@article{ijcsa1,
title = {Characterizing Application Attentiveness to its Users: A Method and Possible Use Cases},
author = {Milan Z. Bjelica and Nikola Teslić},
url = {http://dblp.uni-trier.de/rec/html/journals/ijcsa/BjelicaT10},
issn = {0972-9038},
year = {2010},
date = {2010-01-01},
journal = {International Journal on Computer Science and Applications},
volume = {7},
number = {3},
pages = {60-83},
abstract = {Mitigating risks of rejection by end users should be the ultimate goal for any computer-based system or application. Latest researches have shown that with the growth of wearable and mobile computer based products, the obtrusiveness of user applications has become significant. User time and his attention should be regarded as resources, as important as processing power or consumed energy. In this paper, we propose a novel method to characterize undesired interference between application usage and habitual activities of users, to what we refer as attentive interference. We argue that this interference is inversely proportional with application usability. We also present a set of heuristics that can be followed in order to increase application attentiveness, a case study for a commercial product and an overview of an ongoing implementation of presented characterizations to increase efficiency of context-aware systems.},
howpublished = {M24},
keywords = {computer science, user monitoring},
pubstate = {published},
tppubtype = {article}
}
Mitigating risks of rejection by end users should be the ultimate goal for any computer-based system or application. Latest researches have shown that with the growth of wearable and mobile computer based products, the obtrusiveness of user applications has become significant. User time and his attention should be regarded as resources, as important as processing power or consumed energy. In this paper, we propose a novel method to characterize undesired interference between application usage and habitual activities of users, to what we refer as attentive interference. We argue that this interference is inversely proportional with application usability. We also present a set of heuristics that can be followed in order to increase application attentiveness, a case study for a commercial product and an overview of an ongoing implementation of presented characterizations to increase efficiency of context-aware systems.