},
	publisher = {IEEE},
	keywords = {Context awareness, Dimensionality reduction},
	doi = {10.1109/MPRV.2011.57},
	author = {Oulasvirta, Antti and Hasu, Tero and Mu{\~n}oz-Organero, Mario and Athanasios Plessas and Vasilios Stefanis and John Garofalakis and Andreas Komninos}
}
@article {mulder2009designing,
	title = {Designing with care: The future of pervasive healthcare},
	journal = {Pervasive Computing},
	volume = {8},
	number = {4},
	year = {2009},
	pages = {85{\textendash}88},
	publisher = {IEEE},
	keywords = {pervasive healthcare},
	doi = {10.1109/MPRV.2009.71},
	author = {Mulder, Ingrid and Schikhof, Yvonne and Vastenburg, Martijn and Card, Alan and Dunn, Tory and Andreas Komninos and McGee-Lennon, Marilyn and Santcroos, Mark and Tiotto, Gabriele and van Gils, Mieke and others}
}
@conference {liarokapis2009diba,
	title = {DibA: An adaptive broadcasting scheme in mobile ad hoc networks},
	booktitle = {7th Annual Conference on Communication Networks and Services Research (CNSR{\textquoteright}09).},
	year = {2009},
	pages = {224{\textendash}231},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Moncton, Canada},
	keywords = {Broadcasting, Mobile Ad Hoc Networks},
	doi = {10.1109/CNSR.2009.42},
	author = {Liarokapis, Dimitrios and Shahrabi, Alireza and Andreas Komninos}
}
@conference {smit2009mirrored,
	title = {Mirrored Motion: Pervasive Body Motion Capture using Wireless Sensors},
	booktitle = {Whole Body Interaction Workshop, ACM CHI {\textquoteright}09},
	year = {2009},
	publisher = {ACM},
	organization = {ACM},
	address = {Boston, USA},
	keywords = {Augmented Reality, Body Area Networks, Context Aware computing, Mobile Computing, Orientation, User Interaction, Wireless sensor networks},
	author = {Smit, Philip and Barrie, Peter and Andreas Komninos}
}
@conference {komninos2006healthpal,
	title = {HealthPal: an intelligent personal medical assistant for supporting the self-monitoring of healthcare in the ageing society},
	booktitle = {4th International Workshop on Ubiquitous Computing for Pervasive Healthcare Applications, UbiComp 2006},
	year = {2006},
	publisher = {Springer},
	organization = {Springer},
	address = {Orange County, USA},
	keywords = {dialogue system, health monitoring application, Mobile Computing, pervasive health, wireless technology},
	author = {Andreas Komninos and Stamou, Sofia}
}
