Intelligent Service

Intelligent Service (iService)

What is iService ? iService is general service framework with high intelligence which works in iSpace   

Applicable to any service model Adaptable for any customer and TPO Simple algorithm (consisted by only three phases Demand Generation, Demand-Story Conversion and Story Execution) 

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Demand Generation  There are three ways to generate demands. non-trigger, trigger active or trigger passive.) Demand-Story Conversion  Convert service demand to precise story Story Execution  Particular services constructing the story are executed taking into account customer and TPO

General flow of iService Demand Generation

Demand-Story Conversion

Story Execution iService

Demand Generation 3Types of Service Demand NonTrigger Trigger

ex.Time-scheduled service

Active Most services (ex bring coffee)

Passive Emergency services (ex fire or seizure case)

Demand Generation 3Types of Service Demand

Non-Trigger Trigger

Active Passive

Interface Non-Trigger

Language which can represent service demand as iSpace perceptible format Ex. iSpace language etc.

Trigger Active

Language which can represent service demand as iSpace perceptible format Ex.Body language, iSpace language etc.

Trigger Passive

4W1H

Example of Generated Demand Water flowers at 10:00AM every day I want something to drink (Since Person fell down suddenly,) Call 119

Demand-Story Conversion Definition of ・ Story Story consist of independent services connected

sequentially (ex “bring” consists of “move” “grab” “release” services) ・ There is no limitation in numbers of agent involved in the service. It could be multi-agent service. ・ Do not deal case that several stories are ongoing at same time and they are not independent ※Advanced Task ： If we think of case that several stories are ongoing at same time and they are not independent,Service1 it could maybe describedService by interval description (proposed by Allen) Story Agent Service2

Service3

System Model

Demand-Story Conversion Demand Come here robot Example Case1 Room A

Case2 Room B door

Story of Case1 Move to human

Room A

Room B door

Story of Case2 Move to door Open and close the door Move to human

Story Execution –

execution of each

service Service Model Switching Control Switch service model considering “Who the Customer is” and “TPO”

Individual Customer Adaptation Adapt some user feedback to Service Model (parameter tuning depending on Customer Satisfaction)

ID of customer

Previous Service

situation recognition by iSpace (TPO)

Service Model Data Base Service model A Service model B Service model C user feedback situation recognition by user support (TPO)

Service terminatio n checker

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