Cengiz Acartürk

EDBT 2026 Demo / reviewers in the wild / expert

dblp:55/11174 · DBLP profile ↗

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22ranked-venue papers

6as first author

11since 2021 · last 2026

0000-0002-5443-6868ORCID · corroborated

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

Artificial intelligence and machine learning · 15 · 5 first-author · 6 since 2021Applied, interdisciplinary, general and emerging computing · 11 · 3 first-author · 5 since 2021Human-computer interaction and ubiquitous computing · 4 · 3 since 2021Security and privacy · 3 · 1 first-author · 2 since 2021Databases, data management, data science and information retrieval · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Year	Publication	Venue	Position
2026	The MultiplEYE Text Corpus: Towards a Diverse and Ever-Expanding Multilingual Text Corpus Ramune Kaspere, Anna Bondar, Sergiu Nisioi, Maja Stegenwallner-Schütz, Hanne B. Søndergaard Knudsen, Ana Matic Skoric, Eva Pavlinusic Vilus, Dorota Klimek-Jankowska, Chiara Tschirner, Not Battesta Soliva, Deborah N. Jakobi, Cui Ding, Dima Abu Romi, Cengiz Acartürk, Matilda Agdler, Anton Marius Alexandru, Mohd Faizan Ansari, Annalisa Arcidiacono, Elizabete Ausma Velta Barisa, Ana Bautista, Lisa Beinborn, Yevgeni Berzak, Nedeljka Bjelanovic, Anna Isabelle Bothmann, Jan Brasser, Caterina Cacioli, Anila Çepani, Ilze Ceple, Adelina Çerpja, Dalí Chirino, Jan Chromý, Alessandro Corona Mendozza, Iria de-Dios-Flores, Nazik Dinçtopal Deniz, Ana Dosen, Kristian Elersic, Inmaculada Fajardo, Zigmunds Freibergs, Angelina Ganebnaya, Jessica Gomes, Annjo Klungervik Greenall, Alba Haveriku, Anamaria Hodivoianu, Yu-Yin Hsu, Amanda Isaksen, Andreia Janeiro, Kristine M. Jensen de López, Aleksandar Jevremovic, Vojislav Jovanovic, Hanna Kedzierska, Nik Kharlamov, Sara Kosutar, Nelda Kote, Vanja Kovic, Izabela Krejtz, Thyra Krosness, Oleksandra Kuvshynova, Eilam Lavy, Ella Lion, Marta Lockiewicz, Kaidi Lõo, Paula Luegi, Mircea Mihai Marin, Clara Martin, Svitlana Matvieieva, Diane C. Mézière, Xavier Mínguez-López, Valeriia Modina, Jurgita Motiejuniene, Marie-Luise Müller, Tolgonai Nasipbek kyzy, Jamal Abdul Nasir, Johanne Sofie Krog Nedergård, Aysegül Özkan, Patrizia Paggio, Marijan Palmovic, Maria Christina Panagiotopoulou, Alberto Parola, Helena Pérez, Klaudia Petersen, Anja Podlesek, Eva Pospísilová, Marta Praulina, Mikulás Preininger, Loredana Punga, Diego Rossini, Spela Rot, Habib Sani Yahaya, Irina A. Sekerina, Anne Gabija Skadina, Jordi Solé i Casals, Lonneke van der Plas, Saara M. Varjopuro, Spyridoula Varlokosta, João Veríssimo, Oskari Juhapekka Virtanen, Nemanja Vracar, Mila Dimitrova-Vulchanova, Ahmad Mustapha Wali, Peizheng Wu, Nilgün Yücel, Stefan Frank, Nora Hollenstein, Lena A. Jäger, Somayeh Bakhtiari	LREC	14
2025	MultiplEYE: Creating a multilingual eye-tracking-while-reading corpus abstract Contains fulltext : 326363.pdf (Publisher’s version ) (Open Access) Deborah N. Jakobi, Maja Stegenwallner-Schütz, Nora Hollenstein, Cui Ding, Ramune Kaspere, Ana Matic Skoric, Eva Pavlinusic Vilus, Stefan Frank, Marie-Luise Müller, Kristine M. Jensen de López, Nik Kharlamov, Hanne B. Søndergaard Knudsen, Yevgeni Berzak, Ella Lion, Irina A. Sekerina, Cengiz Acartürk, Mohd Faizan Ansari, Katarzyna Harezlak, Pawel Kasprowski, Ana Bautista, Lisa Beinborn, Anna Bondar, Antonia Boznou, Leah Bradshaw, Jana Mara Hofmann, Thyra Krosness, Not Battesta Soliva, Anila Çepani, Kristina Cergol, Ana Dosen, Marijan Palmovic, Adelina Çerpja, Dalí Chirino, Jan Chromý, Vera Demberg, Iza Skrjanec, Nazik Dinçtopal Deniz, Inmaculada Fajardo, Mariola Giménez-Salvador, Xavier Mínguez-López, Maros Filip, Zigmunds Freibergs, Jessica Gomes, Andreia Janeiro, Paula Luegi, João Veríssimo, Sasho Gramatikov, Jana Hasenäcker, Alba Haveriku, Nelda Kote, Muhammad Mohsin Kamal, Hanna Kedzierska, Dorota Klimek-Jankowska, Sara Kosutar, Daniel Krakowczyk, Izabela Krejtz, Marta Lockiewicz, Kaidi Lõo, Jurgita Motiejuniene, Jamal Abdul Nasir, Johanne Sofie Krog Nedergård, Aysegül Özkan, Mikulás Preininger, Loredana Punga, David R. Reich, Chiara Tschirner, Spela Rot, Andreas Säuberli, Jordi Solé i Casals, Ekaterina Strati, Igor Svoboda, Evis Trandafili, Spyridoula Varlokosta, Mila Dimitrova-Vulchanova, Lena A. Jäger	ETRA	16
2024	Spatial Term Variety Reflected in Eye Movements on Visual Scenes Cengiz Acartürk, Seyma Nur Ertekin	CogSci	1
2024	Refixation Strategies in Sentential Word Reading: An Exploration by Linked Linear Mixed Models Aysegül Özkan, Cengiz Acartürk	CogSci	2
2024	Mind Perception at Play: Exploring Agent and Action Dynamics in Real-Time Human-Robot Interaction Tugçe Nur Pekçetin, Seyda Evsen, Serkan Pekçetin, Cengiz Acartürk, Burcu A. Urgen	CogSci	4
2023	Multisensory Integration of Audiovisual Information in Avatar Faces: An Experimental Investigation of McGurk Effect Babak Allahgholipour, Furkan Yaz, Aysegül Özkan, Cengiz Acartürk	CogSci	4
2023	Studying Mind Perception in Social Robotics Implicitly: The Need for Validation and Norming abstract The recent shift towards incorporating implicit measurements into the mind perception studies in social robotics has come along with its promises and challenges. The implicit tasks can go beyond the limited scope of the explicit tasks and increase the robustness of empirical investigations in human-robot interaction (HRI). However, designing valid and reliable implicit tasks requires norming and validating all stimuli to ensure no confounding factors interfere with the experimental manipulations. We conducted a lexical norming study to systematically explore the concepts suitable for an implicit task that measures mind perception induced by social robots. Two-hundred seventy-four participants rated an expanded and strictly selected list of forty mental capacities in two categories: Agency and Experience, and in two levels of capacities: High and Low. We used the partitioning around medoids algorithm as an objective way of revealing the clusters. We discussed the different clustering solutions in light of the previous findings. We consulted on frequency-based natural language processing (NLP) on the answers to the open-ended questions. The NLP analyses verified the significance of clear instructions and the presence of some common conceptualizations across dimensions. We proposed a systematic approach that encourages validation and norming studies, which will further improve the reliability and reproducibility of HRI studies. Tugçe Nur Pekçetin, Badel Barinal, Jana Tunç, Cengiz Acartürk, Burcu A. Urgen	HRI	4
2021	Automatic Detection of Cyber Security Events from Turkish Twitter Stream and Newspaper Data abstract Cybersecurity experts scan the internet and face security events that influence user and institutions. An information security analyst regularly examines sources to stay up to date on security events in the domain of expertise. This may lead to a heavy workload for the information analysts if they do not have proper tools for security event investigation. For example, an information analyst may want to stay aware of cybersecurity events, such as a DDoS (Distributed Denial of Service) attack on a government agency website. The earlier they detect and understand the threats, the longer the time remaining to alleviate the obstacle and to investigate the event. Therefore, information security analysts need to establish and keep situational awareness active about the security events and their likely effects. However, due to the large volume of information flow, it may be difficult for security analysts and researchers to detect and analyze security events timely. It is important to detect security events timely. This study aims at developing tools that are able to provide timely reports of security incidents. A recent challenge is that the internet community use different languages to share information. For instance, information about security events in Turkey is mostly shared on the internet in Turkish. The present study investigates automatic detection of security incidents in Turkish by processing data from Twitter and news media. It proposes an automatic prototype, Turkish-specific software system that can detect cybersecurity events in real time. Özgür Ural, Cengiz Acartürk	ICISSP	2
2021	Detecting Turkish Phishing Attack with Machine Learning Algorithm Melih Turhanlar, Cengiz Acartürk	WEBIST	2
2021	Continuous improvement on maturity and capability of Security Operation Centres abstract Abstract This study addresses maturity and capability assessment of Security Operation Centres (SOC). It aims to contribute to continuous improvement for SOCs by proposing a complementary methodology that provides SOCs a self‐assessment capability. The method basically involves an assessment of the gaps between the current and the desired states of the organization and facilitates determining critical aspects that have priority. The proposed methodology is based on the define, measure, analyze, improve, and control methodology of the Six Sigma approach and offers a service‐oriented improvement process for SOCs. The applicability of the methodology is demonstrated by a case study. We evaluated subject matter experts’ reviews using simplified conversation analysis as a qualitative, content‐analysis approach. Cengiz Acartürk, Murat Ulubay, Efe Erdur	IET Inf. Secur.	1
2021	Integrating Mobile Multimodal Interactions based on Programming By Demonstration abstract Mobile Multimodal Interaction aims at exploiting complementary aspects of human communication capacities and new mobile sensors. Recently, most mobile applications are limited to a basic interaction modality, namely touchscreen, which is subject to restricted interaction under certain situations. In this paper, we present On-the-Fly Interaction Editor (OFIE), an application that allows mobile end-users to define and integrate sensor-based unimodal and multimodal input interactions in their already installed applications according to their contexts. OFIE is based on the Event-Condition-Action rules and Programming By Demonstration approach that allows end-users to demonstrate their expected action simply by performing it on the application’s interface. We evaluated OFIE through a controlled user study. Our evaluation involves 15 participants distributed on 4 groups based on their programming experience. Each participant was invited to integrate six input interactions (three multimodal inputs). The initial results show that end-users are able to successfully integrate sensor-based input interactions using OFIE. Zouhir Bellal, Nadia Elouali, Sidi Mohamed Benslimane, Cengiz Acartürk	Int. J. Hum. Comput. Interact.	4
2017	The Role of Letter Frequency on Eye Movements in Sentential Pseudoword Reading Cengiz Acartürk, Özkan Kiliç, Bilal Kirkici, Burcu Can, Aysegül Özkan	CogSci	1
2017	Does the Strength of Sentiment Matter? A Regression Based Approach on Turkish Social Media Ali Mert Ertugrul, Itir Önal, Cengiz Acartürk	NLDB	3
2015	"Read That Article": Exploring Synergies between Gaze and Speech Interaction abstract Gaze information has the potential to benefit Human-Computer Interaction (HCI) tasks, particularly when combined with speech. Gaze can improve our understanding of the user intention, as a secondary input modality, or it can be used as the main input modality by users with some level of permanent or temporary impairments. In this paper we describe a multimodal HCI system prototype which supports speech, gaze and the combination of both. The system has been developed for Active Assisted Living scenarios. Diogo Vieira, João Freitas, Cengiz Acartürk, António J. S. Teixeira, Luís Sousa, Samuel S. Silva, Sara Candeias, José Miguel Salles Dias	ASSETS	3
2015	Gesture Production under Instructional Context: The Role of Mode of Instruction Melda Coskun, Cengiz Acartürk	CogSci	2
2014	The analysis of feature selection methods and classification algorithms in permission based Android malware detection abstract Android mobile devices have reached a widespread use since the past decade, thus leading to an increase in the number and variety of applications on the market. However, from the perspective of information security, the user control of sensitive information has been shadowed by the fast development and rich variety of the applications. In the recent state of the art, users are subject to responding numerous requests for permission about using their private data to be able run an application. The awareness of the user about data protection and its relationship to permission requests is crucial for protecting the user against malicious software. Nevertheless, the slow adaptation of users to novel technologies suggests the need for developing automatic tools for detecting malicious software. In the present study, we analyze two major aspects of permission-based malware detection in Android applications: Feature selection methods and classification algorithms. Within the framework of the assumptions specified for the analysis and the data used for the analysis, our findings reveal a higher performance for the Random Forest and J48 decision tree classification algorithms for most of the selected feature selection methods. Ugur Pehlivan, Nuray Baltaci Akhuseyinoglu, Cengiz Acartürk, Nazife Baykal	CICS	3
2014	The Distinction Between Unaccusative and Unergative Verbs in Turkish: An Offline and an Eye Tracking Study of Split Intransitivity Deniz Zeyrek, Cengiz Acartürk	CogSci	2
2013	Gesture and Language Production in Communication through Bar Graphs Özge Alaçam, Christopher Habel, Cengiz Acartürk	CogSci	3
2013	The Role of Visual Coherence in Graphical Passwords Ülkü Arslan Aydin, Cengiz Acartürk, Kursat Cagiltay	CogSci	2
2012	Gestures in Communication through Line Graphs Cengiz Acartürk, Özge Alaçam	CogSci	1
2012	Points, Lines and Arrows in Statistical Graphs Cengiz Acartürk	Diagrams	1
2008	Multimodal Comprehension of Graphics with Textual Annotations: The Role of Graphical Means Relating Annotations and Graph Lines Cengiz Acartürk, Christopher Habel, Kursat Cagiltay	Diagrams	1