Browsing by Author "Celik, Elif"

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Citation - WoS: 1
Citation - Scopus: 3
Evaluation of an Immersive Covid-19 Data Visualization
(IEEE Computer Soc, 2023) Kaya, Furkan; Batmaz, Anıl Ufuk; Celik, Elif; Batmaz, Anil Ufuk K.; Mutasim, Aunnoy K.; Stuerzlinger, Wolfgang; Mechatronics Engineering
COVID-19 restrictions have detrimental effects on the population, both socially and economically. However, these restrictions are necessary as they help reduce the spread of the virus. For the public to comply, easily comprehensible communication between decision makers and the public is thus crucial. To address this, we propose a novel 3-D visualization of COVID-19 data, which could increase the awareness of COVID-19 trends in the general population. We conducted a user study and compared a conventional 2-D visualization with the proposed method in an immersive environment. Results showed that the our 3-D visualization approach facilitated understanding of the complexity of COVID-19. A majority of participants preferred to see the COVID-19 data with the 3-D method. Moreover, individual results revealed that our method increases the engagement of users with the data. We hope that our method will help governments to improve their communication with the public in the future.
Citation - WoS: 2
Citation - Scopus: 3
Eye-Hand Coordination Training: a Systematic Comparison of 2d, Vr, and Ar Display Technologies and Task Instructions
(Ieee Computer Soc, 2024) Aliza, Aliza; Batmaz, Anıl Ufuk; Zaugg, Irene; Saraç Stroppa, Mine; Celik, Elif; Stuerzlinger, Wolfgang; Ortega, Francisco Raul; Batmaz, Anil Ufuk; Sarac, Mine; Mechatronics Engineering
Previous studies on Eye-Hand Coordination Training (EHCT) focused on the comparison of user motor performance across different hardware with cross-sectional studies. In this paper, we compare user motor performance with an EHCT setup in Augmented Reality (AR), Virtual Reality (VR), and on a 2D touchscreen display in a longitudinal study. Through a ten-day user study, we thoroughly analyzed the motor performance of twenty participants with five task instructions focusing on speed, error rate, accuracy, precision, and none. As a novel evaluation criterion, we also analyzed the participants' performance in terms of effective throughput. The results showed that each task instruction has a different effect on one or more psychomotor characteristics of the trainee, which highlights the importance of personalized training programs. Regarding different display technologies, the majority of participants could see more improvement in VR than in 2D or AR. We also identified that effective throughput is a good candidate for monitoring overall motor performance progress in EHCT systems.