Damla Çay | Koç University (original) (raw)
Papers by Damla Çay
arXiv (Cornell University), Sep 3, 2020
During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for ... more During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are socially distancing themselves, it becomes an urgent need to refine existing user experience evaluation methods for remote settings to understand how people make sense out of COVID-19 related visualizations. When evaluating visualizations aimed towards the general public with vastly different socio-demographic backgrounds and varying levels of technical savviness and data literacy, it is important to understand user feedback beyond aspects such as speed, task accuracy, or usability problems. As a part of this wider evaluation perspective, micro-phenomenology has been used to evaluate static and narrative visualizations to reveal the lived experience in a detailed way. Building upon these studies, we conducted a user study to understand how to employ Elicitation (aka Micro-phenomenological) interviews in remote settings. In a case study, we investigated what experiences the participants had with map-based interactive visualizations. Our findings reveal positive and negative aspects of conducting Elicitation interviews remotely. Our results can inform the process of planning and executing remote Elicitation interviews to evaluate interactive visualizations. In addition, we share recommendations regarding visualization techniques and interaction design about public health data.
arXiv (Cornell University), Sep 14, 2020
Understanding different types of users needs can even be more critical in todays data visualizati... more Understanding different types of users needs can even be more critical in todays data visualization field, as exploratory visualizations for novice users are becoming more widespread with an increasing amount of data sources. The complexity of data-driven projects requires input from including interdisciplinary expert and novice users. Our workshop framework helps taking design decisions collaboratively with experts and novice users, on different levels such as outlining users and goals, identifying tasks, structuring data, and creating data visualization ideas. We conducted workshops for two different data visualization projects. For each project, we conducted a workshop with project stakeholders who are domain experts, then a second workshop with novice users. We collected feedback from participants and used critical reflection on the process. Later on, we created recommendations on how this workshop structure can be used by others. Our main contributions are, (1) the workshop framework for designing data visualizations, (2) describing the outcomes and lessons learned from multiple workshops.
Proceedings of the Participatory Design Conference 2022 - Volume 2
Resources, Conservation and Recycling
2020 24th International Conference Information Visualisation (IV), 2020
Understanding different types of users’ needs can even be more critical in today’s data visualiza... more Understanding different types of users’ needs can even be more critical in today’s data visualization field, as exploratory visualizations for novice users are becoming more widespread with an increasing amount of data sources. The complexity of data-driven projects requires input from including interdisciplinary expert and novice users. Our work- shop framework helps taking design decisions collaboratively with experts and novice users, on different levels such as outlining users and goals, identifying tasks, structuring data, and creating data visualization ideas. We conducted workshops for two different data visualization projects. For each project, we conducted a workshop with project stakeholders who are domain experts, then a second workshop with novice users. We collected feedback from participants and used critical reflection on the process. Later on, we created recommendations on how this workshop structure can be used by others. Our main contributions are, (1) the workshop...
Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017
We present ViewFinder, a cross-platform mobile application to support the installation and reconf... more We present ViewFinder, a cross-platform mobile application to support the installation and reconfiguration of marker-based motion capture systems with multiple cameras. ViewFinder addresses a common issue when installing or reconfiguring motion capture systems: that system components such as cameras and the host computer can be physically separate and/or difficult to reach, requiring personnel to maneuver between them frequently and laboriously. ViewFinder allows setup technicians or end-users to visualize the output of each camera in the system in a variety of ways in real time, on a smartphone or tablet, while also providing a means to make adjustments to system parameters such as exposure or marker thresholds on the fly. The app has been designed and evaluated through a process observing user-centered design principles, and effectively reduces the amount of work involved in installing and reconfiguring motion capture systems.
This chapter provides an overview of the data analysis and visualization steered under “An Urban ... more This chapter provides an overview of the data analysis and visualization steered under “An Urban Deep Map for Integration in Turkey” (UDMIT) project, which uses mobile call data records of Syrian refugees under temporary protection provided by Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey (Salah et al. Data for refugees: the D4R challenge on mobility of Syrian refugees in Turkey (2018) [25]). First, to examine Syrian refugees’ temporal and spatial dimensions of mobility, the chapter concentrates on their interprovincial migration patterns within Turkey. Based on an analysis of these patterns, the study offers insights on the potential motivations for regular and seasonal interprovincial mobility, especially regarding access to services and employment opportunities in the formal and informal labor market. The findings are also complemented by policy recommendations on how the D4R data can be of use to central and local authorities on providing occupati...
2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV)
During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for ... more During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are socially distancing themselves, it becomes an urgent need to refine existing user experience evaluation methods for remote settings to understand how people make sense out of COVID-19 related visualizations. When evaluating visualizations aimed towards the general public with vastly different socio-demographic backgrounds and varying levels of technical savviness and data literacy, it is important to understand user feedback beyond aspects such as speed, task accuracy, or usability problems. As a part of this wider evaluation perspective, micro-phenomenology has been used to evaluate static and narrative visualizations to reveal the lived experience in a detailed way. Building upon these studies, we conducted a user study to understand how to employ Elicitation (aka Micro-phenomenological) interviews in remote settings. In a case study, we investigated what experiences the participants had with map-based interactive visualizations. Our findings reveal positive and negative aspects of conducting Elicitation interviews remotely. Our results can inform the process of planning and executing remote Elicitation interviews to evaluate interactive visualizations. In addition, we share recommendations regarding visualization techniques and interaction design about public health data.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Journal of Location Based Services
Lecture Notes in Computer Science, 2016
Lecture Notes in Computer Science, 2015
During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for ... more During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are socially distancing themselves, it becomes an urgent need to refine existing user experience evaluation methods for remote settings to understand how people make sense out of COVID-19 related visualizations. When evaluating visualizations aimed towards the general public with vastly different socio-demographic backgrounds and varying levels of technical savviness and data literacy, it is important to understand user feedback beyond aspects such as speed, task accuracy, or usability problems. As a part of this wider evaluation perspective, micro-phenomenology has been used to evaluate static and narrative visualizations to reveal the lived experience in a detailed way. Bu...
arXiv (Cornell University), Sep 3, 2020
During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for ... more During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are socially distancing themselves, it becomes an urgent need to refine existing user experience evaluation methods for remote settings to understand how people make sense out of COVID-19 related visualizations. When evaluating visualizations aimed towards the general public with vastly different socio-demographic backgrounds and varying levels of technical savviness and data literacy, it is important to understand user feedback beyond aspects such as speed, task accuracy, or usability problems. As a part of this wider evaluation perspective, micro-phenomenology has been used to evaluate static and narrative visualizations to reveal the lived experience in a detailed way. Building upon these studies, we conducted a user study to understand how to employ Elicitation (aka Micro-phenomenological) interviews in remote settings. In a case study, we investigated what experiences the participants had with map-based interactive visualizations. Our findings reveal positive and negative aspects of conducting Elicitation interviews remotely. Our results can inform the process of planning and executing remote Elicitation interviews to evaluate interactive visualizations. In addition, we share recommendations regarding visualization techniques and interaction design about public health data.
arXiv (Cornell University), Sep 14, 2020
Understanding different types of users needs can even be more critical in todays data visualizati... more Understanding different types of users needs can even be more critical in todays data visualization field, as exploratory visualizations for novice users are becoming more widespread with an increasing amount of data sources. The complexity of data-driven projects requires input from including interdisciplinary expert and novice users. Our workshop framework helps taking design decisions collaboratively with experts and novice users, on different levels such as outlining users and goals, identifying tasks, structuring data, and creating data visualization ideas. We conducted workshops for two different data visualization projects. For each project, we conducted a workshop with project stakeholders who are domain experts, then a second workshop with novice users. We collected feedback from participants and used critical reflection on the process. Later on, we created recommendations on how this workshop structure can be used by others. Our main contributions are, (1) the workshop framework for designing data visualizations, (2) describing the outcomes and lessons learned from multiple workshops.
Proceedings of the Participatory Design Conference 2022 - Volume 2
Resources, Conservation and Recycling
2020 24th International Conference Information Visualisation (IV), 2020
Understanding different types of users’ needs can even be more critical in today’s data visualiza... more Understanding different types of users’ needs can even be more critical in today’s data visualization field, as exploratory visualizations for novice users are becoming more widespread with an increasing amount of data sources. The complexity of data-driven projects requires input from including interdisciplinary expert and novice users. Our work- shop framework helps taking design decisions collaboratively with experts and novice users, on different levels such as outlining users and goals, identifying tasks, structuring data, and creating data visualization ideas. We conducted workshops for two different data visualization projects. For each project, we conducted a workshop with project stakeholders who are domain experts, then a second workshop with novice users. We collected feedback from participants and used critical reflection on the process. Later on, we created recommendations on how this workshop structure can be used by others. Our main contributions are, (1) the workshop...
Proceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia, 2017
We present ViewFinder, a cross-platform mobile application to support the installation and reconf... more We present ViewFinder, a cross-platform mobile application to support the installation and reconfiguration of marker-based motion capture systems with multiple cameras. ViewFinder addresses a common issue when installing or reconfiguring motion capture systems: that system components such as cameras and the host computer can be physically separate and/or difficult to reach, requiring personnel to maneuver between them frequently and laboriously. ViewFinder allows setup technicians or end-users to visualize the output of each camera in the system in a variety of ways in real time, on a smartphone or tablet, while also providing a means to make adjustments to system parameters such as exposure or marker thresholds on the fly. The app has been designed and evaluated through a process observing user-centered design principles, and effectively reduces the amount of work involved in installing and reconfiguring motion capture systems.
This chapter provides an overview of the data analysis and visualization steered under “An Urban ... more This chapter provides an overview of the data analysis and visualization steered under “An Urban Deep Map for Integration in Turkey” (UDMIT) project, which uses mobile call data records of Syrian refugees under temporary protection provided by Data for Refugees: The D4R Challenge on Mobility of Syrian Refugees in Turkey (Salah et al. Data for refugees: the D4R challenge on mobility of Syrian refugees in Turkey (2018) [25]). First, to examine Syrian refugees’ temporal and spatial dimensions of mobility, the chapter concentrates on their interprovincial migration patterns within Turkey. Based on an analysis of these patterns, the study offers insights on the potential motivations for regular and seasonal interprovincial mobility, especially regarding access to services and employment opportunities in the formal and informal labor market. The findings are also complemented by policy recommendations on how the D4R data can be of use to central and local authorities on providing occupati...
2020 IEEE Workshop on Evaluation and Beyond - Methodological Approaches to Visualization (BELIV)
During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for ... more During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are socially distancing themselves, it becomes an urgent need to refine existing user experience evaluation methods for remote settings to understand how people make sense out of COVID-19 related visualizations. When evaluating visualizations aimed towards the general public with vastly different socio-demographic backgrounds and varying levels of technical savviness and data literacy, it is important to understand user feedback beyond aspects such as speed, task accuracy, or usability problems. As a part of this wider evaluation perspective, micro-phenomenology has been used to evaluate static and narrative visualizations to reveal the lived experience in a detailed way. Building upon these studies, we conducted a user study to understand how to employ Elicitation (aka Micro-phenomenological) interviews in remote settings. In a case study, we investigated what experiences the participants had with map-based interactive visualizations. Our findings reveal positive and negative aspects of conducting Elicitation interviews remotely. Our results can inform the process of planning and executing remote Elicitation interviews to evaluate interactive visualizations. In addition, we share recommendations regarding visualization techniques and interaction design about public health data.
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Journal of Location Based Services
Lecture Notes in Computer Science, 2016
Lecture Notes in Computer Science, 2015
During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for ... more During the coronavirus pandemic, visualizations gained a new level of popularity and meaning for a wider audience. People were bombarded with a wide set of public health visualizations ranging from simple graphs to complex interactive dashboards. In a pandemic setting, where large amounts of the world population are socially distancing themselves, it becomes an urgent need to refine existing user experience evaluation methods for remote settings to understand how people make sense out of COVID-19 related visualizations. When evaluating visualizations aimed towards the general public with vastly different socio-demographic backgrounds and varying levels of technical savviness and data literacy, it is important to understand user feedback beyond aspects such as speed, task accuracy, or usability problems. As a part of this wider evaluation perspective, micro-phenomenology has been used to evaluate static and narrative visualizations to reveal the lived experience in a detailed way. Bu...