Browsing by Author "Mutasim, Aunnoy K."

Now showing 1 - 5 of 5

Citation - WoS: 1
Citation - Scopus: 2
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
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: 1
Citation - Scopus: 1
The Guided Evaluation Method: an Easier Way To Empirically Estimate Trained User Performance for Unfamiliar Keyboard Layouts
(Academic Press Ltd- Elsevier Science Ltd, 2024) Mutasim, Aunnoy K.; Batmaz, Anıl Ufuk; Batmaz, Anil Ufuk; Mughrabi, Moaaz Hudhud; Stuerzlinger, Wolfgang
To determine in a user study whether proposed keyboard layouts, such as OPTI, can surpass QWERTY in performance, extended training through longitudinal studies is crucial. However, addressing the challenge of creating trained users presents a logistical bottleneck. A common alternative involves having participants type the same word or phrase repeatedly. We conducted two separate studies to investigate this alternative. The findings reveal that both approaches, repeatedly typing words or phrases, have limitations in accurately estimating trained user performance. Thus, we propose the Guided Evaluation Method (GEM), a novel approach to quickly estimate trained user performance with novices. Our results reveal that in a matter of minutes, participants exhibited performance similar to an existing longitudinal study - OPTI outperforms QWERTY. As it eliminates the need for resource-intensive longitudinal studies, our new GEM thus enables much faster estimation of trained user performance. This outcome will potentially reignite research on better text entry methods.
Citation - WoS: 16
Citation - Scopus: 17
My Eyes Hurt: Effects of Jitter in 3D Gaze Tracking
(IEEE Computer Soc, 2022) Batmaz, Anıl Ufuk; Mutasim, Aunnoy K.; Stuerzlinger, Wolfgang; Batmaz, Anil Ufuk
Jitter, small fluctuations in the signal, is one of the major sources for a decrease in motor performance and a negative user experience in virtual reality (VR) systems. Current technologies still cannot eliminate jitter in VR systems, especially in the eye-gaze tracking systems embedded in many head-mounted displays. In this work, we used an HTC Vive Pro Eye, artificially added 0.5 degrees, 1 degrees, and 1.5 degrees jitter to the eye-tracking data, and analyzed user performance in an ISO 9241:411 pointing task with targets at 1 or 2 meters visual distance using angular Fitts' law. The results showed that the user's error rate significantly increases with increased jitter levels. No significant difference was observed for time and throughput. Additionally, we observed a significant decrease in performance in terms of time, error rate, and accuracy for the more distant targets. We hope that our results guide researchers, practitioners, and developers towards better gaze-tracking-based VR applications.
Citation - WoS: 6
Citation - Scopus: 7
Performance Analysis of Saccades for Primary and Confirmatory Target Selection
(Assoc Computing Machinery, 2022) Batmaz, Anıl Ufuk; Batmaz, Anil Ufuk; Mughrabi, Moaaz Hudhud; Stuerzlinger, Wolfgang
In eye-gaze-based selection, dwell suffers from several issues, e.g., the Midas Touch problem. Here we investigate saccade-based selection techniques as an alternative to dwell. First, we designed a novel user interface (UI) for Actigaze and used it with ( goal-crossing) saccades for confirming the selection of small targets (i.e., < 1.5-2 degrees). We compared it with three other variants of Actigaze (with button press, dwell, and target reverse crossing) and two variants of target magnification (with button press and dwell). Magnification-dwell exhibited the most promising performance. For Actigaze, goal-crossing was the fastest option but suffered the most errors. We then evaluated goal-crossing as a primary selection technique for normal-sized targets (>= 2 degrees) and implemented a novel UI for such interaction. Results revealed that dwell achieved the best performance. Yet, we identified goal-crossing as a good compromise between dwell and button press. Our findings thus identify novel options for gaze-only interaction.
Citation - WoS: 0
The Role of the Depth Dimension in 3D Visualizations for Dense Data Understanding
(Sage Publications Ltd, 2022) Batmaz, Anıl Ufuk; Batmaz, Anil Ufuk; Mutasim, Aunnoy K.; Stuerzlinger, Wolfgang
[Abstract Not Available]