Hi, I'm Ari.

I'm a software developer and HCI Researcher.

About

My profile picture.

I graduated from Mercyhurst University (USA) with a degree in Information Technology. During my studies I was always interested in web technologies, with a special interest in data visualization. I'm currently working on my Master's degree in Computer Science at the University of Saskatchewan under the supervision of Carl Gutwin.
Check out my resume for more about me, or my CV for a more comprehensive overview.

Education

Experience


Projects


Research

CHI 2019. Aristides Mairena, Carl Gutwin, Andy Cockburn.

Peripheral Notifications in Large Displays: Effects of Feature Combination and Task Interference

Visual notifications are integral to interactive computing systems. With large displays, however, much of the content is in the user's visual periphery, where human capacity to notice visual effects is diminished. One design strategy for enhancing noticeability is to combine visual features, such as motion and colour. Yet little is known about how feature combinations affect noticeability across the visual field, or about how peripheral noticeability changes when a user's primary task involves the same visual features as the notification. We addressed these questions by conducting two studies. Results of the first study showed that noticeability of feature combinations were approximately equal to the better of the individual features. Results of the second study suggest that there can be interference between the features of primary tasks and the visual features in the notifications. Our findings contribute to a better understanding of how visual features operate when used as peripheral notifications. ...Read More


CHI Play 2018. Martin Dechant, Ian Stavness, Aristides Mairena, Regan Mandryk.

Empirical Evaluation of Hybrid Gaze-Controller Selection Techniques in a Gaming Context

Controller-based interaction is popular due to the increasing prevalence of console and couch-based games, but is known to be slower and less accurate than aiming with a mouse. In this study we evaluated the performance of five interaction techniques for games to answer the question, if gaze interaction can improve the performance of controller interaction. We compared mouse only, controller only, gaze only with two commonly used gaze and controller hybrid interactions: gaze teleportation and gaze panning. We implemented a targeting game that resembled a Fitts' Law test to evaluate performance, effort, and preference. Our findings show that mouse was the fastest technique and gaze was both the slowest and most error-prone. For the controller-based techniques, players preferred gaze teleportation over the other techniques; however, it only improved performance over the controller for targets that were small and far away. ...Read More

Contact