A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System

Taşkaya Temizel, Tuğba
Musolesi, Mirco
Tino, Peter
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 notifications. Our results show that mobile application usage is associated to the responsiveness and work engagement/challenge levels of knowledge workers. We also developed multi-level (within- and between-subjects) models for the inference of attentional states and engagement/challenge levels with mobile application usage indicators as inputs, such as the number of applications used prior to notifications, the number of switches between applications, and application category usage. The results of our analysis show that the following features are effective for the inference of attentional states and engagement/challenge levels: the number of switches between mobile applications in the last 45 minutes and the duration of application usage in the last 5 minutes before users' response to ESM messages.


A Mobile sensing framework for audience emotion analysis
Kepucka, Eldjon; Temizel, Alptekin; Department of Information Systems (2014)
The main objective of this thesis is to develop a multi-modal framework which facilitates simple data collection using mobile sensing on smartphones from an audience, for the duration of an experimental study. Current solutions primarily rely on custom mobile sensing platforms which are expensive to develop and complicated to apply. While there are a number of mobile sensing platforms developed for smartphones targeting different domains, such as transportation and air pollution they are not designed to be ...
A sampling methodology for usability testing of consumer products considering individual differences
Berkman, Ali Emre; Erbuğ, Çiğdem; Department of Industrial Design (2010)
Aim of the study was to discuss and identify individual differences that influence the user performance during usability tests of consumer products that are known to prevent researchers to conduct systematic studies. The rationale behind the study was developing a tool for sampling in order to handle experiential factors as a variable rather than a source of error. The study made it possible to define and elaborate on constructs general interaction expertise (GIE) and general interaction self efficacy (GISE...
A Context aware emergency management system using mobile computing
Ceran, Onur; Eren, Pekin Erhan; Department of Information Systems (2013)
In this thesis, an emergency management system taking advantage of mobile computing and its awareness on context is provided. The framework primarily aims to create an infrastructure for acquiring implicit and explicit data about an emergency situation by using capabilities of smart mobile devices and converting them into value-added information to be used in phases of emergency management. In addition to conceptual description of the framework, a real prototype implementation is developed and successful ap...
Examining place attachment from a foursquare perspective
Öz, Bilgehan Kürşad; Taşkaya Temizel, Tuğba; Department of Information Systems (2014)
The aim of the study is to understand the relationship between self-reported place attachment and attachment measured by means of mobile applications that provide location-based services. To meet this end, a survey is conducted to measure place attachment and participants are asked about the places they prefer under certain categories, their attachments to these places, and properties of these places. In the second part of the study, participants’ Foursquare log data is collected which includes their checki...
An Optimal application partitioning and computational offloading framework for mobile cloud computing
Kaya, Mahir; Koçyiğit, Altan; Department of Information Systems (2016)
The use of mobile applications is increasing every day and they offer more functionality on mobile devices. However, these devices are inferior to server computers in terms of memory and processor capacity. Furthermore, rapid depletion of mobile devices’ energy resources is still a major problem. Performance and energy shortcomings of mobile devices can be improved by using surrogate or cloud computing technologies. In this thesis, an offloading framework is proposed to improve the performance and efficienc...
Citation Formats
Ş. ÇAVDAR, T. Taşkaya Temizel, M. Musolesi, and P. Tino, “A Multi-perspective Analysis of Social Context and Personal Factors in Office Settings for the Design of an Effective Mobile Notification System,” 2020, vol. 4, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/31580.