Patent application EP20172152A (EP), filed 2020-04-29
Publication number: EP3733068A1
Title: ASSESSING COGNITIVE REACTION TO OVER-THE-AIR UPDATES
Abstract: One or more embodiments include a cognition analysis system for determining a cognitive reaction to a software application update. The cognition analysis system determines that a software application executing on a computing device has been modified into an updated software application. The cognition analysis system acquires, via at least one sensor, sensor data associated with a user of the updated software application. The cognition analysis system determines, based on the sensor data, at least one of a cognitive workload and an emotional state associated with a user interaction with a feature of the updated software application.
IPC codes: A61B   5/    16            A I
G06F  11/    36            A I
G06F   8/    65            A I
G06K   9/    00            A I
G10L  25/    63            A I
A61B   5/    00            A I
A61B   5/    01            A I
A61B   5/   024            A I
A61B   5/    08            A I
G06F  11/    34            A I
G06V  20/    59            A I
Claims: number: 1
text: A computer-implemented method for determining a cognitive reaction to a software application update, the method comprising:
number: 2
text: The computer-implemented method of claim 1, wherein determining that the software application executing on the computing device has been updated comprises determining that an over-the-air update associated with the software application has been installed on the computing device.
number: 3
text: The computer-implemented method of claim 1, wherein the sensor data includes at least one image of the user of the software application, and wherein determining the at least one of the cognitive workload or the emotional state comprises analyzing the at least one image of the user of the software application.
number: 4
text: The computer-implemented method of claim 1, wherein the sensor data includes at least one of a heartrate, a breathing rate, or a galvanic skin response of the user, and wherein determining the at least one of the cognitive workload or the emotional state comprises analyzing the at least one of the heartrate, the breathing rate, or the galvanic skin response of the user.
number: 5
text: The computer-implemented method of claim 1, further comprising:
number: 6
text: The computer-implemented method of claim 1, further comprising:
number: 7
text: The computer-implemented method of claim 1, further comprising causing the at least one of the cognitive workload or the emotional state to be transmitted to a telemetrics system via a communications network.
number: 8
text: The computer-implemented method of claim 1, wherein the emotional state comprises an emotional arousal level and an emotional valence level.
number: 9
text: A computer-readable storage medium including instructions that, when executed by a processor, cause the processor to determine a cognitive reaction to a software application update, by performing the steps of:
number: 10
text: The computer-readable storage medium of claim 9, wherein the sensor data includes:
number: 11
text: The computer-readable storage medium of claim 9, the steps further comprising:
number: 12
text: The computer-readable storage medium of claim 9, the steps further comprising:
number: 13
text: The computer-readable storage medium of claim 9, the steps further comprising:
number: 14
text: The computer-readable storage medium of claim 9, the steps further comprising:
number: 15
text: A system, comprising:
Office action: search_report, dated 2020-11-04
Rejection reasons: novelty_epc_54
Prior art cited: ref_id: US2008091515A1
ref_type: patent
severity: background
ref_id: US2013159228A1
ref_type: patent
severity: background
ref_id: - KOLAKOWSKA AGATA ET AL: "Emotion recognition and its application in software engineering", 2013 6TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI), IEEE, 6 June 2013 (2013-06-06), pages 532 - 539, XP032475640, ISSN: 2158-2246, ISBN: 978-1-4673-5635-0, [retrieved on 20130809], DOI: 10.1109/HSI.2013.6577877
ref_type: npl
severity: background
ref_id: - MUNIM KAZI MD ET AL: "Towards developing a tool for UX evaluation using facial expression", 2017 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL INFORMATION AND COMMUNICATION TECHNOLOGY (EICT), IEEE, 7 December 2017 (2017-12-07), pages 1 - 6, XP033308192, ISBN: 978-1-5386-2305-3, [retrieved on 20180129], DOI: 10.1109/EICT.2017.8275227
ref_type: npl
severity: background
ref_id: US2008091515
ref_type: patent
severity: novelty_destroying
ref_id: US2013159228
ref_type: patent
severity: novelty_destroying
ref_id: - KOLAKOWSKA AGATA ET AL, "Emotion recognition and its application in software engineering", 2013 6TH INTERNATIONAL CONFERENCE ON HUMAN SYSTEM INTERACTIONS (HSI), IEEE, doi:10.1109/HSI.2013.6577877, ISSN 2158-2246, ISBN 978-1-4673-5635-0, (20130606), pages 532 - 539, (20130809), XP032475640 [X] 1,3,4,8-10 * abstract * * page  532, column  lc, paragraph  1  - column  rc, paragraph  4 * * page 533, left-hand column, section "A", paragraph 1 - right-hand column, paragraph 1 * * page 535, section "Physiological sensors", whole section * * page  536, column  rc, paragraph  1  - paragraph  2 * * page 537, left-hand column, section C, paragraph 1-2 * [I] 2,5-7,11-15
ref_type: npl
severity: novelty_destroying
ref_id: - MUNIM KAZI MD ET AL, "Towards developing a tool for UX evaluation using facial expression", 2017 3RD INTERNATIONAL CONFERENCE ON ELECTRICAL INFORMATION AND COMMUNICATION TECHNOLOGY (EICT), IEEE, doi:10.1109/EICT.2017.8275227, ISBN 978-1-5386-2305-3, (20171207), pages 1 - 6, (20180129), XP033308192 [X] 1-4,9 * abstract * * page 1, left-hand column, section I, paragraph 1 - right-hand column, paragraph 3 * * page 2, left-hand column, section "A", paragraph 1 - paragraph 3 * * page 3, left-hand column, section III, paragraph 1 - right-hand column, section "B", paragraph 4 * [I] 10-15
ref_type: npl
severity: novelty_destroying
Final disposition: pending (2020-11-04)