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}
}
alternative strategies for retrieval in such cases.
2014
Stefanis, Vassilios; Plessas, Athanasios; Komninos, Andreas; Garofalakis, John
Frequency and recency context for the management and retrieval of personal information on mobile devices Journal Article
In: Pervasive and Mobile Computing, vol. 15, pp. 100 - 112, 2014, ISSN: 1574-1192, (Special Issue on Information Management in Mobile ApplicationsSpecial Issue on Data Mining in Pervasive Environments).
Abstract | Links | BibTeX | Ετικέτες: call prediction, Context, mobile personal information management
@article{Stefanis2014100,
title = {Frequency and recency context for the management and retrieval of personal information on mobile devices},
author = {Vassilios Stefanis and Athanasios Plessas and Andreas Komninos and John Garofalakis},
url = {http://www.sciencedirect.com/science/article/pii/S1574119213001119},
doi = {10.1016/j.pmcj.2013.08.002},
issn = {1574-1192},
year = {2014},
date = {2014-12-01},
journal = {Pervasive and Mobile Computing},
volume = {15},
pages = {100 - 112},
abstract = {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.},
note = {Special Issue on Information Management in Mobile ApplicationsSpecial Issue on Data Mining in Pervasive Environments},
keywords = {call prediction, Context, mobile personal information management},
pubstate = {published},
tppubtype = {article}
}