Having a well-developed Graphical User Interface (GUI) is often necessary for a human-robot team, especially when the human and the robot are not in close proximity to each other or when the human does not interact with the robot in real time. Most current GUIs process and display information in real time, but the time to interact with these systems does not scale well when the complexity of the displayed information increases or when information must be fused to support decision-making. We propose a new interface concept, a Graphical Narrative Interface (GNI), which presents story-based summaries driven by accumulated data. This thesis (a) uses literature and preliminary GNI designs to identify a set of design requirements for easily managing spatiotemporal information, (b) presents a set of algorithms designed to satisfy these requirements, (c) evaluates the utility and limitations of these algorithms, (d) describes a prototype GNI that combines these algorithms with a graphical interface, and (e) compares the GNI and a GUI through a user study and evaluates the efficiency of the GNI.
| Identifer | oai:union.ndltd.org:BGMYU2/oai:scholarsarchive.byu.edu:etd-7053 |
| Date | 01 May 2016 |
| Creators | Nakano, Hiroaki |
| Publisher | BYU ScholarsArchive |
| Source Sets | Brigham Young University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | All Theses and Dissertations |
| Rights | http://lib.byu.edu/about/copyright/ |
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