COMPUTER-IMPLEMENTED METHOD FOR DETERMINING GAME MECHANICS IN BUSINESS PROCESS GAMIFICATION

• US 20160089608A1
• Filed: 09/29/2015
• Published: 03/31/2016
• Est. Priority Date: 09/30/2014
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Deng, Vincent Yw, Liao, Pao-Chuan, Lin, Raymund June-Ray, Nguyen, Binh Q.
• Application Number:
  US14/868,536
• Publication Number:
  US 20160089608A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A63F 13/65 automatically by game devices or servers from real world data, e.g. measurement in live racing competition
• CPC Class Codes: A63F 13/79 involving player-related data, e.g. identities, accounts, preferences or play histories
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals

Abstract

Aspects are related to automatically determining game mechanics in business process gamification. Execution data of prior users of a first task in a business process is accessed in a history database. The execution data of the prior users of the first task is analyzed. The game mechanics for the first task is determined according to a result of the analyzing.

Claims

1. A computer implemented method for automatically determining game mechanics in business process gamification, the method comprising:

accessing, from a history database, execution data of prior users of a first task in a business process;

analyzing the execution data of the prior users of the first task; and

determining game mechanics for the first task according to a result of the analyzing.

2. The method as claimed in claim 1, wherein the execution data of the prior users is updated in real-time prior to the analyzing.

3. The method as claimed in claim 1, wherein the execution data of the prior users comprises time spent by the prior users to finish the first task.

4. The method as claimed in claim 1, wherein the determining comprises confirming whether a variance of the execution data of the prior users is within a predetermined range.

5. The method as claimed in claim 1, wherein the execution data of the prior users comprises counts of a predetermined operation executed by the prior users to finish the first task.

6. The method as claimed in claim 1, wherein the accessing comprises accessing the execution data of the prior users of a second task in the business process, and the analyzing comprises analyzing the execution data of the prior users of the second task.

7. The method as claimed in claim 1, wherein the determining comprises selecting a game element adopted by the game mechanics.

8. The method as claimed in claim 7, wherein the determining comprises determining a parameter of the game element.

9. The method as claimed in claim 8, wherein the analyzing comprises clustering the execution data of the prior users, wherein the parameter is based on a result of clustering.

10. A system comprising:

a memory having computer readable instructions; and

one or more processors for executing the computer readable instructions, the computer readable instructions comprising;

accessing, from a history database, execution data of prior users of a first task in a business process;

analyzing the execution data of the prior users of the first task; and

determining game mechanics for the first task according to a result of the analyzing.

11. The system as claimed in claim 10, wherein the execution data of the prior users is updated in real-time prior to the analyzing.

12. The system as claimed in claim 10, wherein the execution data of the prior users comprises time spent by the prior users to finish the first task.

13. The system as claimed in claim 10, wherein the determining comprises confirming whether a variance of the execution data of the prior users is within a predetermined range.

14. The system as claimed in claim 10, wherein the execution data of the prior users comprises counts of a predetermined operation executed by the prior users to finish the first task.

15. The system as claimed in claim 10, wherein the accessing comprises accessing the execution data of the prior users of a second task in the business process, and the analyzing comprises analyzing the execution data of the prior users of the second task.

16. The system as claimed in claim 10, wherein the determining comprises selecting a game element adopted by the game mechanics.

17. The system as claimed in claim 16, wherein the determining comprises determining a parameter of the game element.

18. The system as claimed in claim 17, wherein the analyzing comprises clustering the execution data of the prior users, wherein the parameter is based on a result of clustering.

19. A computer program product for automatically determining game mechanics in business process gamification, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to:

access, from a history database, execution data of prior users of a first task in a business process;

analyze the execution data of the prior users of the first task; and

determine game mechanics for the first task according to a result of the analyzing.

20. The computer program product of claim 19, wherein the execution data of the prior users is updated in real-time prior to the analyzing.