2016
Plessas, Athanasios; Stefanis, Vassilios; Komninos, Andreas; Garofalakis, John
Field Evaluation of Context Aware Adaptive Interfaces for Efficient Contact Retrieval Journal Article
In: Pervasive and Mobile Computing, vol. 35, pp. 51-64, 2016, ISSN: 1574-1192.
Abstract | Links | BibTeX | Ετικέτες: context awareness, mobile personal information management, mobile user interfaces
@article{Plessas2016,
title = {Field Evaluation of Context Aware Adaptive Interfaces for Efficient Contact Retrieval},
author = {Athanasios Plessas and Vassilios Stefanis and Andreas Komninos and John Garofalakis},
url = {http://www.sciencedirect.com/science/article/pii/S1574119216300347},
doi = {10.1016/j.pmcj.2016.04.011},
issn = {1574-1192},
year = {2016},
date = {2016-05-06},
journal = {Pervasive and Mobile Computing},
volume = {35},
pages = {51-64},
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’ ability to find a contact, in cases of non-successful predictions. We also discuss users’
alternative strategies for retrieval in such cases.},
keywords = {context awareness, mobile personal information management, mobile user interfaces},
pubstate = {published},
tppubtype = {article}
}
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’ ability to find a contact, in cases of non-successful predictions. We also discuss users’
alternative strategies for retrieval in such cases.
alternative strategies for retrieval in such cases.
2015
Plessas, Athanasios; Georgiadou, Olga; Stefanis, Vassilios; Komninos, Andreas; Garofalakis, John
Assessing Physical Location as a Potential Contextual Cue For Adaptive Mobile Contact Lists Proceedings Article
In: Ubiquitous Computing and Communications (IUCC), 2015 IEEE International Conference on, pp. 1316-1324, IEEE, 2015, ISBN: 978-1-5090-0153-8.
Abstract | Links | BibTeX | Ετικέτες: adaptive contact list, call prediction, context awareness, physical location
@inproceedings{Plessas2015,
title = {Assessing Physical Location as a Potential Contextual Cue For Adaptive Mobile Contact Lists},
author = {Athanasios Plessas and Olga Georgiadou and Vassilios Stefanis and Andreas Komninos and John Garofalakis},
url = {http://dx.doi.org/10.1109/CIT/IUCC/DASC/PICOM.2015.195},
doi = {10.1109/CIT/IUCC/DASC/PICOM.2015.195},
isbn = {978-1-5090-0153-8},
year = {2015},
date = {2015-10-01},
booktitle = {Ubiquitous Computing and Communications (IUCC), 2015 IEEE International Conference on},
pages = {1316-1324},
publisher = {IEEE},
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},
pubstate = {published},
tppubtype = {inproceedings}
}
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.
2012
Stefanis, Vassilios; Plessas, Athanasios; Komninos, Andreas; Garofalakis, John
Efficient Support of Context-Driven Interfaces for Mobile Devices Proceedings Article
In: Informatics (PCI), 2012 16th Panhellenic Conference on, pp. 363-368, IEEE, 2012, ISBN: 978-1-4673-2720-6.
Abstract | Links | BibTeX | Ετικέτες: context awareness, dimensionality reduction, FastMap performance
@inproceedings{6377419,
title = {Efficient Support of Context-Driven Interfaces for Mobile Devices},
author = {Vassilios Stefanis and Athanasios Plessas and Andreas Komninos and John Garofalakis},
url = {http://dx.doi.org/10.1109/PCi.2012.26},
doi = {10.1109/PCi.2012.26},
isbn = {978-1-4673-2720-6},
year = {2012},
date = {2012-10-01},
booktitle = {Informatics (PCI), 2012 16th Panhellenic Conference on},
pages = {363-368},
publisher = {IEEE},
abstract = {We examine the performance of the Fast Map algorithm when applied on mobile devices for context dimensionality reduction. Our results show that this algorithm is extremely fast and is appropriate for mobile context datasets that need to be processed in real time. This fact supports our vision for context-driven interfaces generated by applying the method of mobile context dimensionality reduction that will support the richness of data stored in personal devices.},
keywords = {context awareness, dimensionality reduction, FastMap performance},
pubstate = {published},
tppubtype = {inproceedings}
}
We examine the performance of the Fast Map algorithm when applied on mobile devices for context dimensionality reduction. Our results show that this algorithm is extremely fast and is appropriate for mobile context datasets that need to be processed in real time. This fact supports our vision for context-driven interfaces generated by applying the method of mobile context dimensionality reduction that will support the richness of data stored in personal devices.
Stefanis, Vassilios; Plessas, Athanasios; Komninos, Andreas; Garofalakis, John
Patterns of Usage and Context in Interaction with Communication Support Applications in Mobile Devices Proceedings Article
In: Proceedings of the 14th International Conference on Human-computer Interaction with Mobile Devices and Services, pp. 25–34, ACM, San Francisco, California, USA, 2012, ISBN: 978-1-4503-1105-2.
Abstract | Links | BibTeX | Ετικέτες: contact lists, context awareness, mobile pim
@inproceedings{Stefanis:2012:PUC:2371574.2371579,
title = {Patterns of Usage and Context in Interaction with Communication Support Applications in Mobile Devices},
author = { Vassilios Stefanis and Athanasios Plessas and Andreas Komninos and John Garofalakis},
url = {http://doi.acm.org/10.1145/2371574.2371579},
doi = {10.1145/2371574.2371579},
isbn = {978-1-4503-1105-2},
year = {2012},
date = {2012-09-01},
booktitle = {Proceedings of the 14th International Conference on Human-computer Interaction with Mobile Devices and Services},
pages = {25--34},
publisher = {ACM},
address = {San Francisco, California, USA},
series = {MobileHCI '12},
abstract = {Contact lists are one of the most frequently used applications on mobile devices. Users are reluctant to delete or remove contacts from their repositories and as modern smartphones provide an unlimited contact list storage space, these become increasingly large, sometimes measuring several hundred entries. In this paper we present our findings from two experiments with user-subjective and quantitative data concerning the use of mobile contact lists. We examine the role that frequency and recency of usage plays in the determination of a contact's importance, with a view to aid the speed and efficacy of the information seeking and retrieval process during the use of the contact list application.},
keywords = {contact lists, context awareness, mobile pim},
pubstate = {published},
tppubtype = {inproceedings}
}
Contact lists are one of the most frequently used applications on mobile devices. Users are reluctant to delete or remove contacts from their repositories and as modern smartphones provide an unlimited contact list storage space, these become increasingly large, sometimes measuring several hundred entries. In this paper we present our findings from two experiments with user-subjective and quantitative data concerning the use of mobile contact lists. We examine the role that frequency and recency of usage plays in the determination of a contact's importance, with a view to aid the speed and efficacy of the information seeking and retrieval process during the use of the contact list application.
2011
Komninos, Andreas; Plessas, Athanasios; Stefanis, Vassilios; Garofalakis, John
Context Dimensionality Reduction for Mobile Personal Information Access Proceedings Article
In: Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011), pp. 485-490, 2011, ISBN: 978-989-8425-79-9.
Abstract | Links | BibTeX | Ετικέτες: context awareness, dimensionality reduction, mobile personal information access
@inproceedings{kdir11,
title = {Context Dimensionality Reduction for Mobile Personal Information Access},
author = {Andreas Komninos and Athanasios Plessas and Vassilios Stefanis and John Garofalakis},
url = {http://dx.doi.org/10.5220/0003688504930498},
doi = {10.5220/0003688504930498},
isbn = {978-989-8425-79-9},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2011)},
pages = {485-490},
abstract = {We propose an application of the Fastmap algorithm that could provide a breakthrough in the efforts to present mobile personal information to the user in context, and describe our vision for context-driven interfaces generated by this method that will support the richness of data stored in personal devices.},
keywords = {context awareness, dimensionality reduction, mobile personal information access},
pubstate = {published},
tppubtype = {inproceedings}
}
We propose an application of the Fastmap algorithm that could provide a breakthrough in the efforts to present mobile personal information to the user in context, and describe our vision for context-driven interfaces generated by this method that will support the richness of data stored in personal devices.
Komninos, Andreas; Plessas, Athanasios; Stefanis, Vassilios; Garofalakis, John
Application of Dimensionality Reduction Techniques for Mobile Social Context Proceedings Article
In: Proceedings of the 13th International Conference on Ubiquitous Computing, pp. 583–584, ACM, Beijing, China, 2011, ISBN: 978-1-4503-0630-0.
Abstract | Links | BibTeX | Ετικέτες: context awareness, dimensionality reduction, mobile personal information access
@inproceedings{Komninos:2011:ADR:2030112.2030224,
title = {Application of Dimensionality Reduction Techniques for Mobile Social Context},
author = { Andreas Komninos and Athanasios Plessas and Vassilios Stefanis and John Garofalakis},
url = {http://doi.acm.org/10.1145/2030112.2030224},
doi = {10.1145/2030112.2030224},
isbn = {978-1-4503-0630-0},
year = {2011},
date = {2011-01-01},
booktitle = {Proceedings of the 13th International Conference on Ubiquitous Computing},
pages = {583--584},
publisher = {ACM},
address = {Beijing, China},
series = {UbiComp '11},
abstract = {We propose the application of a dimensionality reduction algorithm that could provide a breakthrough in the efforts to retrieve and present mobile personal information to the user in context.},
keywords = {context awareness, dimensionality reduction, mobile personal information access},
pubstate = {published},
tppubtype = {inproceedings}
}
We propose the application of a dimensionality reduction algorithm that could provide a breakthrough in the efforts to retrieve and present mobile personal information to the user in context.