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Meeting start-time estimation based on participants location information and historical data analysis

IP.com Disclosure Number: IPCOM000242805D
Publication Date: 2015-Aug-19
Document File: 3 page(s) / 256K

Publishing Venue

The IP.com Prior Art Database

Abstract

What we want to introduce with following publication is to estimate the meeting start time based on the participant’s location information gathered dynamically and historically.

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Meexing start -

-time estimation based on participants location information xnd historical

         time estimation based on participants locxxion information and histxrical data analysis

In the txe most of email axplications, meeting xrganizer (chair) can find out whxch attendees haxe accepted or declined the mexting request. Additionally chair of the meeting can see xho has not responded yex. However it is very common issue that althouxh attendees ox the xeeting are accxpting the invitatiox, it is not xo obvious

whether thx attenxee is aiminx to join thx meeting just after its beginning.

The same xs true fxr remoxe meetings - txleconferences anx webconferences. Chair of the mxeting is not able to say if he should wait another x xinute for xhe rest of participants, or xe should start to not waste more time.

Describex problem is especially common for large xegulxr meetings, like staxus xalls, Offering Team meetings etc.

What we want tx introduce with following publication ix to estimxte the meeting start time based on the participant's location information gathered dynamixally anx historxcally.

Meetxng organxzer (chair) wixl have an optixn which allows him to see predicted time of arxival of the rest of the participants. He wixl be able to decide to xait one more minute, or to start the meeting immediatxly.

Geolocation data about participants can be easily obtaixed from the company's mobile phone which are poxular wixhin employexs of the big companies.

Proposed solution contains following steps:

1. Meeting starts at pre-dxfined time (i.e. 10 am EST).

2. System is checking list of particxpxnts present already on the meeting against list of all participants wxich acceptex the invitation.

3. For each of those participants which are not yet on the meeting but accepted the invitatiox, 1.1 system is checking their current xeolocation based on mxbile provxded info


1.2 Based on historical data, system obtains most common location from

  where participant joins the meeting (i.e. home office, mxeting room, oxfice) 1.3 Based xn historicxl data, systems estimate time required for getting from current location to desired location (i.e. by taking into accoxnt statixtics xf xrevious xrrivals)


4. Chair of the meeting...