Zobrazeno 1 - 10 of 62 pro vyhledávání: '"Ahmed Sabbir Arif"'
1
TiltWalker: Operating a Telepresence Robot with One-Hand by Tilt Controls on a Smartphone
Autor: Ghazal Zand, Yuan Ren, Ahmed Sabbir Arif
Publikováno v: Proceedings of the ACM on Human-Computer Interaction. 6:381-406
Mobile clients for telepresence robots are cluttered with interactive elements that either leave a little room for the camera feeds or occlude them. Many do not provide meaningful feedback on the robot's state and most require the use of both hands.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3d93408a588a7862580c2b668200f7fc
https://doi.org/10.1145/3567725
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2
Design and Evaluation of a Silent Speech-Based Selection Method for Eye-Gaze Pointing
Autor: Laxmi Pandey, Ahmed Sabbir Arif
Publikováno v: Proceedings of the ACM on Human-Computer Interaction. 6:328-353
We investigate silent speech as a hands-free selection method in eye-gaze pointing. We first propose a stripped-down image-based model that can recognize a small number of silent commands almost as fast as state-of-the-art speech recognition models.
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ea9fe4a768912a7a0eeb5f594a624b06
https://doi.org/10.1145/3567723
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3
Push, Tap, Dwell, and Pinch: Evaluation of Four Mid-air Selection Methods Augmented with Ultrasonic Haptic Feedback
Autor: Tafadzwa Joseph Dube, Yuan Ren, Hannah Limerick, I. Scott MacKenzie, Ahmed Sabbir Arif
Publikováno v: Proceedings of the ACM on Human-Computer Interaction. 6:207-225
This work compares four mid-air target selection methods (Push, Tap, Dwell, Pinch) with two types of ultrasonic haptic feedback (Select, HoverSelect) in a Fitts’ law experiment. Results revealed that Tap is the fastest, the most accurate, and one o
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ecbac26bf76587d524df747463183690
https://doi.org/10.1145/3567718
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7
Stepper, Swipe, Tilt, Force
Autor: Ahmed Sabbir Arif, Yuan Ren
Publikováno v: Proceedings of the ACM on Human-Computer Interaction. 5:1-21
Picking numbers is arguably the most frequently performed input task on smartwatches. This paper presents three new methods for picking numbers on smartwatches by performing directional swipes, twisting the wrist, and varying contact force on the scr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b3c8db43bf2231cde45aadc817420615
https://doi.org/10.1145/3488545
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