Cite Article

Reading with Robots: A Personalized Robot-Based Learning Companion for Solving Cognitively Demanding Tasks

Choose citation format

BibTeX

@article{IJASEIT7077,
   author = {Azizi Ab Aziz and Hayder M.A. Ghanimi},
   title = {Reading with Robots: A Personalized Robot-Based Learning Companion for Solving Cognitively Demanding Tasks},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {10},
   number = {4},
   year = {2020},
   pages = {1489--1496},
   keywords = {companion robot; cognitive load modelling; personalized user system; personalized reading companion.},
   abstract = {

Soon, sociable companion robots will become indispensable for providing related support in our daily living and tasks. This paper provides process, design perspectives, and deployment of a reading companion robot (IQRA’) that monitors the cognitive load level of a reader during demanding reading tasks and to provide support for readers to complete tasks. Current technological solutions only cover external design aspects of the application and have no adaptive mechanisms to deal with dynamics with the reader’s perspectives and environment. Inspired by several theories from cognitive psychology domains, a computational model of the cognitive load was developed as a basis for reasoning and analytical purposes. This analytical ability provides the robot with a computational mechanism to reason in human-like manners and analyses of the functioning of observed conditions. This is essential in providing better-informed actions and intelligent analysis. Besides, the physical and software design of the robot and essential concepts in human-robot interaction are covered. Also, five evaluation constructs were chosen to evaluate the capability of our robot-based platform. These constructs are; 1) likeability, 2) perceived intelligence, 3) sociability, 4) social presence, and 5) cognitive load. The overall results from the pilot study support the practical usage of our proposed robotic solution.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7077},    doi = {10.18517/ijaseit.10.4.7077} }

EndNote

%A Ab Aziz, Azizi
%A Ghanimi, Hayder M.A.
%D 2020
%T Reading with Robots: A Personalized Robot-Based Learning Companion for Solving Cognitively Demanding Tasks
%B 2020
%9 companion robot; cognitive load modelling; personalized user system; personalized reading companion.
%! Reading with Robots: A Personalized Robot-Based Learning Companion for Solving Cognitively Demanding Tasks
%K companion robot; cognitive load modelling; personalized user system; personalized reading companion.
%X 

Soon, sociable companion robots will become indispensable for providing related support in our daily living and tasks. This paper provides process, design perspectives, and deployment of a reading companion robot (IQRA’) that monitors the cognitive load level of a reader during demanding reading tasks and to provide support for readers to complete tasks. Current technological solutions only cover external design aspects of the application and have no adaptive mechanisms to deal with dynamics with the reader’s perspectives and environment. Inspired by several theories from cognitive psychology domains, a computational model of the cognitive load was developed as a basis for reasoning and analytical purposes. This analytical ability provides the robot with a computational mechanism to reason in human-like manners and analyses of the functioning of observed conditions. This is essential in providing better-informed actions and intelligent analysis. Besides, the physical and software design of the robot and essential concepts in human-robot interaction are covered. Also, five evaluation constructs were chosen to evaluate the capability of our robot-based platform. These constructs are; 1) likeability, 2) perceived intelligence, 3) sociability, 4) social presence, and 5) cognitive load. The overall results from the pilot study support the practical usage of our proposed robotic solution.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7077 %R doi:10.18517/ijaseit.10.4.7077 %J International Journal on Advanced Science, Engineering and Information Technology %V 10 %N 4 %@ 2088-5334

IEEE

Azizi Ab Aziz and Hayder M.A. Ghanimi,"Reading with Robots: A Personalized Robot-Based Learning Companion for Solving Cognitively Demanding Tasks," International Journal on Advanced Science, Engineering and Information Technology, vol. 10, no. 4, pp. 1489-1496, 2020. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.10.4.7077.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Ab Aziz, Azizi
AU  - Ghanimi, Hayder M.A.
PY  - 2020
TI  - Reading with Robots: A Personalized Robot-Based Learning Companion for Solving Cognitively Demanding Tasks
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 10 (2020) No. 4
Y2  - 2020
SP  - 1489
EP  - 1496
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - companion robot; cognitive load modelling; personalized user system; personalized reading companion.
N2  - 

Soon, sociable companion robots will become indispensable for providing related support in our daily living and tasks. This paper provides process, design perspectives, and deployment of a reading companion robot (IQRA’) that monitors the cognitive load level of a reader during demanding reading tasks and to provide support for readers to complete tasks. Current technological solutions only cover external design aspects of the application and have no adaptive mechanisms to deal with dynamics with the reader’s perspectives and environment. Inspired by several theories from cognitive psychology domains, a computational model of the cognitive load was developed as a basis for reasoning and analytical purposes. This analytical ability provides the robot with a computational mechanism to reason in human-like manners and analyses of the functioning of observed conditions. This is essential in providing better-informed actions and intelligent analysis. Besides, the physical and software design of the robot and essential concepts in human-robot interaction are covered. Also, five evaluation constructs were chosen to evaluate the capability of our robot-based platform. These constructs are; 1) likeability, 2) perceived intelligence, 3) sociability, 4) social presence, and 5) cognitive load. The overall results from the pilot study support the practical usage of our proposed robotic solution.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7077 DO - 10.18517/ijaseit.10.4.7077

RefWorks

RT Journal Article
ID 7077
A1 Ab Aziz, Azizi
A1 Ghanimi, Hayder M.A.
T1 Reading with Robots: A Personalized Robot-Based Learning Companion for Solving Cognitively Demanding Tasks
JF International Journal on Advanced Science, Engineering and Information Technology
VO 10
IS 4
YR 2020
SP 1489
OP 1496
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 companion robot; cognitive load modelling; personalized user system; personalized reading companion.
AB 

Soon, sociable companion robots will become indispensable for providing related support in our daily living and tasks. This paper provides process, design perspectives, and deployment of a reading companion robot (IQRA’) that monitors the cognitive load level of a reader during demanding reading tasks and to provide support for readers to complete tasks. Current technological solutions only cover external design aspects of the application and have no adaptive mechanisms to deal with dynamics with the reader’s perspectives and environment. Inspired by several theories from cognitive psychology domains, a computational model of the cognitive load was developed as a basis for reasoning and analytical purposes. This analytical ability provides the robot with a computational mechanism to reason in human-like manners and analyses of the functioning of observed conditions. This is essential in providing better-informed actions and intelligent analysis. Besides, the physical and software design of the robot and essential concepts in human-robot interaction are covered. Also, five evaluation constructs were chosen to evaluate the capability of our robot-based platform. These constructs are; 1) likeability, 2) perceived intelligence, 3) sociability, 4) social presence, and 5) cognitive load. The overall results from the pilot study support the practical usage of our proposed robotic solution.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=7077 DO - 10.18517/ijaseit.10.4.7077