Toyota Research Institute, Inc.

Fuji Xerox Co., Ltd.

Fujifilm Business Innovation Corp.

Matthew L Lee

Charlene C Wu

Scott Carter

Nikos Arechiga

Shabnam Hakimi

Daniel Avrahami

Rumen Iliev

Yue Weng

Yanxia Zhang

Kent Lyons

Britta Meixner

Christopher Michael Jones

Patrick Chiu

Lynn D Wilcox

David Ayman Shamma

Lyndon Kennedy

Rainer Wolfgang Lienhart

Jacob Biehl

Chelhwon Kim

Hideto Oda

Nikos Arechiga Gonzalez

Jennifer Marlow

Miteshkumar Patel

Kandha Sankarapandian

Ameet B Agnihotri

Alexandre Filipowicz

Moritz Werner Amadeus Einfalt

Heather Ashley Faucett

Scott Cambo

Sumeet Jain

Charles Wilton Seckar

Edward Harrigan

Nestor Javier Rodriguez

Darren George Gascook

Systems and methods for selecting a channel of communication based on a type of thinking employed by a user for a task are disclosed. The systems and methods include determining that a user is employing System 1 type thinking or System 2 type thinking for the task based on one or more properties of the task, one or more properties of the user, and a state of the user based on physiological response data from one or more physiological sensors monitoring the user, and implementing a channel of communication to utilize for the task that corresponds to a determined type of thinking the user is employing for the task.

Systems and methods for selectively communicating to a user via a system 1 or system 2 channel

A method for statistical data clarification is described. The method includes determining a relevance of statistical data according to a textual context of a statistical data detected within a document viewed by a user. The method also includes establishing a frame of reference for the statistical data according to the textual context and a determined relevance of the statistical data detected within the document viewed by the user. The method further includes generating, according to the frame of reference, at least one analogy that corresponds to the statistical data. The method also includes displaying the at least one analogy to the user to assist the user in understanding and using the statistical data.

System and method for improving understanding and decision making regarding statistical data

Systems and methods described herein are directed to implementations that facilitate individuals to collect, store, and automatically extract procedural knowledge from their messaging interactions with collaborative groups. Example implementations involve chat interfaces to communicate and add the capability to tag text and media to organize content. Example implementations also add a new thread-like structure to the previously only linear time-line of a chat. Knowledge from the chat can then be extracted automatically into a high-quality multimedia document.

Systems and methods for chat message management and document generation on devices

A system includes a processor configured to build a model of human behavior that can be assigned to a simulated human, where the model is trained on a dataset of interactions between humans, and parameters of the model can be adjusted. The processor is further configured to build a model of a task to be engaged in by a plurality of simulated humans, simulate interactions between the plurality of simulated humans, and display behavior of the simulated humans and information about the interactions between the simulated humans during simulated interactions.

Systems and methods for investigating interactions between simulated humans

Systems and methods for content framing monitoring and intervention are disclosed. In one example, a method includes receiving, at a computing device, first text conveying first information, performing natural language processing of the first text, determining a first framing of the first information based on the natural language processing of the first text, determining second text conveying the first information with a second framing, different from the first framing, and outputting the second text on an electronic display.

Systems and methods for content framing monitoring and intervention

A method to generate a digital avatar simulating a human for behavioral empathy and understanding is described. The method includes training a neural network to generate the digital avatar to simulate the human according to a vector of human attributes and generate responses in response to interactions with a user based on the vector of human attributes. The method also includes interacting, by the user, with the digital avatar, in which the digital avatar initially having a similar background and attributes as the user. The method further includes modifying, over time, the attributes of the digital avatar to represent a target background and a target set of attributes different from the user.

System and method of a digital persona for empathy and understanding

A method for search construct validation is described. The method includes determining a construct of a search query recognized on a search engine of a third party webpage and related constructs represented in a plurality of search results generated based on the search query. The method includes mapping the determined construct to the related constructs represented in the plurality of search results generated based on the search query. The method includes generating a knowledge graph illustrating the mapping between the determined construct and the related constructs and a hierarchy and a strength of a conceptual relationship between the determined construct and the related constructs. The method includes displaying, via an interactive user interface, an interactive graph illustrating the mapping between the determined construct and the plurality of related constructs and the hierarchy and the strength of the conceptual relationship between the determined construct and the plurality of related constructs.

System and method for contextualizing and improving understanding of web search results

Systems and methods for determining whether a user employs System 1 type thinking or System 2 type thinking when engaged in a task are disclosed. The systems and methods include determining one or more properties of the task based on information regarding the task received from a database storing information regarding the task, determining one or more properties of the user with respect to the task, determining a state of the user based on one or more physiological sensors configured to sense one or more characteristics of the user, and determining that the user employs System 1 type thinking or System 2 type thinking when engaged in the task based on the determined one or more properties of the task, the determined one or more properties of the user, and the determined state of the user.

Systems and methods for classifying user tasks as being system 1 tasks or system 2 tasks

Systems, methods, and other embodiments described herein relate to informing a user how a hypothetical electric vehicle would perform based on the driving habits of the user in a non-electric vehicle. In one embodiment, a method includes identifying an origin and a destination of a non-electric vehicle after the non-electric vehicle has arrived at the destination. The method includes determining energy information for a hypothetical electric vehicle traveling from the origin to the destination and outputting the energy information to the user.

Electric vehicle simulation

A method for an augmented reality goal assistant is described. The method includes detecting an object associated with a behavioral goal of a user. The method also includes altering an appearance of the object based on the behavioral goal of the user. The method further includes displaying the altered appearance of a detected object on an augmented reality headset, such that the altered appearance of the detected object is modified based on the behavioral goal of the user.

System and method for an augmented reality goal assistant

Example implementations are directed to a method of receiving information associated with an activity, analyzing the information to identify a first pattern and a second pattern, and generating a customized recommendation model for the second pattern based on the first pattern. In response to a detected trigger indicating a transition to the second pattern, the method assesses context factors to verify the transition to the second pattern without interrupting the first pattern. Based on the verification, the method applies the model to provide redirection based on the recommendation.

Systems and methods for context aware redirection based on machine-learning

A system that infers and detects how focused a worker is on work tasks, based on physiological parameters collected using wearable and environmental sensors. The system can identify whether a worker is in a focused state of flow, the affective state in which the worker's mind is fully immersed and actively engaged in their task. The system can also identify whether the worker is anxious (where the task demands/difficulty is too high relative the worker's skills) or bored (where the task is too easy). Once the focus state is detected, the information can be used in various applications for optimizing the worker's tasks and work quality such as monitoring task mastery, interventions to improve worker focus (e.g., recommending breaks, reassigning tasks, clarifying goals), identifying potentially lower quality production lots in a manufacturing environment, measuring the effects of skills training, and personal informatics for improving a worker's own productivity.

Systems and methods for physiological sensing for purposes of detecting persons affective focus state for optimizing productivity and work quality

A computer-implemented method, comprising detecting a first audio output in a first room, and detecting a portion of the first audio output in a second room, determining whether the portion of the first audio output in the second room meets a trigger requirement, and for the determining that the portion meets the trigger requirement, providing an action to reduce the portion of the first audio input in the second room.

System and method for dynamically adjusting settings of audio output devices to reduce noise in adjacent spaces

To prevent the spread of hospital-acquired infections, embodiments described herein monitor mobile device usage in clinical settings (by a physician, nurse, etc.) to characterize potential pathogenic contamination of the mobile device, the user's hands, and the surfaces in contact with the device. Our method considers the physical properties of how the device is handled and held during use, as well as the location and setting before, during, and after use to estimate potential contamination and transmission of pathogens. A system can use the estimation, along with knowledge (e.g., of the user's upcoming schedule) to alert them of potential contamination hazards and suggest when to avoid mobile device use as well as when to sanitize the device and user's hands.

System and method for estimating pathogen transfer from mobile interaction in clinical environments and a warning system and method for reducing cross-contamination risks

Growing community of inventors

Mountain View, CA, United States of America

Matthew L Lee