Sign In to Follow Application
View All Documents & Correspondence

Method And System For Measuring An End User Experience In A Virtual Desktop Environment

Abstract: The present disclosure discloses a method and a system for measuring a User Experience (UX) in a Virtual Desktop Environment (VDE). The method comprises receiving a metric corresponding to each of one or more parameters associated with a plurality of user touchpoints in the VDE, assigning a dynamically calibrated weight to each of the one or more parameters, and calculating, a cumulative weighted score indicative of the user experience, based on weighted scores calculated for each of the plurality of user touchpoints, wherein the weighted scores for each of the plurality of user touchpoints are calculated based on the corresponding dynamically calibrated weight and the corresponding metric. The present disclosure improves user experience in the VDE. Figure 2

Get Free WhatsApp Updates!
Notices, Deadlines & Correspondence

Patent Information

Application #
Filing Date
29 March 2017
Publication Number
40/2018
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
ipo@knspartners.com
Parent Application
Patent Number
Legal Status
Grant Date
2023-12-20
Renewal Date

Applicants

WIPRO LIMITED
Doddakannelli, Sarjapur Road, Bangalore - 560035, Karnataka, India.

Inventors

1. NARASIMHA SEKHAR KAKARAPARTHI
H.No. 54, Vertex Privilege Colony, Nizampet Road, Kukatpally, Hyderabad, Telangana, India.

Specification

Claims:We claim:

1. A method for measuring a User Experience (UX) in a Virtual Desktop Environment (VDE), comprising:
receiving, by a UX measuring system, a metric corresponding to each of one or more parameters associated with a plurality of user touchpoints in the VDE;
assigning, by the UX measuring system, a dynamically calibrated weight to each of the one or more parameters, wherein the dynamic calibration of the weight is based on a comparison of at least a historical cumulative weighted score with a predefined reference score;
and
calculating, by the UX measuring system, a cumulative weighted score indicative of the user experience, based on weighted scores calculated for each of the plurality of user touchpoints, wherein the weighted scores for each of the plurality of user touchpoints are calculated based on the corresponding dynamically calibrated weight and the corresponding metric.

2. The method of claim 1, further comprising identifying one or more actions when the cumulative weighted score is less than a predefined reference score, wherein the user experience is enhanced by execution of the identified one or more actions.

3. The method of claim 1, wherein the received metric is normalized based on a predefined scale.

4. The method of claim 1, wherein the metric is received at predefined time intervals.

5. The method of claim 1, wherein the metric is validated based on a set of predefined values.

6. The method as claimed in claim 1, wherein the predefined reference score is calculated based on one or more of: an analysis of experience of a user performed by mirroring the VDE of the user at backend of the VDE, an analysis of experience of user based on one or more inputs received from the user, a deep learning performed on historical cumulative weighted scores.

7. The method as claimed in claim 1, wherein the plurality of user touchpoints comprises at least one of: input/output systems, local devices associated with the VDE, datacenter services, external resources of the VDE, user interactions with self-service portals, operating system, applications of the VDE, and resources available for virtual machine.

8. A User Experience (UX) measuring system, comprising:
a processor; and
a memory, communicatively coupled with the processor comprising processor executable instructions, which, on execution causes the processor to:
receive a metric corresponding to each of one or more parameters associated with a plurality of user touchpoints in the VDE;
assign a dynamically calibrated weight to each of the one or more parameters, wherein the dynamic calibration of the weight is based on a comparison of at least a historical cumulative weighted score with a predefined reference score; and
calculate a cumulative weighted score indicative of the user experience, based on weighted scores calculated for each of the plurality of user touchpoints, wherein the weighted scores for each of the plurality of user touchpoints are calculated based on the corresponding dynamically calibrated weight and the corresponding metric.

9. The UX measuring system as claimed in claim 8, wherein the processor is further configured to identify one or more actions when the cumulative weighted score is less than a predefined score, wherein the user experience is enhanced by execution of the identified one or more actions.

10. The UX measuring system as claimed in claim 8, wherein the received metric is normalized based on a predefined scale.

11. The UX measuring system as claimed in claim 8, wherein the metric is received at predefined time intervals.

12. The UX measuring system as claimed in claim 8, wherein the metric is validated based on a set of predefined values.

13. The UX measuring system as claimed in claim 8, wherein the predefined reference score is calculated based on one or more of: an analysis of UX of a user performed by mirroring the VDE of the user at the backend of the VDE, an analysis of the UX of the user based on one or more inputs received from the user, a deep learning performed on one or more historical cumulative weighted scores.
14. The UX measuring system as claimed in claim 8, wherein the plurality of user touchpoints comprises at least one of: input/output systems, local devices associated with the VDE, data center services, external resources of the VDE, user interactions with self-service portals, operating system, applications of the VDE, and resources available for virtual machine.

Dated this 29th day of March, 2017

R Ramya Rao
Of K&S Partner
Agent for the Applicant
, Description:TECHNICAL FIELD
The present disclosure relates to virtual desktop environments. More particularly, the present disclosure relates to measuring an end user experience in a virtual desktop environment.

Documents

Application Documents

# Name Date
1 Power of Attorney [29-03-2017(online)].pdf 2017-03-29
2 Form 5 [29-03-2017(online)].pdf 2017-03-29
3 Form 3 [29-03-2017(online)].pdf 2017-03-29
4 Form 18 [29-03-2017(online)].pdf_44.pdf 2017-03-29
5 Form 18 [29-03-2017(online)].pdf 2017-03-29
6 Form 1 [29-03-2017(online)].pdf 2017-03-29
7 Drawing [29-03-2017(online)].pdf 2017-03-29
8 Description(Complete) [29-03-2017(online)].pdf_45.pdf 2017-03-29
9 Description(Complete) [29-03-2017(online)].pdf 2017-03-29
10 PROOF OF RIGHT [22-06-2017(online)].pdf 2017-06-22
11 Correspondence by Agent_Form30,Form1_27-06-2017.pdf 2017-06-27
12 201741011122-FER.pdf 2020-06-23
13 201741011122-PETITION UNDER RULE 137 [23-12-2020(online)].pdf 2020-12-23
14 201741011122-FORM 3 [23-12-2020(online)].pdf 2020-12-23
15 201741011122-FER_SER_REPLY [23-12-2020(online)].pdf 2020-12-23
16 201741011122-PatentCertificate20-12-2023.pdf 2023-12-20
17 201741011122-IntimationOfGrant20-12-2023.pdf 2023-12-20
18 201741011122-PROOF OF ALTERATION [18-03-2024(online)].pdf 2024-03-18

Search Strategy

1 SearchStrategy201741011122E_29-05-2020.pdf

ERegister / Renewals

3rd: 18 Mar 2024

From 29/03/2019 - To 29/03/2020

4th: 18 Mar 2024

From 29/03/2020 - To 29/03/2021

5th: 18 Mar 2024

From 29/03/2021 - To 29/03/2022

6th: 18 Mar 2024

From 29/03/2022 - To 29/03/2023

7th: 18 Mar 2024

From 29/03/2023 - To 29/03/2024

8th: 18 Mar 2024

From 29/03/2024 - To 29/03/2025

9th: 28 Mar 2025

From 29/03/2025 - To 29/03/2026