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Çagla Çig Karaman

dblp:14/8670 · also Çagla Çig · DBLP profile ↗
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4ranked-venue papers
4as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 3 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Wearable and physiological sensing · 56% Interaction techniques and input · 31% Human-AI interaction · 14%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › eye tracking
gaze-based interaction
0.422018
Gaze-based predictive user interfaces: Visualizing user intentions in the presence of uncertainty · Int. J. Hum. Comput. Stud. 2018
Gaze-based prediction of pen-based virtual interaction tasks · Int. J. Hum. Comput. Stud. 2015
Interaction techniques and input
pen input
0.212015
Gaze-based prediction of pen-based virtual interaction tasks · Int. J. Hum. Comput. Stud. 2015
Human-AI interaction › explainable AI › uncertainty communication
uncertainty visualization
0.112018
Gaze-based predictive user interfaces: Visualizing user intentions in the presence of uncertainty · Int. J. Hum. Comput. Stud. 2018

Methods — techniques the papers use, named apart from their topics

machine learning · 0.2
YearPublicationVenuePosition
2018 Gaze-based predictive user interfaces: Visualizing user intentions in the presence of uncertainty
Çagla Çig Karaman, Tevfik Metin Sezgin
Int. J. Hum. Comput. Stud.1
2015 Gaze-based prediction of pen-based virtual interaction tasks
Çagla Çig Karaman, Tevfik Metin Sezgin
Int. J. Hum. Comput. Stud.1
2014 Gaze-Based Proactive User Interface for Pen-Based Systems
abstract
In typical human-computer interaction, users convey their intentions through traditional input devices (e.g. keyboards, mice, joysticks) coupled with standard graphical user interface elements. Recently, pen-based interaction has emerged as a more intuitive alternative to these traditional means. However, existing pen-based systems are limited by the fact that they rely heavily on auxiliary mode switching mechanisms during interaction (e.g. hard or soft modifier keys, buttons, menus). In this paper, I describe the roadmap for my PhD research which aims at using eye gaze movements that naturally occur during pen-based interaction to reduce dependency on explicit mode selection mechanisms in pen-based systems.
Çagla Çig Karaman
ICMI1
2010 Realistic Emotional Gaze and Head Behavior Generation Based on Arousal and Dominance Factors
Çagla Çig Karaman, Zerrin Kasap, Arjan Egges, Nadia Magnenat-Thalmann
MIG1