most citedMetrics for Bengali Text Entry Research

4 citations · 4 across the 2 of their papers we have counts for

collaborators

7 papers

cs.HC20202 cited

Enabling Input on Tiny/Headless Systems Using Morse Code

Anna-Maria Gueorguieva, Gulnar Rakhmetulla, Ahmed Sabbir Arif

This paper presents results of a pilot study that explored the potential of Morse code as a method for text entry on mobile devices. In the study, participants without prior experi…

cs.HC2020

Evaluating Feedback Strategies for Virtual Human Trainers

Xiumin Shang, Ahmed Sabbir Arif, Marcelo Kallmann

In this paper we address feedback strategies for an autonomous virtual trainer. First, a pilot study was conducted to identify and specify feedback strategies for assisting partici…

cs.HC2020

Metrics for Multi-Touch Input Technologies

Ahmed Sabbir Arif

Multi-touch input technologies are becoming popular with the increased interest in touchscreen- and touchpad-based devices. A great deal of work has been done on different multi-to…

cs.HC2020

Exploratory Study of Young Children's Social Media Needs and Requirements

Di "Chelsea" Sun, Vaishnavi Melkote, Ahmed Sabbir Arif

As social media are becoming increasingly popular among young children, it is important to explore this population's needs and requirements from these platforms. As a first step to…

cs.HC2018

Put a Ring on It: Text Entry Performance on a Grip Ring Attached Smartphone

Monwen Shen, Gulnar Rakhmetulla, Ahmed Sabbir Arif

This paper presents results of a study investing effects of grip rings on text entry. Results revealed that grip rings do not affect text entry performance in terms of speed, accur…

cs.HC2018

The Perception of Humanoid Robots for Domestic Use in Saudi Arabia

Ohoud Alharbi, Ahmed Sabbir Arif

We propose a research to investigate Saudi peoples' perception of humanoid domestic robots and attitude towards the possibility of having one in their house. Through a series of qu…