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.