International Business Machines Corporation

24/7 Customer, Inc.

Bloomreach Inc.

Honeywell International Inc.

[24]7.ai, Inc.

Mohit Jain

Pallipuram V Kannan

Pratyush Kumar

Ashutosh Garg

Vinodh Kumar Ravindranath

Anand Raghuraman

Gaurav Bhati

Christina Augustine

Ashok Pon Kumar Sree Prakash

Kuntal Dey

Ravi Vijayaraghavan

Valerie Monk Bennett

Sampath Dechu

Willie L Scott, Ii

Ramachandra Kota

Charu Pandhi

Anup Agarwal

George L Fridrich

Megha Nawhal

Sushain Pandit

Sameep Mehta

Amith Singhee

Smitkumar Narotambhai Marvaniya

Vijay Arya

Jagabondhu Hazra

Amit Aggarwal

Manish Kesarwani

Amrita Saha

Salil Joshi

Sambaran Bandyopadhyay

Balakrishna G Gudi

Zainul Mohammed Charbiwala

Navin Agarwal

Ethan Kary Merrill

Raman Subramaniam

Reagan Miller

Rajendu Mitra

Rama C Kota

Omar Eduardo Fernández

Karthick Dasu Rajan

Channabasappa Gunari

Rana Bhattacharya

Balaji Sundaravadivelu

Saicharan Duppati

Ponnusamy Sam Albert

Vijayalakshmi Amudhan

Joseph Robert Cyrus, Jr

Dennis E Myers

Wesley Richards

Anshul Bhavesh Shah

Dean Daskalantonakis

Gyanendra Sharma

Hima P Karanan

One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: providing, on a display device, a communications window, wherein the communications window comprises a request for user input to start a conversation with an online assistant; receiving a user input identifying a request by the user to be completed by the online assistant; updating, based upon the request, the communications window, wherein the updated communications window comprises a summary of the conversation including prepopulated variable terms and allows user interaction to adjust the summary including adjustment of the prepopulated variable terms; and iteratively updating the communications windows based upon user input adjusting the summary. Other aspects are described and claimed.

Adaptive communications display window

Provided are a computer program product, system, and method for generating constraints based on reported crop arrivals to marketplaces and remote sensed data to estimate farm yields of farm fields. A total arrival quantity constraint for a marketplace is generated comprising a function of a reported arrival of crops at a marketplace and an estimated arrival to the marketplace comprising a sum of farm yields for the farm fields, wherein the farm yields comprise variables to optimize. Sensed data of the farm fields is used to determine relationships of the farm yields for the farm fields. Comparative farm yield constraints are generated comprising relationships of the farm yields for different pairs of farms. A constraint optimization problem is solved based on the total arrival quantity constraint and comparative farm yield constraints to calculate the farm yields of the farm fields.

Generating constraints based on reported crop arrivals to marketplaces and remote sensed data to estimate farm yields of farm fields

A context sensitive slider content area provides a slide out mechanism that is automatically actuated when additional information is needed during a chat session between an agent and a visitor, e.g. where a pre-chat and/or exit form is to be completed. The context sensitive slide out content area also provides problem resolution information to the visitor to help in solving problems, e.g. the top five problems; and also provides a self-service step-by-step wizard. A history section is provided with which the visitor can track back all previous steps carried out within the smart client. A history bar provides an iconic representation of all previous activities. A technique is also disclosed for executing various actions, such as form filling or requests for additional services, in a chat session.

Slider and history field for smart chat sessions

Methods, systems, and computer program products for exercise monitoring and coaching using audio devices are provided herein. A computer-implemented method includes processing a first set of one or more auditory prompts, wherein the first set of auditory prompts pertains to initiation of at least one activity with respect to a user; detecting, in connection with the first set of auditory prompts, one or more sets of movements being performed by the user, wherein said detecting comprises (i) emitting one or more acoustic waves towards the user and (ii) processing reflection of the one or more acoustic waves from the user; classifying, based on said detecting, the one or more sets of movements as one or more predefined exercises; and generating and outputting a second set of auditory prompts to the user, wherein the second set of auditory prompts pertains to the predefined exercises being performed by the user.

Exercise monitoring and coaching using audio devices

One embodiment provides a method, including: detecting, on a social media application, a media object comprising at least one image of a final product made from at least one purchased raw product; extracting, from the media object and text corresponding to the social media application post, (i) information related to the final product and (ii) social feedback regarding the final product; determining, based upon the social feedback, that the use of the at least one purchased raw product into the final product comprises positive social feedback; and providing a recommendation regarding the use of the at least one purchased raw product to one or more other individuals, wherein the recommendation is generated using the information related to the final product.

Product usage identification and recommendation provision

Aspects of the present disclosure concern cognitive interview management. Audio data from an interviewer in an interview is received. The audio data is processed by converting the audio data into structured text. The structured text is then analyzed to identify questions in the structured text. The structured text data is also analyzed to determine at least one tonal dimension, at least one class dimension, and at least one difficulty dimension of the structured text. A feature vector is then generated having the determined dimensions. A reference feature vector is received having at least one reference tonal dimension, at least one reference class dimension, and at least one reference difficulty dimension. The generated feature vector and reference feature vector are then compared. A determination is made whether the comparison satisfies a match threshold, and in response to the comparison satisfying the match threshold, the interviewer is selected for a panel.

Feature vector profile generation for interviews

An approach is provided in which the approach the approach deconstructs a user interface into user interface elements that each are assigned an importance score. The approach compares a user eye gaze pattern of a user viewing the user interface against an expected eye gaze pattern corresponding to the user interface, and determines that the user requires assistance navigating the user interface. The approach selects one of the user interface elements based on its importance score, generates an augmented reality overlay of the selected user interface element, and displays the augmented reality overlay on the user interface using an augmented reality device.

Visual hierarchy design governed user interface modification via augmented reality

Methods, systems and computer program products for speech and gesture interaction of multiple users with devices using voice activated interfaces are provided herein. A computer-implemented method includes transmitting a pilot signal from a device comprising a voice activated interface, the pilot signal having a frequency, detecting motion of at least one user around the device, associating the detected motion with a gesture, and performing a function in response to the gesture. Detecting the motion includes receiving a reflected signal of the pilot signal caused by the motion of the at least one user, and detecting a shift in the reflected signal from the pilot signal, wherein detecting the shift comprises determining one or more differences between a waveform corresponding to the pilot signal and a waveform corresponding to the reflected signal.

Multiple user interaction with audio devices using speech and gestures

One embodiment provides a method, including: obtaining, at an information handling device, an image of a person; determining physical characteristics of the person by analyzing the image; receiving an image of at least one selected piece of jewelry, the selected jewelry having a given jewelry profile, wherein the jewelry profile describes features and construction of the selected piece of jewelry; overlaying the image of the at least one selected piece of jewelry onto an image of the person, wherein the overlaying comprises analyzing resizing the image of the at least one selected piece of jewelry to match the physical characteristics of the person, in view of the jewelry profile of the at least one selected piece of jewelry; and providing, on a display of the information handling device, an output image of the image of the person comprising the overlaid image of the at least one piece of jewelry.

Hybrid virtual and physical jewelry shopping experience

Provided are systems, methods, and media for real-time alteration of video. An example method includes presenting a video to a user. The method includes monitoring a gaze point of the user as the user views one or more frames of the video. The method includes, in response to a determination that the monitored gaze point of the user is different from a predetermined target gaze point, changing the orientation of the video to reposition the target gaze point of the video to the monitored gaze point of the user, in which the orientation of the video is changed during the presentation of the video to the user.

Real-time alteration of standard video and immersive video for virtual reality

Methods, systems and computer program products for root cause analysis using provenance data are provided herein. A computer-implemented method comprises computing a plurality of provenance paths for at least one of a plurality of data elements in a curation flow and a plurality of groups of data elements in the curation flow, analyzing the computed provenance paths to determine one or more errors in the curation flow, and outputting the one or more errors in the curation flow to at least one user. The analyzing comprises at least one of identifying which of the computed provenance paths are partial provenance paths, and identifying one or more output records associated with the curation flow, wherein the one or more output records comprise incorrectly curated data, and identifying the computed provenance paths that respectively correspond to the one or more output records comprising the incorrectly curated data.

System and method for root cause analysis in large scale data curation flows using provenance

One embodiment provides a method, including: receiving user voice input comprising a user command to perform an action; determining whether the user command comprises a high risk command or a low risk command; providing a first audible query and a second audible query, wherein the first audible query and the second audible query are related to a verification request for verifying that the user voice input is provided by a user and wherein an answer corresponding to one of the first audible query and the second audible query is stored in a system; receiving a first voice answer input responsive to the first audible query and a second voice answer input responsive to the second audible query; and performing, responsive to determining that at least one of the first voice answer input and the second voice answer input matches the answer stored in the system, the action.

Conversational challenge-response system for enhanced security in voice only devices

One embodiment provides a method, including: receiving, at a conversation agent, text-based input from a user and beginning a conversation between the user and the conversation agent; capturing at least one facial image of the user and analyzing the facial image to extract eye gaze information and facial expressions of the user; identifying, within the text based conversation, a concept of interest to the user, wherein the identifying comprises analyzing the eye gaze information to identify a position within the text-based conversation and determining the concept corresponding to the position within the text-based conversation; determining an emotion of the user in relation to the concept of interest, wherein the determining an emotion comprises analyzing the facial expressions of the user; and providing a text-based response to the user, wherein the text-based response is formulated in view of the determined emotion and the identified concept of interest.

Augmented conversational agent

Methods, systems, and computer program products for prioritizing errors in connectivity models of distribution networks are provided herein. A computer-implemented method includes collecting geo-spatial data arising from each of multiple transformers and multiple customer meters within an electric power distribution network; collecting load data arising from each of the customer meters within the electric power distribution network; assigning one of the transformers to each of the customer meters that is not presently assigned to one of the transformers according to a connectivity model for the distribution network, wherein said assigning is based on the collected multiple items of geo-spatial data and the collected load data; computing an error probability attributable to each of the transformers and the customer meters assigned thereto within the electric power distribution network based on multiple variables; and modifying an existing field inspection schedule corresponding to the electric power distribution network based on said computing.

Identifying and prioritizing errors in connectivity models of distribution networks for efficient field inspections

Techniques for search with autosuggest and refinements are disclosed. In some embodiments, search with autosuggest includes determining a plurality of potential query suggestions for a partially entered query string; and automatically suggesting a plurality of queries based on a query count for each of the queries. For example, the query count can correspond to a popularity of the query. In some implementations, the query count can be determined based on a number of times that the query was received, and the plurality of queries can be listed based on the popularity of each of the plurality of queries (e.g., to facilitate display of more popular queries higher in the list of suggested queries).

Search with autosuggest and refinements

Growing community of inventors

Bengaluru, India

Mohit Jain