Personal support infrastructure for development of user applications and interfaces

• US 20060031106A1
• Filed: 08/03/2004
• Published: 02/09/2006
• Est. Priority Date: 08/03/2004
• Status: Active Grant

• Current Assignee: Nokia, Inc. (Nokia Corporation)
• Original Assignee: Nokia, Inc. (Nokia Corporation)
• Inventors: Browde, Ian
• Granted Patent: US 7,574,415 B2
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching

Abstract

A system and method that are directed towards developing a computer user interface employing a Personal Support Infrastructure (PSI) stack. The PSI stack is arranged to represent various layers of a human being employing a holistic approach. In one embodiment, the PSI stack may enable organization, development, and solicitation of requirements for the development of a human-machine interface, such as for a mobile device, and the like. In one embodiment, the PSI stack is configured as a data structure that may be populated with elicitations oriented towards developing the set of human-machine interface requirements.

Claims

1. A computer-implemented method for developing a human-machine interface, the computer-implemented method comprising:

enabling a determination of a context of the human-machine interface;

enabling a determination of an elicitation based on an application of at least a portion of a personal support infrastructure (PSI) stack to the context;

providing the elicitation to at least one prospective user of the human-machine interface;

receiving a response to the elicitation;

enabling a determination of a requirement based, in part, on the response to the elicitation; and

providing the requirement to a design mechanism, wherein the requirement enables the development of the human-machine interface.

2. The computer-implemented method of claim 1, wherein the PSI stack further comprises layers, each layer including at least one of a real-time and a virtual time aspect for that layer.

3. The computer-implemented method of claim 1, wherein enabling a determination of the requirement further comprises employing at least one of an Agile Requirements Model, a Requirements Triage, a Knowledge Level Process Model, and a Volere model.

4. The computer-implemented method of claim 1, wherein the elicitation further comprises at least one of a question, a task, a survey, and a questionnaire associated with the at least one portion of the PSI stack.

5. The computer-implemented method of claim 1, wherein providing the requirement to the design mechanism further comprises providing the requirement to at least one of a top-down, a bottom-up, an ad-hoc, a waterfall, a spiral, an evolutionary, a chaos, and an interactive design mechanism.

6. The computer-implemented method of claim 1, wherein the PSI stack further comprises a spirit layer, an identity layer, a values and beliefs layer, a thoughts and emotions layer, a talent and competence layer, a community and skills layer, an action and behaviors layer, and a technical technology layer.

7. The computer-implemented method of claim 6, wherein the technical technology layer further comprises at least one of an OSI Reference model, and an Internet TCP/IP model.

8. The computer-implemented method of claim 1, wherein application at least a portion of the PSI stack further comprises enabling a consideration of each layer within the PSI stack.

9. The computer-implemented method of claim 1, further comprising:

receiving feedback about at least one of the requirements, the elicitation, the PSI stack, and the context; and

employing the feedback to modify the at least one requirement, the elicitation, the PSI stack, and the context.

10. A modulated data signal for developing a human-machine interface, the modulated data signal comprising instructions that enable a computing device to perform the actions of:

receiving a context associated with the human-machine interface at the computing device;

enabling, at the computing device, a determination of an elicitation that is based on at least a portion of a personal support infrastructure (PSI) stack as applied to the context;

providing the elicitation to a second computing device;

receiving, from the second computing device, a response to the elicitation;

enabling, at the second computing device, a determination of a requirement based, in part, on the response; and

providing the requirement to a design mechanism, wherein the requirement enables the development of the human-machine interface.

11. The modulated data signal of claim 10, wherein determination of the elicitation based one at least a portion of the PSI stack further comprises enabling a consideration of each layer within the PSI stack.

12. The modulated data signal of claim 10, further comprising:

receiving feedback about at least one of the requirements, the elicitation, the PSI stack, and the context; and

employing the feedback to modify the at least one requirement, the elicitation, the PSI stack, and the context.

13. The modulated data signal of claim 10, wherein the PSI stack further comprises at least one temporal aspect of a spirit layer, an identity layer, a values and beliefs layer, a thoughts and emotions layer, a talent and competence layer, a community and skills layer, an action and behaviors layer, and a technical technology layer that are each configured to identify at least a portion of a human being'"'"'s relationship to the human-machine interface.

14. A method for developing a supportive infrastructure having a human-machine interface, comprising:

determining a context for the supportive infrastructure;

determining an elicitation, in part, by applying at least a portion of a personal support infrastructure (PSI) stack to the context; and

developing the supportive infrastructure including the human-machine interface based, in part, on a response to the elicitation.

15. The method of claim 14, wherein the PSI stack further comprises at least one of a real-time aspect, and a virtual time aspect associated with each of a spirit layer, an identity layer, a values and beliefs layer, a thoughts and emotions layer, a talent and competence layer, a community and skills layer, an action and behaviors layer, and a technical technology layer.

16. A server for use in developing a human-machine interface, comprising:

a transceiver for receiving and sending information to at least one network device; and

a Personal Support Infrastructure (PSI) manager that is configured to perform actions, including;

enabling a determination of a context of the human-machine interface;

providing each layer within a personal support infrastructure (PSI) stack for use in determining at least one elicitation based on the context;

providing the determined elicitation to at least one prospective user of the human-machine interface;

receiving a response to the elicitation;

enabling a determination of a requirement based, in part, on the response to the elicitation; and

providing the requirement to a design mechanism, wherein the requirement enables the development of the human-machine interface.

17. The server of claim 16, wherein providing the determined elicitation, further comprises providing the determined elicitation to a mobile device, and wherein receiving the response further comprises receiving the response from the mobile device.

18. The server of claim 16, further comprising an elicitation store coupled to the PSI manager, configured to enable storage of the at least one elicitation.

19. The server of claim 16, wherein the PSI stack enables a determination of the elicitation based on at least one of a real-time aspect, and a virtual time aspect of the human-machine interface.

20. The server of claim 16, wherein determining at least one elicitation further comprises enabling each layer within the PSI stack to be employed in determining the elicitation, and wherein at least one of an Agile Requirements Model, a Requirements Triage, a Knowledge Level Process Model, and a Volere model is employed in determining the elicitation.

21. A computer-readable medium encoded with a data structure for use in determining a human-machine interface requirement, the data structure comprising:

a first plurality of data fields configured to include an elicitation associated with a real-time aspect at least one of a spirit, an identity, a value and belief, a thought and emotion, a talent and competence, a community and skill, an action and behavior, and a technical technology for a prospective customer; and

a second plurality configured to include an elicitation associated with a virtual-time aspect at least one of a spirit, an identity, a value and belief, a thought and emotion, a talent and competence, a community and skill, an action and behavior, and a technical technology for a prospective customer.

22. An apparatus for use in developing a human-machine interface, comprising:

a means for enabling a determination of a context of the human-machine interface;

a means for enabling an application of at least a portion of a personal support infrastructure (PSI) stack to the context in a determination of an elicitation;

a means for providing the elicitation to at least one prospective user of the human-machine interface;

a means for receiving a response to the elicitation;

a means for enabling a determination of a requirement based, in part, on the response to the elicitation; and

a means for providing the requirement to a design mechanism, wherein the requirement enables the development of the human-machine interface.