# US 2019/0318291 A1 · Facilitating micro-task performance during down-time > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2019/0318291 A1 - Document ID: US20190318291A1 - Status: Published application - Kind: A1 - Application number: 15/954,560 - Filed: 2018-04-16 - Published: 2019-10-17 - Earliest claimed: 2018-04-16 - Assignees: International Business Machines Corporation - Applicants: International Business Machines Corporation - Inventors: Abdigani DIRIYE; Shikhar KWATRA; Komminist WELDEMARIAM - Web page: https://patentgrep.com/patent/US20190318291A1 ## CPC - G06Q 10/063112: {Skill-based matching of a person or a group to a task} - G06F 9/4451: {User profiles; Roaming} - G06Q 10/06316: {Sequencing of tasks or work} - H04L 41/145: {involving simulating, designing, planning or modelling of a network} - H04L 41/16: using machine learning or artificial intelligence - H04L 41/40: using virtualisation of network functions or resources, e.g. SDN or NFV entities - H04L 67/306: User profiles - G06F 3/0482: Interaction with lists of selectable items, e.g. menus - G06F 3/0483: Interaction with page-structured environments, e.g. book metaphor - G06F 40/174: Form filling; Merging - G06Q 30/016: After-sales - H04L 41/5003: Managing SLA; Interaction between SLA and QoS - H04L 43/0805: by checking availability - H04L 43/0876: Network utilisation, e.g. volume of load or congestion level - H04L 67/52: specially adapted for the location of the user terminal - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## Abstract A method includes obtaining a user profile that includes a user's affinities to each of a plurality of micro-tasks; estimating a duration of down-time for the user; estimating task selection factors responsive to the user profile and to the estimated duration of down-time; generating a list of micro-tasks responsive to the task selection factors; ranking the list of micro-tasks according to the user's affinities; partitioning the down-time according to the ranked list of micro-tasks; and presenting one or more of the micro-tasks to the user, according to the partitioning of the down-time, by altering operation of a user device. ## Claims ### Claim 1 A method comprising: obtaining a user profile that includes a user's affinities to each of a plurality of micro-tasks; estimating a duration of down-time for the user; estimating task selection factors responsive to the user profile and to the estimated duration of down-time; generating a list of micro-tasks responsive to the task selection factors; ranking the list of micro-tasks according to the user's affinities; partitioning the down-time according to the ranked list of micro-tasks; and presenting one or more of the micro-tasks to the user, according to the partitioning of the down-time, by altering operation of a user device. ### Claim 2 (depends on 1) The method of claim 1 wherein the user profile further includes user demographic data. ### Claim 3 (depends on 1) The method of claim 1 further comprising dynamically updating the user profile according to user cognitive state. ### Claim 4 (depends on 1) The method of claim 1 further comprising dynamically updating the user profile according to user context. ### Claim 5 (depends on 4) The method of claim 4 wherein the user context includes a location of the user. ### Claim 6 (depends on 4) The method of claim 4 wherein the user context includes a listing of applications currently running on a user device. ### Claim 7 (depends on 1) The method of claim 1 wherein the down-time is partitioned to present the highest affinity micro-task first. ### Claim 8 (depends on 1) The method of claim 1 wherein the down-time is partitioned to present the shortest duration micro-task first. ### Claim 9 (depends on 1) The method of claim 1 wherein the task selection factors include an estimated time to perform each micro-task. ### Claim 10 (depends on 1) The method of claim 1 wherein the task selection factors include an estimated level of skill to perform each micro-task. ### Claim 11 (depends on 1) The method of claim 1 wherein the task selection factors include a category of each micro-task. ### Claim 12 (depends on 1) The method of claim 1 wherein the task selection factors include a listing of capabilities of a user's device. ### Claim 13 (depends on 1) The method of claim 1 wherein the user profile includes the user's history of task completion. ### Claim 14 (depends on 1) The method of claim 1 further comprising generating rewards corresponding to the list of micro-tasks in response to the user profile. ### Claim 15 (depends on 14) The method of claim 14 wherein the rewards are generated according to estimated time to complete each of the list of micro-tasks. ### Claim 16 (depends on 14) The method of claim 14 wherein the rewards are generated according to estimated importance of each of the list of micro-tasks. ### Claim 17 (depends on 14) The method of claim 14 wherein the rewards are generated according to a category of each of the list of micro-tasks. ### Claim 18 A non-transitory computer readable medium embodying computer executable instructions which when executed by a computer cause the computer to facilitate the method of: obtaining a user profile that includes a user's affinities to each of a plurality of micro-tasks; estimating a duration of down-time for the user; estimating task selection factors responsive to the user profile and to the estimated duration of down-time; generating a list of micro-tasks responsive to the task selection factors; ranking the list of micro-tasks according to the user's affinities; partitioning the down-time according to the ranked list of micro-tasks; and presenting one or more of the micro-tasks to the user, according to the partitioning of the down-time, by altering operation of a user device. ### Claim 19 An apparatus comprising: a memory embodying computer executable instructions; and at least one processor, coupled to the memory, and operative by the computer executable instructions to facilitate a method of: obtaining a user profile that includes a user's affinities to each of a plurality of micro-tasks; estimating a duration of down-time for the user; estimating task selection factors responsive to the user profile and to the estimated duration of down-time; generating a list of micro-tasks responsive to the task selection factors; ranking the list of micro-tasks according to the user's affinities; partitioning the down-time according to the ranked list of micro-tasks; and presenting one or more of the micro-tasks to the user, according to the partitioning of the down-time, by altering operation of a user device. ### Claim 20 (depends on 19) The apparatus of claim 19, wherein the method further comprising dynamically updating the user profile according to user cognitive state.