caa a22 4500 445822082 CHVBK 20180317145247.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s00779-011-0401-5 doi (NATIONALLICENCE)springer-10.1007/s00779-011-0401-5 Adapting the mobile phone for task efficiency: the case of predicting outgoing calls using frequency and regularity of historical calls [Elektronische Daten] [Osama Barzaiq, Seng Loke] The set of functionalities provided by advanced mobile phones is significantly increasing. However, the small size of mobile phone user interfaces makes it difficult for the user to deal with this large number of functionalities, which could reflect negatively on user performance and the efficiency of mobile phone functionalities. In this paper, we designed and developed an adaptive task-based functionality called ATF on mobile phones, where the task we focused on was to predict the next contact that the user is most likely to call. Furthermore, we conducted comprehensive evaluation of our approach. We show that our approach can successfully predict contacts that a user will most likely call next. Our results uncover the frequency and pattern of regularity in making mobile phone calls and suggest promising avenues for future work for optimising tasks (beyond phone calls) performed with the mobile phone. Springer-Verlag London Limited, 2011 Adaptive user interface nationallicence Mobile phone nationallicence Phone usage nationallicence Call prediction function nationallicence Barzaiq Osama Department of Computer Science and Computer Engineering, La Trobe University, 3086, Bundoora, VIC, Australia aut Loke Seng Department of Computer Science and Computer Engineering, La Trobe University, 3086, Bundoora, VIC, Australia aut Personal and Ubiquitous Computing Springer-Verlag 15/8(2011-12-01), 857-870 1617-4909 15:8<857 2011 15 779 https://doi.org/10.1007/s00779-011-0401-5 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00779-011-0401-5 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Barzaiq Osama Department of Computer Science and Computer Engineering, La Trobe University, 3086, Bundoora, VIC, Australia aut NATIONALLICENCE 700 1- Loke Seng Department of Computer Science and Computer Engineering, La Trobe University, 3086, Bundoora, VIC, Australia aut NATIONALLICENCE 773 0- Personal and Ubiquitous Computing Springer-Verlag 15/8(2011-12-01), 857-870 1617-4909 15:8<857 2011 15 779 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer