CJ
C.P.E. Jansen
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3 records found
1
A change of view
Usable interface design propositions for geoportals
Nowadays, lots of geo-information (GI) is openly available. The value of this information lies in its use. Geoportals play an important part in allowing users to discover and access suitable data for their use cases. However, the user-friendliness of these geoportals is not as it should be. As the communicational layer between a system and its users, a more user-friendly UI can result in a more user-friendly geoportal. In an explorative research methodology involving a literature study into UIs and geoportals, assessing existing geoportals, and a user requirements session, I developed a guideline for user-friendly geoportal UIs: the Geoportal User-Interface Design Evaluator (GUIDE). The elements captured in the GUIDE cover the different parts of the UI: the content presentation, the interaction with available services (system interaction, navigation, search mechanisms, access mechanisms, and communication mechanisms) and the enabling information (metadata and help mechanisms). Concrete implementation examples of these design elements are provided by implementing a mock-up in accordance to the GUIDE. To assess whether or not the elements of the GUIDE result in an increase in user-friendliness, the results of a benchmark usability session are compared to the results achieved during a follow-up usability session with the mock-up. The tasks participants perform during these sessions are all related to the most important reasons why users would visit a geoportal: discovering data, assessing whether the discovered data is suitable for a specific use case, and accessing the data. The comparison of the results of the two usability studies suggests that the elements listed in the GUIDE as implemented in the mock-up indeed result in a more user-friendly geoportal UI. In the adopted usability metric that covered 128 fields related to performance and self-reported metrics, the mock-up outperformed the benchmark in 95 fields. This improvement is confirmed by qualitative comments of the six participants of the usability sessions and by experts of the Dutch geo-platform PDOK. Especially the increase in efficiency is appreciated. Based on the foundation the GUIDE and the corresponding mock-up provide, there is room for more in-depth research to further improve the user-friendliness of the UIs of geoportals. This, for example, involves looking into what communication mechanisms and help mechanisms, icons, terminology, or controls users prefer. Furthermore, additional research into the possibilities of adaptive UIs for geoportals can be valuable to suit possible differences in the needs and preferences of the different individual users.
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Nowadays, lots of geo-information (GI) is openly available. The value of this information lies in its use. Geoportals play an important part in allowing users to discover and access suitable data for their use cases. However, the user-friendliness of these geoportals is not as it should be. As the communicational layer between a system and its users, a more user-friendly UI can result in a more user-friendly geoportal. In an explorative research methodology involving a literature study into UIs and geoportals, assessing existing geoportals, and a user requirements session, I developed a guideline for user-friendly geoportal UIs: the Geoportal User-Interface Design Evaluator (GUIDE). The elements captured in the GUIDE cover the different parts of the UI: the content presentation, the interaction with available services (system interaction, navigation, search mechanisms, access mechanisms, and communication mechanisms) and the enabling information (metadata and help mechanisms). Concrete implementation examples of these design elements are provided by implementing a mock-up in accordance to the GUIDE. To assess whether or not the elements of the GUIDE result in an increase in user-friendliness, the results of a benchmark usability session are compared to the results achieved during a follow-up usability session with the mock-up. The tasks participants perform during these sessions are all related to the most important reasons why users would visit a geoportal: discovering data, assessing whether the discovered data is suitable for a specific use case, and accessing the data. The comparison of the results of the two usability studies suggests that the elements listed in the GUIDE as implemented in the mock-up indeed result in a more user-friendly geoportal UI. In the adopted usability metric that covered 128 fields related to performance and self-reported metrics, the mock-up outperformed the benchmark in 95 fields. This improvement is confirmed by qualitative comments of the six participants of the usability sessions and by experts of the Dutch geo-platform PDOK. Especially the increase in efficiency is appreciated. Based on the foundation the GUIDE and the corresponding mock-up provide, there is room for more in-depth research to further improve the user-friendliness of the UIs of geoportals. This, for example, involves looking into what communication mechanisms and help mechanisms, icons, terminology, or controls users prefer. Furthermore, additional research into the possibilities of adaptive UIs for geoportals can be valuable to suit possible differences in the needs and preferences of the different individual users.
Indoor localisation based on point clouds of the ceiling
Syntheses Project 2019
Student report
(2019)
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CHRISTINA FRATZESKOU, Chirag Garg, Karin Staring, Mutian Deng, Celine Jansen, Edward Verbree, Martijn Meijers, Edward Verbree, B.M. Meijers
Indoor localisation is a highly relevant topic. It can be used for many applications,
such as indoor navigation. Current indoor localisation approaches all have certain
downsides. In this report, the results of a completely new indoor localisation approach are described. The aim of this approach is to perform indoor localisation on room level based on a fingerprint solution using point clouds of the ceilings. The ceiling is used, because the ceiling does generally not change much and therefore it is easier to keep an up-to-date database. This research considers both the use of Dense Image Matching (DIM) input from pictures or videos made with a mobile phone and Light Detection And Ranging (LiDAR) input. ...
such as indoor navigation. Current indoor localisation approaches all have certain
downsides. In this report, the results of a completely new indoor localisation approach are described. The aim of this approach is to perform indoor localisation on room level based on a fingerprint solution using point clouds of the ceilings. The ceiling is used, because the ceiling does generally not change much and therefore it is easier to keep an up-to-date database. This research considers both the use of Dense Image Matching (DIM) input from pictures or videos made with a mobile phone and Light Detection And Ranging (LiDAR) input. ...
Indoor localisation is a highly relevant topic. It can be used for many applications,
such as indoor navigation. Current indoor localisation approaches all have certain
downsides. In this report, the results of a completely new indoor localisation approach are described. The aim of this approach is to perform indoor localisation on room level based on a fingerprint solution using point clouds of the ceilings. The ceiling is used, because the ceiling does generally not change much and therefore it is easier to keep an up-to-date database. This research considers both the use of Dense Image Matching (DIM) input from pictures or videos made with a mobile phone and Light Detection And Ranging (LiDAR) input.
such as indoor navigation. Current indoor localisation approaches all have certain
downsides. In this report, the results of a completely new indoor localisation approach are described. The aim of this approach is to perform indoor localisation on room level based on a fingerprint solution using point clouds of the ceilings. The ceiling is used, because the ceiling does generally not change much and therefore it is easier to keep an up-to-date database. This research considers both the use of Dense Image Matching (DIM) input from pictures or videos made with a mobile phone and Light Detection And Ranging (LiDAR) input.
Love is a Cueing Game
Cue Kitchen - Game Design Report
Student report
(2019)
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C.P.E. Jansen, J. Hermias, S.G. Kulkarni, H.N. aan het Rot, D.G.M. de Planque, G. Bekebrede, M. Freese, M. Kooreman