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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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https://openaccess.cms-conferences.org/publications/book/979-8-950676-12-3/article/979-8-950676-12-3_47
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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
UDC:
004.896:159.9
ISSN on article:
2771-0718
DOI:
10.54941/ahfe1008123
COBISS.SI-ID:
289573123
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
Record is a part of a journal
Title:
AHFE international
Publisher:
AHFE International
ISSN:
2771-0718
COBISS.SI-ID:
117224963
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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