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Automatic Monitoring Audience and Presenter in Presentations with cues to improve delivery technique Disclosure Number: IPCOM000184881D
Original Publication Date: 2009-Jul-03
Included in the Prior Art Database: 2009-Jul-03
Document File: 2 page(s) / 62K

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It is well understood that the majority (some studies suggest up to 80%) of communication between individuals is non-verbal, such as body language, facial expressions and eye contact. Individuals vary greatly in their ability to read non-verbal communication, particularly when engaging a large number of individuals such as in a presentation. This invention proposes technology-aided reading and interpreting of non-verbal communication such that a presenter can adjust their presentation style to address negative feedback from the audience, or to encourage behaviour that results in positive feedback from the audience. The benefit is that the audience will feel more engaged in the presentation, and therefore the audience is more likely to remember and understand the messages being presented.

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Automatic Monitoring Audience and Presenter in Presentations with cues to improve delivery technique

The ability to expertly read someone's body language and take relevant actions (by words, deeds, etc) has unlimited and probably unknown advantages. Traditional solutions to this problem include formal education and "experience" (or "trial and error"). This article discloses technology-aided help to read 'body language' (and/or monitor verbal communication) and offer alternatives on how to best respond/act in order to reach a desired outcome.

    In a nutshell, the problem being solved is the inability to gauge audience reaction/interest because of either; (i) remote communication, or (ii) presenter inexperience. Then to automatically offer to the presenter suggestions for his/her behavioural changes to ensure that a presentation has the maximum positive outcome with the majority (or all) of the audience.

    Within a communication exchange eg. a presentation, using technology to measure audience reaction (body language (eg. posture, facial expressions), verbal (eg. tone, keywords)) then to automatically propose behavioural changes to the presenter to ensure the maximum positive outcome of the presentation.

    The technique brings together the following information:
actual audience or presenter behaviour (from sensory devices, e.g. camera, heart rate/pulse monitor, body temperature)
undesirable audience or presenter behaviour (e.g. from a database of "warning signs")
desirable audience or presenter behaviour (e.g. from a database of "best practice")
then offer suggestions (from the "best practice") to improve the chances of a positi...