Demo Data from EDBT 2026 / reviewers in the wild / expert
Abdullatif Dinc
dblp:303/8625
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0009-0006-2318-0392ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 since 2021
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
1 paper |
Interaction techniques and input · 100% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Interaction techniques and input › input modality › multimodal input
pen and touch input |
0.5 | 1 | 2021 | Bi-3D: Bi-Manual Pen-and-Touch Interaction for 3D Manipulation on Tablets · UIST 2021 |
Methods — techniques the papers use, named apart from their topics
empirical evaluation · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Investigating Mutual Gaze in Real-Time LLM-Driven Avatar Interaction on 2D Screens ETRA005abstractWith the growing presence of AI-driven avatars in everyday applications, understanding how users perceive and respond to such agents becomes increasingly important. A key open question is whether gaze awareness, an avatar’s ability to react to the gaze of a user, contributes to more natural and socially engaging interaction, particularly on conventional 2D screens. We present a real-time system that integrates live speech recognition, LLM-generated responses, and gaze feedback to enable naturalistic unscripted conversations with a virtual avatar. We conducted a within-subjects study (N = 17) comparing a gaze-aware avatar with a nonreactive baseline. The results of the eye-tracking show that gaze awareness significantly altered user eye movement patterns, increasing mutual gaze episodes, and generating subconscious gaze regulation. Our findings demonstrate that realistic gaze behavior affects user interaction on a subconscious level, even outside immersive environments. We discuss implications for designing future conversational AI systems that foster natural social presence. Heiko Drewes, Abdullatif Dinc, Florian Alt |
Proc. ACM Hum. Comput. Interact. | 2 |
| 2021 | Bi-3D: Bi-Manual Pen-and-Touch Interaction for 3D Manipulation on TabletsabstractTablets are attractive for design work anywhere, but 3D manipulations are notoriously difficult. We explore how engaging the stylus and multi-touch in concert can render such tasks easier. We introduce Bi-3D, an interaction concept where touch gestures are combined with 2D pen commands for 3D manipulation. For example, for a fast and intuitive 3D drag & drop technique: the pen drags the object on-screen, and parallel pinch-to-zoom moves it in the third dimension. In this paper, we describe the Bi-3D design space, crossing two-handed input and the degrees-of-freedom (DOF) of 3D manipulation and navigation tasks. We demonstrate sketching and manipulation tools in a prototype 3D design application, where users can fluidly combine 3D operations through alternating and parallel use of the modalities. We evaluate the core technique, bi-manual 3DOF input, against widget and mid-air baselines in an object movement task. We find that Bi-3D is a fast and practical way for multi-dimensional manipulation of graphical objects, promising to facilitate 3D design on stylus and tablet devices. Ken Pfeuffer, Abdullatif Dinc, Jan Obernolte, Radiah Rivu, Yasmeen Abdrabou, Franziska Shelter, Yomna Abdelrahman, Florian Alt |
UIST | 2 |