Detelina Vitanova
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Detelina Vitanova has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Adelina Kremenska
Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
1 shared publication - Anna Andreeva
South-West University “Neofit Rilski
1 shared publication - Anna Lekova
Institute of Robotics, Bulgarian Academy of Sciences, 1113 Sofia, Bulgaria
1 shared publication - Georgi Dimitrov
University of Library Studies and Information Technologies, Sofia, Bulgaria
1 shared publication - Gergana Padareva-Ilieva
South-West University “Neofit Rilski
1 shared publication - Gergana Yancheva1 shared publication
Latest Publications
- 18 February 2026
- Published by Springer Nature
- p. 608-617
Artificial Intelligence and Bulgarian Libraries: Practices, Perceptions and Opportunities for Optimization
- 18 February 2026
- Published by Springer Nature
- p. 608-617
Artificial Intelligence and Bulgarian Libraries: Practices, Perceptions and Opportunities for Optimization
- Open Access
- 16 July 2025
- Published by MDPI AG in Technologies
- Vol. 13 (7) , 306
A Design-Based Research Approach to Streamline the Integration of High-Tech Assistive Technologies in Speech and Language Therapy
Currently, high-tech assistive technologies (ATs), particularly Socially Assistive Robots (SARs), virtual reality (VR) and conversational AI (ConvAI), are considered very useful in supporting professionals in Speech and Language Therapy (SLT) for children with communication disorders. However, despite a positive public perception, therapists face difficulties when integrating these technologies into practice due to technical challenges and a lack of user-friendly interfaces. To address this gap, a design-based research approach has been employed to streamline the integration of SARs, VR and ConvAI in SLT, and a new software platform called “ATLog” has been developed for designing interactive and playful learning scenarios with ATs. ATLog’s main features include visual-based programming with graphical interface, enabling therapists to intuitively create personalized interactive scenarios without advanced programming skills. The platform follows a subprocess-oriented design, breaking down SAR skills and VR scenarios into microskills represented by pre-programmed graphical blocks, tailored to specific treatment domains, therapy goals, and language skill levels. The ATLog platform was evaluated by 27 SLT experts using the Technology Acceptance Model (TAM) and System Usability Scale (SUS) questionnaires, extended with additional questions specifically focused on ATLog structure and functionalities. According to the SUS results, most of the experts (74%) evaluated ATLog with grades over 70, indicating high acceptance of its usability. Over half (52%) of the experts rated the additional questions focused on ATLog’s structure and functionalities in the A range (90–100), while 26% rated them in the B range (80–89), showing strong acceptance of the platform for creating and running personalized interactive scenarios with ATs. According to the TAM results, experts gave high grades for both perceived usefulness (44% in the A range) and perceived ease of use (63% in the A range).
- 16 July 2025
- Published by MDPI AG in Technologies
- Vol. 13 (7) , 306
Open AccessA Design-Based Research Approach to Streamline the Integration of High-Tech Assistive Technologies in Speech and Language Therapy
Currently, high-tech assistive technologies (ATs), particularly Socially Assistive Robots (SARs), virtual reality (VR) and conversational AI (ConvAI), are considered very useful in supporting professionals in Speech and Language Therapy (SLT) for children with communication disorders. However, despite a positive public perception, therapists face difficulties when integrating these technologies into practice due to technical challenges and a lack of user-friendly interfaces. To address this gap, a design-based research approach has been employed to streamline the integration of SARs, VR and ConvAI in SLT, and a new software platform called “ATLog” has been developed for designing interactive and playful learning scenarios with ATs. ATLog’s main features include visual-based programming with graphical interface, enabling therapists to intuitively create personalized interactive scenarios without advanced programming skills. The platform follows a subprocess-oriented design, breaking down SAR skills and VR scenarios into microskills represented by pre-programmed graphical blocks, tailored to specific treatment domains, therapy goals, and language skill levels. The ATLog platform was evaluated by 27 SLT experts using the Technology Acceptance Model (TAM) and System Usability Scale (SUS) questionnaires, extended with additional questions specifically focused on ATLog structure and functionalities. According to the SUS results, most of the experts (74%) evaluated ATLog with grades over 70, indicating high acceptance of its usability. Over half (52%) of the experts rated the additional questions focused on ATLog’s structure and functionalities in the A range (90–100), while 26% rated them in the B range (80–89), showing strong acceptance of the platform for creating and running personalized interactive scenarios with ATs. According to the TAM results, experts gave high grades for both perceived usefulness (44% in the A range) and perceived ease of use (63% in the A range).