10 citations · 13 across the 7 of their papers we have counts for
8 papers
Language Proficiency Assessment from Eye Movements in Naturalistic Passage Reading
Shachar Frenkel, Ido Falah, Omer Shubi +1
Standard language proficiency tests rely on linguistic tasks such as vocabulary, grammar and reading comprehension quizzes. An alternative, cognitively motivated approach, introduc…
Decoding Open-Ended Information Seeking Goals from Eye Movements in Reading
Cfir Avraham Hadar, Omer Shubi, Yoav Meiri +2
When reading, we often have specific information that interests us in a text. For example, you might be reading this paper because you are curious about LLMs for eye movements in r…
Déjà Vu? Decoding Repeated Reading from Eye Movements
Yoav Meiri, Omer Shubi, Cfir Avraham Hadar +2
Be it your favorite novel, a newswire article, a cooking recipe or an academic paper -- in many daily situations we read the same text more than once. In this work, we ask whether…
Eye Tracking Based Cognitive Evaluation of Automatic Readability Assessment Methods
Keren Gruteke Klein, Shachar Frenkel, Omer Shubi +1
Automatic methods for scoring text readability have been studied for over a century, and are widely used in research and in user-facing applications in many domains. Thus far, the…
The Effect of Surprisal on Reading Times in Information Seeking and Repeated Reading
Keren Gruteke Klein, Yoav Meiri, Omer Shubi +1
The effect of surprisal on processing difficulty has been a central topic of investigation in psycholinguistics. Here, we use eyetracking data to examine three language processing…
Fine-Grained Prediction of Reading Comprehension from Eye Movements
Omer Shubi, Yoav Meiri, Cfir Avraham Hadar +1
Can human reading comprehension be assessed from eye movements in reading? In this work, we address this longstanding question using large-scale eyetracking data over textual mater…
Decoding Reading Goals from Eye Movements
Omer Shubi, Cfir Avraham Hadar, Yevgeni Berzak
Readers can have different goals with respect to the text that they are reading. Can these goals be decoded from their eye movements over the text? In this work, we examine for the…
MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics
Adam Goldbraikh, Omer Shubi, Or Rubin +2
Action segmentation is a challenging task in high-level process analysis, typically performed on video or kinematic data obtained from various sensors. This work presents two contr…