amitani kes2002 presentation an approach to a knowledge reconstruction engine for supporting event...

8/14/2019 amitani KES2002 Presentation An Approach to a Knowledge Reconstruction Engine for Supporting Event Planning

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An Approach to a Knowledge Reconstruction

Engine for Supporting Event Planning

Shigeki Amitani, Mikihiko Mori and Koichi Hori

Department of Advanced Interdisciplinary Studies,

The University of Tokyo


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Outline

Background

Our Approach -- What is Knowledge Reconstruction ?

Experiments & Methodology

An Example of Knowledge Reconstruction

System Image & Expected Interaction

Future Work


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Background

Event Planning:

Designing process with implicit knowledge of an

experienced planner

Evaluation of an Events Effects:

Questionnaires (5-point scale, free-answer)

Feedback to planners:

Statistical data and visitors comments


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Problems

Planners cannot obtain strategic knowledge:

Statistical data do not tell why the results were

obtained. = lacking its contexts

There is no systematic feedback to planners:

It is difficult to accumulate and utilize

knowledge about event-plannings.

No persuasive accountability to clients


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Our ApproachHow and what knowledge can be utilized?

To see if planners intentions and visitors

impressions are matched, we are going to articulategaps between them

To establish a feedback loop in event planning

process supported byKnowledge Reconstruction System

To support persuasive explanation to clients


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What is Knowledge Reconstruction ?

Knowledge should be not only obtained, but

created and utilized dynamically.

Obtain Knowledge

Create New Knowledge

Utilize Knowledge


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To Utilize Knowledge

It is necessary to know a context where knowledge

is produced [Fischer, 2001]

That is why planners cannot utilize statistical dataas knowledge.

We are going to provide

knowledge with its real context.


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Experiments

World PC Expo 2001 (19-22 Sep. 01)

FUJI Xerox

Canon

Toshiba

Tokyo Motor Show 2001 (26 Oct. 7 Nov. 01)

SUBARU

(both in Makuhari Messe, Japan)


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Methodology

Planners Intention:

What and how did you implement to expressevent concepts?

Visitors Impression:

Let subjects browse in a booth / booths with arecording device

Interview with Retrospective Report Method

What did you look at? What did you thinkabout it? Then how did you behave?

Compare them


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developed (?) at AI Lab, RCAST

DV Camera

A Recording Unit and Protocol Data

time Percieved Object Thought Action17.45 Explanation of the booth I don't care what it is

18.16 I'm filling in a questionnaire if I can get so Fill the questionnaire19.38 I finished writing Stand up

19.50 I'm going to look at the explained commodi Move to an exhibision corner20.30 I want to ask how much it is Look at a staff


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An Example of Obtained Knowledge

At Motor Show: Interaction with the other visitors

A companion took a picture with a family. Both ofthe companion and the child smiled. My (= the

subject's) children also like cars. They would be

delighted if I took them here. That is a good idea.

This knowledge caused a new strategy


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A New Strategy was Produced

A planner hit upon a new strategy:

By inviting customers families, the other

visitors can feel in the way mentioned.Moreover, the invited family will also feel

better because they feel they are invited as

special guests and this family can enjoy

being a customer of the company, which will

be great benefit to the company, too.


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An Good Example of Knowledge Reconstruction

Following pieces of knowledge are not anything new,

but their combination results in a new strategy.

There are interactions among visitors. People will be glad if they are invited as special guests.

If visitors like the company, it is benefit for the company.

And so on

To utilize knowledge, it should be accompaniedwith contexts where knowledge was produced which

normal statistical data lack.


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Knowledge Reconstruction System

Todiscover knowledge from a large amount of data

To constructa case base with obtained knowledge for

future utilization To let planners understandthe knowledge for creating

new knowledge

To explain in a persuasive way topromote clientsunderstanding


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System

ChronoSpace

A tool for browsing a visitors protocol in a microscopic

way

ContextMap

A tool for browsing event objects with interesting

phenomena in a macroscopic way


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System Image

ChronoSpace: A visitors flow in an event ContextMap: All focused data are arranged

Main stage

Concept car

Companion

Rally car stage

Locations of objects are calculated along with their similarity

in terms of their effect on the visitors mental impressionsUnsuccessful instance

Successful instance

A point where verbal report was produced

Protocol

at a selected

point

(An instance from

the other event)

Search Protocol Data

nstances the planner focused on


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Future Work

Interaction Design for real workflow

Construction of system prototype

Trial use and observation of planners usage

Refine the system


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acknowledgemen

we really appreciate for kind help of:

ms. hiroko Shoji and mr. hirohito shibata

members of our laboratory Dentsu Inc.

and all of the people who gave us supports

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