US 11,727,318 B2
Meeting room selection based on internet of things privacy level
Jacob Thomas Covell, New York, NY (US); Lisa Seacat DeLuca, Baltimore, MD (US); Robert Huntington Grant, Marietta, GA (US); and Zachary A. Silverstein, Austin, TX (US)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Oct. 30, 2020, as Appl. No. 17/85,950.
Prior Publication US 2022/0138634 A1, May 5, 2022
Int. Cl. G06Q 10/02 (2012.01); G06Q 10/1093 (2023.01); G06Q 10/0635 (2023.01); G06Q 10/0631 (2023.01); H04L 9/40 (2022.01); G06N 20/00 (2019.01); G16Y 40/50 (2020.01); G06F 16/9536 (2019.01)
CPC G06Q 10/02 (2013.01) [G06F 16/9536 (2019.01); G06N 20/00 (2019.01); G06Q 10/0635 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/1095 (2013.01); G16Y 40/50 (2020.01); H04L 63/04 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer system comprising:
a processing device operably coupled to a memory device, wherein the memory device is configured to receive at least a portion of a meeting room database, the database including data associated with each meeting room of a plurality of meeting rooms, the processing device configured to:
calculate, for each meeting room of the plurality of meeting rooms, a respective privacy risk score comprising:
determine, for each meeting room of the plurality of meeting rooms, and for each Internet of Things (IoT) device of one or more IoT devices, an audio risk radius;
analyze content of a group meeting invitation;
determine a sensitivity level of the group meeting invitation;
compare the sensitivity level of the group meeting invitation with the privacy risk score for each meeting room of the plurality of meeting rooms; and
select one of the plurality of meeting rooms having a privacy risk score corresponding to the sensitivity level of the group meeting invitation.