Ahmed Sabbir Arif

schoolUniversity of Californiabar_chart#1135 Global Rank

Total Papers

HCI Rank

#1135

Research Areas

Years Active

Recent Publications

Exploring the Impacts of HEXACO Personality Traits on Text Composition and Transcription

This study investigates the relationship between the HEXACO personality traits and text entry behaviors in composition and transcription tasks. By analyzing metrics such as entry speed, accuracy, editing efforts, and readability, we identified correlations between specific traits and text entry performance. In composi…

CHI '24CorrespondingContext-Aware Computing

Investigating the Effects of Self-selected Pleasant Scents on Text Composition and Transcription Performance

The extensive use of computers for text entry has been linked to increased stress, depression, and sleep disturbances, adversely affecting performance. Recent trends involve using scent diffusers to counter these effects. However, the impact of scents on text entry performance is not well-studied. Our empirical study…

CHI '24CorrespondingIn-Vehicle Haptic, Audio & Multimodal Feedback +1

MELDER: The Design and Evaluation of a Real-time Silent Speech Recognizer for Mobile Devices

Silent speech is unaffected by ambient noise, increases accessibility, and enhances privacy and security. Yet current silent speech recognizers operate in a phrase-in/phrase-out manner, thus are slow, error prone, and impractical for mobile devices. We present MELDER, a Mobile Lip Reader that operates in real-time by…

MOBILEHCI '23CorrespondingHand Gesture Recognition +1

GeShort: One-Handed Mobile Text Editing and Formatting with Gestural Shortcuts and a Floating Clipboard

GeShort is a novel method for one-handed text editing and formatting on mobile devices. It uses simple rules to facilitate direct cursor positioning, gestural shortcuts inspired by keyboard hotkeys for editing and formatting, and a floating clipboard to enable delayed, repeated, and block editing. A comparison between…

CHI '23CorrespondingFoot & Wrist Interaction +1

Crownboard: A One-Finger Crown-Based Smartwatch Keyboard for Users with Limited Dexterity

Mobile text entry is difficult for people with motor impairments due to limited access to smartphones and the need for precise target selection on touchscreens. Text entry on smartwatches, on the other hand, has not been well explored for the population. Crownboard enables people with limited dexterity enter text on a…

CHI '21CorrespondingVoice User Interface (VUI) Design +1

Acceptability of Speech and Silent Speech Input Methods in Private and Public

Silent speech input converts non-acoustic features like tongue and lip movements into text. It has been demonstrated as a promising input method on mobile devices and has been explored for a variety of audiences and contexts where the acoustic signal is unavailable (e.g., people with speech disorders) or unreliable (e…

CHI '21CorrespondingHand Gesture Recognition +2

LipType: A Silent Speech Recognizer Augmented with an Independent Repair Model

Speech recognition is unreliable in noisy places, compromises privacy and security when around strangers, and inaccessible to people with speech disorders. Lip reading can mitigate many of these challenges but the existing silent speech recognizers for lip reading are error prone. Developing new recognizers and acquir…

CHI '20CorrespondingVisual Impairment Technologies (Screen Readers, Tactile Graphics, Braille) +2

Senorita: A Chorded Keyboard for Sighted, Low Vision, and Blind Mobile Users

Senorita is a novel two-thumb virtual chorded keyboard for mobile devices. It arranges the letters on eight keys in a single row by the bottom edge of the device based on letter frequencies and the anatomy of the thumbs. Unlike most chorded methods, it provides visual cues to perform the chording actions in sequence,…

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