Autodesk, Inc.

Facebook Technologies, LLC

Meta Platforms Technologies, LLC

Michael Glueck

Azam Khan

Tovi Samuel Grossman

Justin Frank Matejka

George William Fitzmaurice

Igor Mordatch

James Kenneth McCrae

Michael Lee

Hrvoje Benko

Daniel John Wigdor

Sean Edwin Trowbridge

Aakar Gupta

Tanya Renee Jonker

Jian Zhao

Stephanie Santosa

Marcello Giordano

Rorik Henrikson

Carolina Brum Medeiros

Sean Anderson

Daniel Clarke

Gord Kurtenbach

Ramtin Attar

Erin Marie Bradner

Alexander Tessier

Ali Baradaran Hashemi

Simon Breslav

Ebenezer Hailemariam

Embodiments include a method for navigating an electronic document. The method includes displaying a navigation pane that includes a group of logical document elements associated with the electronic document. The method also includes detecting a first user input. The method further includes determining that the first user input is configured to select a first logical document element included in the group of logical document elements. The method also includes selecting the first logical document element based on the first user input. The method further includes navigating to a portion of the document associated with the first logical document element. Embodiments also include a system and a computer-readable medium for navigating an electronic document.

Logical structure-based document navigation

In various embodiments, a ranking application automatically ranks designs included in a design space based on user preference(s). The ranking application determines that a first design included in the design space is a first positive example of user preference(s). The ranking application then computes a score associated with a second design that is also included in the design space based on a first attribute value and a second attribute value. The first attribute value is associated with both the first design and an attribute and the second value is associated with both the second design and the attribute. Subsequently, the ranking application orders the designs based on the first score and a second score associated with the second design to generate a ranked list of designs. The ranking application then displays the ranked list of designs via a graphical user interface to facilitate exploration of the design space.

Example-based ranking techniques for exploring design spaces

In various embodiments, a visualization engine generates graphs that facilitate sense making operations on data sets. A graph includes nodes that are associated with a data set and edges that represent relationships between the nodes. In operation, the visualization engine computes pairwise similarities between the nodes. Subsequently, the visualization engine computes a layout for the graph based on the pairwise similarities and user-specified constraints. Finally, the visualization engine renders a graph for display based on the layout, the nodes, and the edges. Advantageously, by interactively specifying constraints and then inspecting the topology of the automatically generated graph, the user may efficiently explore salient aspects of the data set.

Techniques for mixed-initiative visualization of data

An electronic device tracks, for a user performing a target acquisition movement within a 3D space, movement parameters of a plurality of input devices of the user. The electronic device predicts, for the user, a region of interest within the 3D space, based on the movement parameters. The region of interest includes a plurality of targets in close proximity. The electronic device predicts an endpoint of the target acquisition movement, within the region of interest. In some embodiments, the plurality of input devices includes an eye tracking input device, each input device corresponds to a predefined input device type, and the movement parameters include gaze data from the eye tracking input device. In some embodiments, input devices includes an eye tracking input device, a head-mounted display, and a hand-held controller, and the user's eye, hand, and head movements are coordinated.

Multimodal kinematic template matching and regression modeling for ray pointing prediction in virtual reality

A design application is configured to visualize and explore large-scale generative design datasets. The design explorer includes a graphical user interface (GUI) engine that generates a design explorer, a composite explorer, and a tradeoff explorer. The design explorer displays a visualization of a multitude of design options included in a design space. The design explorer allows a user to filter the design space based on input parameters that influence a generative design process as well as various design characteristics associated with the different design options. The composite explorer displays a fully interactive composite of multiple different design options. The composite explorer exposes various tools that allow the user to filter the design space via interactions with the composite. The tradeoff explorer displays a tradeoff space based on different rankings of design options. The different rankings potentially correspond to competing design characteristics specified by different designers.

Techniques for visualizing and exploring large-scale generative design datasets

An electronic device tracks, for a user performing a target acquisition movement within a 3D space, movement parameters of a plurality of input devices of the user. The electronic device predicts, for the user, a region of interest within the 3D space, using a regression model, based on the movement parameters. The region of interest includes a plurality of targets in close proximity. The electronic device predicts an endpoint of the target acquisition movement, within the region of interest, using a pointer facilitation technique. In some embodiments, the plurality of input devices includes an eye tracking input device, each input device corresponds to a predefined input device type, and the movement parameters include gaze data from the eye tracking input device. In some embodiments, input devices includes an eye tracking input device, a head-mounted display, and a hand-held controller, and the user's eye, hand, and head movements are coordinated.

In one embodiment, a banded slider application obtains values from users via a banded slider. In operation, the banded slider application generates a banded slider that includes multiple sections. Notably, the interior of a section included in the banded slider is visually distinguishable from an interior of another section that is adjacent to the section. Subsequently, the banded slider application performs operation(s) to display the banded slider and, in response, receives a user selection of a location along the banded slider. The banded slider application then computes a specified value based on the location. Advantageously, empirical evidence shows that the banded slider enables precise and/or repeatable specification of values without inducing bias associated with an inherent propensity for users to select locations that are at or near the decorations (e.g., tick marks) along conventional sliders.

Banded sliders for obtaining values from users

A multiscale data engine is configured to generate a three-dimensional (3D) environment based on a multiscale 3D dataset. The multiscale data engine is also configured to generate a spatial hierarchy within the 3D environment by selectively grouping 3D objects within the 3D environment. The multiscale data engine is further configured to identify specific 3D objects within the 3D environment in response to input received from an end-user and based on spatial properties associated with the 3D objects. The multiscale data engine is also configured to generate various navigation graphical user interfaces (GUIs) that allow the end-user to navigate the 3D environment.

Multiscale three-dimensional orientation

A network analysis engine is configured to generate a network timeline that represents time-varying connectivity between nodes of the network over a time interval. The network timeline includes a sequence of network snapshots that illustrate links between nodes at specific, sequential sub-intervals of time. The network analysis engine is configured to organize the network timeline in order to reveal certain characteristics of the nodes in the network and the network as a whole. Based on these characteristics, the network can be optimized to improve overall network operation.

Node-centric analysis of dynamic networks

One embodiment of the invention sets forth a data navigation engine that generates user interface navigation elements for navigation large and expanding datasets. The user interface navigation elements may include a pivot control zoom slider for adjusting the data resolution with respect to different zoom pivot locations, an interactive ruler for consistent visual feedback and navigation of intervals of data within the dataset, a context bar for viewing the data proximate to a current view, and a multi-scale slider for repositioning the dataset within the current view. These user interface navigation elements provide the end-user with consistent control and visual feedback while navigating the dataset, independent of the size of the dataset or the portion of the dataset displayed within the current view. Therefore, large and expanding datasets can be navigated more effectively relative to prior art approaches.

User interface navigation elements for navigating datasets

A computer-implemented method for manipulating graphics objects within a display viewed by an end-user is disclosed. The method involves: receiving motion information generated in response to the end-user moving an object that is external to the display; determining at least one zone of motion in which the end-user moves the object; determining a first motion type associated with the movement of the object within the at least one zone of motion; and based on the at least one zone of motion and the first motion type, determining at least one change to a viewpoint associated with one or more graphics objects displayed to the end-user within the display. The at least one change to the viewpoint causes an alteration in how the one or more graphics objects are displayed to the end-user within the display.

Physical object for intuitive navigation in a three-dimensional space

A system and method for displaying a unified representation of performance related data for a building are disclosed. The system includes a sensor network for collecting data in the building and a computing device for generating and displaying a unified representation of performance related data on a display. The performance related data may include the raw data collected by the sensor network or data generated by simulation programs based on the raw data collected by the sensor network. The computing device displays the performance related data in the context of a graphical representation of a three-dimensional model of the building as defined in a building information model (BIM). The computing device generates the graphical representation using an ambient occlusion rendering technique and then incorporates the performance related data either using a direct rendering technique or a transient geometry technique.

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Toronto, Canada

Michael Glueck