Conversation timeline mapping

• US 10,204,105 B2
• Filed: 02/16/2016
• Issued: 02/12/2019
• Est. Priority Date: 02/16/2016
• Status: Active Grant

• Current Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Original Assignee: Cisco Technology, Inc. (Cisco Systems, Inc.)
• Inventors: Yang, Mingfeng, Xi, Yasi, Huang, Bo, Pan, Rongrong
• Primary Examiner(s): Belousov, Andrey
• Application Number:
  US15/044,137
• Publication Number:
  US 20170235739A1
• Time in Patent Office: 1,092 Days
• Field of Search: 715716, 715744, 715752, 709206
• CPC Class Codes: G06F 16/447 Temporal browsing, e.g. timeline
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: H04L 12/1813 for computer conferences, e.g. chat rooms instant messaging H04L51/04; protocols for multimedia communication H04L65/1101; arrangements for multi-party communication H04L65/403; telephonic conference arrangements H04M3/56; television conference systems H04N7/15
• CPC Class Codes: H04L 51/04 Real-time or near real-time messaging, e.g. instant messaging [IM]

Abstract

In one embodiment a method for presenting conversational history is implemented on a computing device and includes: deriving a collaboration activity index as a function of at least a frequency of a conversation'"'"'s communications over a period of time, mapping the collaboration activity index to a conversation timeline according to a timeline for the period of time; and displaying the conversation timeline on a display screen.

Claims

1. A method for presenting conversational history, the method implemented on a computing device and comprising:

analyzing the conversational history for nouns that appear in the conversational history at a threshold frequency over a period of time;

generating, in response to the analyzing, a list of topics from the nouns that appear in the conversational history at the threshold frequency over the period of time;

associating communications within the conversational history with topics in the list of topics;

deriving a collaboration activity index as a function of at least a frequency of the communications of the conversational history associated with topics in the list of topics over the period of time;

mapping said collaboration activity index to a conversation timeline according to a timeline for said period of time; and

displaying said conversation timeline on a display screen as a histogram illustrating relative contributions of the topics of the list of topics to the conversational history as a function of time.

2. The method according to claim 1 and wherein the communications of the conversational history comprise instant messaging (IM) chats.

3. The method according to claim 1 and wherein the communications of the conversational history comprise indications of at least one of online meetings, shared electronic documents, or calling activity.

4. The method according to claim 1, wherein analyzing the conversational history comprises:

retrieving at least details of the communications of the conversational history from a collaboration server.

5. The method according to claim 1 and wherein said deriving comprises receiving said collaboration activity index from a collaboration server.

6. The method according to claim 1 and wherein said deriving comprises:

deriving a different component index for each mode of communication in the communications of the conversational history;

adding together said different component index for each mode of communication to derive said collaboration activity index.

7. The method according to claim 1 and wherein said deriving comprises:

weighting said frequency according to different nodes of communication used for the communications of the conversational history.

8. The method according to claim 1 and wherein said deriving comprises:

weighting said frequency according to said topics of the list of topics.

9. The method according to claim 1, wherein relative values along said conversation timeline graph are expressed as a function of area and color, shade, or background pattern.

10. The method according to claim 1 and further comprising:

detecting a user interface (UI) gesture associated with a location on said displayed conversation timeline;

interpreting said UI gesture as a request to present items from the communications of the conversational history;

determining a point in said timeline according to at least said location on said displayed conversation timeline;

determining a first item from among said items as a function of at least a correlation between said point in said timeline and time-stamps of said items; and

displaying at least an indication of at least said first item.

11. The method according to claim 1 and also comprising:

displaying a timeline detail popup window, wherein said timeline detail popup window presents a detailed collaboration activity index with an additional level of detail for said collaboration activity index for at least a point on said timeline.

12. The method according to claim 11 and wherein said additional level of detail is said collaboration activity index detailed according to topics of the communications of the conversational history.

13. The method according to claim 11 and wherein said additional level of detail is said collaboration activity index detailed according to modes of said conversation'"'"'s communications.

14. The method according to claim 11 and also comprising:

displaying a ruler line on said conversation timeline in accordance with a current position in said timeline;

detecting scrolling requests; and

adjusting said current position of said ruler line in accordance with said ruler line, wherein said at least a point on said timeline is determined in accordance with said adjusted current position.

15. The method according to claim 11 and further comprising:

detecting a UI gesture associated with a location on said detailed collaboration activity index;

interpreting said UI gesture as a request to present items from the communications of the conversational history according to said at least one point in said timeline;

determining a first item from among said items as a function of at least a correlation between said at least one point in said timeline, time-stamps of said items, and said location on said detailed collaboration activity index; and

displaying at least an indication of at least said first item.

16. An apparatus comprising:

a memory;

a display screen; and

a processor, wherein the processor is configured to;

analyze a conversational history stored in the memory for nouns that appear in the conversational history at a threshold frequency over a period of time;

generate a list of topics from the nouns that appear in the conversational history at the threshold frequency over the period of time;

associate communications within the conversational history with topics in the list of topics;

derive a collaboration activity index as a function of at least a frequency of the communications of the conversational history associated with topics in the list of over the period of time;

map said collaboration activity index to a conversation timeline according to a timeline for said period of time; and

display said conversation timeline on the display screen as a histogram illustrating relative contributions of the topics of the list of topics to the conversational history as a function of time.

17. The apparatus of claim 16, wherein the communications of the conversational history comprise instant messaging (IM) chats.

18. The apparatus of claim 16, wherein the communications of the conversational history comprise indications of at least one of online meetings, shared electronic documents, or calling activity.

19. A tangible, non-transitory medium storing instructions, wherein the instructions, when executed by a processor, are operable to:

analyze a conversational history stored in a memory for nouns that appear in the conversational history at a threshold frequency over a period of time;

generate a list of topics from the nouns that appear in the conversational history at the threshold frequency over the period of time;

associate communications within the conversational history with topics in the list of topics;

derive a collaboration activity index as a function of at least a frequency of the communications of the conversational history associated with topics in the list of over the period of time;

map said collaboration activity index to a conversation timeline according to a timeline for said period of time; and

display said conversation timeline on a display screen as a histogram illustrating relative contributions of the topics of the list of topics to the conversational history as a function of time.

20. The tangible, non-transitory storage medium of claim 19, wherein the communications of the conversational history comprise instant messaging (IM) chats.