Ovidiu-Ciprian Ungurean

schoolStefan cel Mare University of Suceavabar_chart#2200 Global Rank

Total Papers

HCI Rank

#2200

Research Areas

Years Active

Recent Publications

Latest papers from Ovidiu-Ciprian Ungurean

CHI '26CorrespondingMotor Impairment Assistive Input Technologies +1

Imagine, Interact: Eliciting Accessible Interactions from Users with Motor Impairments via Imagined Input Devices

We present empirical results from a study conducted with eleven users with upper-body motor impairments who imagined input devices and corresponding gestures to operate them for performing common tasks in interactive systems. We report a strong preference for embodying devices (80%), primarily through the hands, rathe…

CHI '232nd AuthorHonorable MentionFull-Body Interaction & Embodied Input +1

Understanding Wheelchair Users' Preferences for On-Body, In-Air, and On-Wheelchair Gestures

We present empirical results from a gesture elicitation study conducted with eleven wheelchair users that proposed on-body, in-air, and on-wheelchair gestures to effect twenty-one referents representing common actions, types of digital content, and navigation commands for interactive systems. We report a large prefere…

UIST '222nd AuthorUniversal & Inclusive Design +1

Interactive Public Displays and Wheelchair Users: Between Direct, Personal and Indirect, Assisted Interaction

We examine accessible interactions for wheelchair users and public displays with three studies. In a first study, we conduct a Systematic Literature Review, from which we report very few scientific papers on this topic and a preponderant focus on touch input. In a second study, we conduct a Systematic Video Review usi…

CHI '22CorrespondingHaptic Wearables +2

Understanding Gesture Input Articulation with Upper-Body Wearables for Users with Upper-Body Motor Impairments

We examine touchscreen stroke-gestures and mid-air motion-gestures articulated by users with upper-body motor impairments with devices worn on the wrist, finger, and head. We analyze users' gesture input performance in terms of production time, articulation consistency, and kinematic measures, and contrast the perform…

CHI '19CorrespondingMotor Impairment Assistive Input Technologies

Stroke-Gesture Input for People with Motor Impairments: Empirical Results & Research Roadmap

We examine the articulation characteristics of stroke-gestures produced by people with upper body motor impairments on touchscreens as well as the accuracy rates of popular classification techniques, such as the $-family, to recognize those gestures. Our results on a dataset of 9,681 gestures collected from 70 partici…

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