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Documents authored by Yang, C.Y. David

Found 2 Possible Name Variants:

Yang, C.Y. David

Document
DOI: 10.4230/DagRep.9.3.111
Users and automated driving systems: How will we interact with tomorrow's vehicles? (Dagstuhl Seminar 19132)

Authors: Susanne Boll, Andrew L. Kun, Andreas Riener, and C.Y. David Yang

Published in: Dagstuhl Reports, Volume 9, Issue 3 (2019)

Abstract
In today's vehicles, the driving task is increasingly often shared between the driver and the vehicle. It is expected that this will become the norm rather than the exception in the foreseeable future: on some road segments the driving task will be automated, and drivers will become passengers. Thus, we need to design automotive user interfaces with partial automation, and even full automation, in mind. This was the underlying motivation to propose and run this seminar. In the Dagstuhl seminar, six inter-related key research questions were addressed: First, "how to design user interfaces to support the driver's transition back from the role of passenger to the role of driver?". Second, "how user interfaces can support work and play for drivers while the vehicle is controlled by automation?" and third "how we can support communication between all transportation users, from drivers, to pedestrians, to bicyclists?". Furthermore, we explored "how the design of automotive user interfaces affects trust in automation?" and finally discussed "how novel technologies, such as augmented reality displays or advanced spoken dialogue systems can support drivers, and others, in and around partially-, and fully-automated vehicles?". As an umbrella topic, the question "how all of these questions relate to the legal aspects of deploying automotive user interfaces?" received also high attention and lively discussions amongst participants. Dagstuhl seminar 19132 is a follow-up of the 2016 Dagstuhl seminar 16262 "Automotive User Interfaces in the Age of Automation" and brought (again) together researchers from HCI, psychology, cognitive science, human factors, automotive industry/OEMs and people active in the standardization process to discuss critical problems on the way to automated driving.
Cite as

Susanne Boll, Andrew L. Kun, Andreas Riener, and C.Y. David Yang. Users and automated driving systems: How will we interact with tomorrow's vehicles? (Dagstuhl Seminar 19132). In Dagstuhl Reports, Volume 9, Issue 3, pp. 111-178, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{boll_et_al:DagRep.9.3.111,
  author =	{Boll, Susanne and Kun, Andrew L. and Riener, Andreas and Yang, C.Y. David},
  title =	{{Users and automated driving systems: How will we interact with tomorrow's vehicles? (Dagstuhl Seminar 19132)}},
  pages =	{111--178},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{9},
  number =	{3},
  editor =	{Boll, Susanne and Kun, Andrew L. and Riener, Andreas and Yang, C.Y. David},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.9.3.111},
  URN =		{urn:nbn:de:0030-drops-112944},
  doi =		{10.4230/DagRep.9.3.111},
  annote =	{Keywords: Automotive UIs; Driver-vehicle interaction services; UX in driving; Customization of vehicles/UIs; (Over)trust; Ethical issues}
}

Yang, Jing-Cen

Document
Short Paper
DOI: 10.4230/LIPIcs.GISCIENCE.2018.31
Facilitating the Interoperable Use of Cross-Domain Statistical Data Based on Standardized Identifiers (Short Paper)

Authors: Jung-Hong Hong and Jing-Cen Yang

Published in: LIPIcs, Volume 114, 10th International Conference on Geographic Information Science (GIScience 2018)

Abstract
In the big data era, the successful sharing and integration of data from various resources becomes an essential requirement. As statistical data serves as the foundation for professional domains to report the phenomena in the reality according to the selected administration units, its importance has been well recognized. However, statistical data is typically collected and published by different responsible agencies, hence the heterogeneity of how the data is designed, prepared and disseminated becomes an obstacle impeding the automatic and interoperable use in multidisciplinary applications. From a standardization perspective, this research proposes an identifier-based framework for modeling the spatial, temporal and thematic aspects of cross-domain statistical data, such that any piece of distributed statistical information can be correctly and automatically interpreted without any ambiguity for further analysis and exploration. The results indicate the proposed mechanism successfully enables a comprehensive management of indicators from different resources and enhances the easier data retrieval and correct use across different domains. Meanwhile, the interface design exemplifies an innovated improvement on the presentation and interpretation of statistical information. The proposed solution can be readily implemented for building a transparent sharing environment for the National Spatial Data Infrastructure (NSDI).
Cite as

Jung-Hong Hong and Jing-Cen Yang. Facilitating the Interoperable Use of Cross-Domain Statistical Data Based on Standardized Identifiers (Short Paper). In 10th International Conference on Geographic Information Science (GIScience 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 114, pp. 31:1-31:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{hong_et_al:LIPIcs.GISCIENCE.2018.31,
  author =	{Hong, Jung-Hong and Yang, Jing-Cen},
  title =	{{Facilitating the Interoperable Use of Cross-Domain Statistical Data Based on Standardized Identifiers}},
  booktitle =	{10th International Conference on Geographic Information Science (GIScience 2018)},
  pages =	{31:1--31:7},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-083-5},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{114},
  editor =	{Winter, Stephan and Griffin, Amy and Sester, Monika},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.GISCIENCE.2018.31},
  URN =		{urn:nbn:de:0030-drops-93595},
  doi =		{10.4230/LIPIcs.GISCIENCE.2018.31},
  annote =	{Keywords: Cross-Domain, Statistical Data, Standardized Codes, Visualization}
}
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