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Tuğba Taşkaya Temizel

Graduate School of Informatics
Scopus Author ID
A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System
ÇAVDAR, ŞEYMA; Taşkaya Temizel, Tuğba; Musolesi, Mirco; Tino, Peter (2020-03-01)
In this study, we investigate the effects of social context, personal and mobile phone usage on the inference of work engagement/challenge levels of knowledge workers and their responsiveness to well-being related notifica...
New Techniques in Profiling Big Datasets for Machine Learning with a Concise Review of Android Mobile Malware Datasets
CANBEK, Gurol; SAĞIROĞLU, ŞEREF; Taşkaya Temizel, Tuğba (2018-12-04)
As the volume, variety, velocity aspects of big data are increasing, the other aspects such as veracity, value, variability, and venue could not be interpreted easily by data owners or researchers. The aspects are also unc...
The Impact of Motivation and Personality on Academic Performance in Online and Blended Learning Environments
Alkış, Nurcan; Taşkaya Temizel, Tuğba (2018-07-01)
This study investigates the impact of students' motivation and personality traits on their academic performance in online and blended learning environments. It was conducted with students attending a mandatory introductory...
A Non-Parametric Algorithm for Discovering Triggering Patterns of Spatio-Temporal Event Types
Batu, Berna Bakir; Taşkaya Temizel, Tuğba; Duzgun, H. Sebnem (2017-12-01)
Temporal or spatio-temporal sequential pattern discovery is a well-recognized important problem in many domains like seismology, criminology, and finance. The majority of the current approaches are based on candidate gener...
What installed mobile applications tell about their owners and how they affect users' download behavior
ÜNAL, Perin; Taşkaya Temizel, Tuğba; Eren, Pekin Erhan (2017-11-01)
The rapid growth in the mobile application market presents a significant challenge to find interesting and relevant applications for users. An experimental study was conducted through the use of a specifically designed mob...
Binary Classification Performance Measures/Metrics: A Comprehensive Visualized Roadmap to Gain New Insights
Canbek, Gurol; SAĞIROĞLU, Şeref; Taşkaya Temizel, Tuğba; Baykal, Nazife (2017-10-08)
Binary classification is one of the most frequent studies in applied machine learning problems in various domains, from medicine to biology to meteorology to malware analysis. Many researchers use some performance metrics ...
Exploring behavior change features for mobile workout applications
ÜNAL, Perin; Cavdar, Seyma Kucukozer; Taşkaya Temizel, Tuğba; Eren, Pekin Erhan; IYENGAR, Sriram (2017-08-23)
With the rapid emergence of mobile technologies in recent years, mobile health (m-health) has become fundamental to healthcare. Persuasion strategies and behavior change support features are widely used in m-health applica...
The Impacts of Persuasive Messages on Students Motivation and Learning Management System Use
ALKIŞ, NURCAN; Taşkaya Temizel, Tuğba (2016-11-16)
Persuasive messaging is used to change individuals' behaviours in a specific way, which are effective mechanisms in decision making and are mainly created based on persuasion strategies. Persuasive messaging has been appli...
Impact of individual differences on the use of mobile phones and applications
ÜNAL, Perin; Temizel, Tuğba Taşkaya; Taşkaya Temizel, Tuğba (2016-08-24)
Many studies examining the relation between mobile phone use and the personality traits of individual users have concluded that a significant relationship exists with extraversion standing out as a common trait in this con...
Analyzing the effects of the personality traits on the success of online collaborative groups
Kucukozer-Cavdar, Seyma; Taşkaya Temizel, Tuğba (Elsevier BV; 2016-06-23)
The purpose of this study is to analyze how efficient online study groups can be formed among students based on their personality traits. A survey consisting of Ten Item Personality Inventory (TIPI) was conducted among the...