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Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking

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@article{IJASEIT1473,
   author = {Andreea I. Niculescu and Bimlesh Wadhwa and Evan Quek},
   title = {Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {6},
   number = {6},
   year = {2016},
   pages = {1096--1102},
   keywords = {smart parking; PGI technology; speech interaction; natural language dialogue; interaction design; multimodal interface; interface design; user experience; expert evaluation.},
   abstract = {Smart cities technologies are gradually changing our urban landscape thanks to the proliferation of billions of smart devices permanently connected through the internet. Among technologies with highest impact on citizen’s quality of life are intelligent transportation systems and in particular, smart parking applications. In this paper, we present a study evaluation the design of a smart parking assistant developed in our lab. The system is implemented as mobile app with an integrated GUI adapted for Android tablets. The app extends common park guidance information systems (PGI) offering suggestions based on parking fee or proximity to destination. Two novel features – beyond the state of the art of current available systems – are added: the use of natural language and the ability to react in real-time to changes in parking occupancy. If the number of parking lots drops to critical level, the application redirects the driver to another parking place. Furthermore, the app includes GPS and Google maps interfacing modules which enable the application to detect the driver location and calculate the nearest car park distance. A group of five experts with background in interface design and natural language processing evaluated the prototype using Nielsen’s set of heuristics in a think-loud approach. Results and implications for further interaction design are extensively discussed.},
   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=1473},
   doi = {10.18517/ijaseit.6.6.1473}
}

EndNote

%A Niculescu, Andreea I.
%A Wadhwa, Bimlesh
%A Quek, Evan
%D 2016
%T Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking
%B 2016
%9 smart parking; PGI technology; speech interaction; natural language dialogue; interaction design; multimodal interface; interface design; user experience; expert evaluation.
%! Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking
%K smart parking; PGI technology; speech interaction; natural language dialogue; interaction design; multimodal interface; interface design; user experience; expert evaluation.
%X Smart cities technologies are gradually changing our urban landscape thanks to the proliferation of billions of smart devices permanently connected through the internet. Among technologies with highest impact on citizen’s quality of life are intelligent transportation systems and in particular, smart parking applications. In this paper, we present a study evaluation the design of a smart parking assistant developed in our lab. The system is implemented as mobile app with an integrated GUI adapted for Android tablets. The app extends common park guidance information systems (PGI) offering suggestions based on parking fee or proximity to destination. Two novel features – beyond the state of the art of current available systems – are added: the use of natural language and the ability to react in real-time to changes in parking occupancy. If the number of parking lots drops to critical level, the application redirects the driver to another parking place. Furthermore, the app includes GPS and Google maps interfacing modules which enable the application to detect the driver location and calculate the nearest car park distance. A group of five experts with background in interface design and natural language processing evaluated the prototype using Nielsen’s set of heuristics in a think-loud approach. Results and implications for further interaction design are extensively discussed.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1473
%R doi:10.18517/ijaseit.6.6.1473
%J International Journal on Advanced Science, Engineering and Information Technology
%V 6
%N 6
%@ 2088-5334

IEEE

Andreea I. Niculescu,Bimlesh Wadhwa and Evan Quek,"Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking," International Journal on Advanced Science, Engineering and Information Technology, vol. 6, no. 6, pp. 1096-1102, 2016. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.6.6.1473.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Niculescu, Andreea I.
AU  - Wadhwa, Bimlesh
AU  - Quek, Evan
PY  - 2016
TI  - Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 6 (2016) No. 6
Y2  - 2016
SP  - 1096
EP  - 1102
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - smart parking; PGI technology; speech interaction; natural language dialogue; interaction design; multimodal interface; interface design; user experience; expert evaluation.
N2  - Smart cities technologies are gradually changing our urban landscape thanks to the proliferation of billions of smart devices permanently connected through the internet. Among technologies with highest impact on citizen’s quality of life are intelligent transportation systems and in particular, smart parking applications. In this paper, we present a study evaluation the design of a smart parking assistant developed in our lab. The system is implemented as mobile app with an integrated GUI adapted for Android tablets. The app extends common park guidance information systems (PGI) offering suggestions based on parking fee or proximity to destination. Two novel features – beyond the state of the art of current available systems – are added: the use of natural language and the ability to react in real-time to changes in parking occupancy. If the number of parking lots drops to critical level, the application redirects the driver to another parking place. Furthermore, the app includes GPS and Google maps interfacing modules which enable the application to detect the driver location and calculate the nearest car park distance. A group of five experts with background in interface design and natural language processing evaluated the prototype using Nielsen’s set of heuristics in a think-loud approach. Results and implications for further interaction design are extensively discussed.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1473
DO  - 10.18517/ijaseit.6.6.1473

RefWorks

RT Journal Article
ID 1473
A1 Niculescu, Andreea I.
A1 Wadhwa, Bimlesh
A1 Quek, Evan
T1 Smart City Technologies: Design and Evaluation of An Intelligent Driving Assistant for Smart Parking
JF International Journal on Advanced Science, Engineering and Information Technology
VO 6
IS 6
YR 2016
SP 1096
OP 1102
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 smart parking; PGI technology; speech interaction; natural language dialogue; interaction design; multimodal interface; interface design; user experience; expert evaluation.
AB Smart cities technologies are gradually changing our urban landscape thanks to the proliferation of billions of smart devices permanently connected through the internet. Among technologies with highest impact on citizen’s quality of life are intelligent transportation systems and in particular, smart parking applications. In this paper, we present a study evaluation the design of a smart parking assistant developed in our lab. The system is implemented as mobile app with an integrated GUI adapted for Android tablets. The app extends common park guidance information systems (PGI) offering suggestions based on parking fee or proximity to destination. Two novel features – beyond the state of the art of current available systems – are added: the use of natural language and the ability to react in real-time to changes in parking occupancy. If the number of parking lots drops to critical level, the application redirects the driver to another parking place. Furthermore, the app includes GPS and Google maps interfacing modules which enable the application to detect the driver location and calculate the nearest car park distance. A group of five experts with background in interface design and natural language processing evaluated the prototype using Nielsen’s set of heuristics in a think-loud approach. Results and implications for further interaction design are extensively discussed.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1473
DO  - 10.18517/ijaseit.6.6.1473