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Cognitive training for adults with developmental deficits led by a socially intelligent robot
ID Košir, Andrej (Author), ID Burnik, Urban (Author), ID Zaletelj, Janez (Author), ID Gril, Gaja (Author), ID Svetelšek, Ajda (Author), ID Tomažič, Sašo (Author), ID Podlesek, Anja (Author)

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Abstract
This work presents a socially intelligent robotic system for cognitive training of adults with developmental deficits in a therapist-half-supervised setting. The core idea is to move beyond one-way robot prompting toward a structured, ethically grounded, data-aware intervention framework in which the robot, end user, and therapist form a coordinated triad. The proposed system combines robot behaviour management, session orchestration, user monitoring, and therapist oversight within a unified architecture suitable for iterative real-world deployment. The benefit of this approach lies in the effective integration of artificial intelligence components, human-robot interaction, psychology, and the extensive experience of human experts. Interaction in a real-world environment and the labeling of test datasets occur simultaneously. The contribution is threefold. First, we define a computer-robot-therapist-end-user architecture that explicitly models information flow, therapist control, and adaptive interaction. Second, we provide an experimental procedure for cognitive training sessions that includes training content, session organization, and a user-experience evaluation framework. Third, we introduce a data protection and ethics plan tailored to vulnerable populations, emphasizing informed participation, controlled data access, and responsible system adaptation. Preliminary results indicate that socially guided robot-based training is feasible and acceptable within the proposed framework. A central ongoing challenge is to identify meaningful robot-user interaction events in the relation to their contexts (situations) and to map them to suitable user and robot actions. The longer-term significance of this work lies in connecting clinical and social needs with computational interaction design, making robot-led training more personalized, transparent, and operationally safe for adults with developmental deficits.

Language:English
Keywords:assistive technology, cognitive training, social robotics, artificial social intelligence, wizard of oz approach
Typology:1.08 - Published Scientific Conference Contribution
Organization:FE - Faculty of Electrical Engineering
FF - Faculty of Arts
Publication status:Published
Publication version:Version of Record
Year:2026
Number of pages:Str. 483-491
PID:20.500.12556/RUL-186417 This link opens in a new window
UDC:004.896:159.9
ISSN on article:2771-0718
DOI:10.54941/ahfe1008123 This link opens in a new window
COBISS.SI-ID:289573123 This link opens in a new window
Publication date in RUL:01.09.2026
Views:120
Downloads:23
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Record is a part of a proceedings

Title:Human Interaction and Emerging Technologies (IHIET 2026)
COBISS.SI-ID:289550339 This link opens in a new window

Record is a part of a journal

Title:AHFE international
Publisher:AHFE International
ISSN:2771-0718
COBISS.SI-ID:117224963 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:podporne tehnologije, kognitivni trening, socialna robotika, umetna socialna inteligenca, pristop Čarovnik iz Oza

Projects

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P2-0246
Name:ICT4QoL - Informacijsko komunikacijske tehnologije za kakovostno življenje

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