kansei analysis for ubiquitous robots interacting with people in dynamic environments

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Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments . Contents. Introduction Human Behavior Personal Space New system Future aspects Construction Summary. Introduction. Mobile robots, Autonomous robots, Android robots - PowerPoint PPT Presentation

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Page 1: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Kansei Analysis for Ubiquitous Robots InteraKansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments cting with People in Dynamic Environments

Page 2: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

ContentsContents IntroductionIntroduction Human BehaviorHuman Behavior Personal SpacePersonal Space New systemNew system Future aspectsFuture aspects ConstructionConstruction SummarySummary

Page 3: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

IntroductionMobile robots, Autonomous robots, Android r

obots Humanoid Robots (Human LIKE robot???)

Features:• Interaction with Humans• Imitate human actions

Page 4: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Requirements

• Human like appearance• Human like behavior • Human like feelings

Page 5: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Moving Around People

• Moving around• Interactions with humans • Form in queues

Page 6: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Queuing

• Forming a line of people

Page 7: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

What to Consider

Page 8: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Dos and Don`ts

Page 9: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Line Modeling

??Too close

Too away

Page 10: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Perfect Line

• Appropriate Spacing

Page 11: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Nakauchi Model

• Nakauchi Model of a Human

Page 12: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Personal Space

• Nakauchi Model of personal space when people are forming a line

Page 13: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Forming Line

• Nakauchi Model of line of people

Page 14: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Simplified Version

HumanFront Side

Personal Space Generalized Circular Shape

80 cm 20 cm

30 cm

•Average distances with reference to generalized circular diameter of a human

Page 15: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Generalization

• Considered as a percentage of 177.8% in front, 44.4% behind and 66.7% in sides as the following proportion yields.

(a_dist. / g.c.d.) X 100%

Page 16: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Application

TargetObstacle

Tracker Personal Space

Page 17: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Other Factors

• Shape• Size• Colour• Sound

Ohh!

Page 18: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Relationships• Size and Distance

– Distance = K1 + K2 Size

• Shape and Distance– Distance = K3 + K4 Shape

Size / Shape

Distance

Page 19: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Moving Around• Safe distance (sd) and • Personal distance (pd) (personal space)

Obstacle

HumanB

HumanA

sdgcd

2gcdRobot R

T =0

pd

Robot RT = t

Page 21: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Experimental Setup

Page 22: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Measure for Personal Space

0 2 4 6 8 10 12 14 16 18 2040

60

80

100

120

140

160

Number of subjects

Dis

tanc

e to

the

robo

t [cm

]

Average distance

Page 23: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Indication of Feelings

Face Fine

Happy Sad

Page 24: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Fuzzy System

Fuzzyinference system

Distance

Rate of changeFeeling

Page 25: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

One Output

1

2

3

4

5

6

70 1 -1 1

0 1

Distance= 0.372

Rate of Change= 0.136

Feeling= 0.454

Page 26: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Some Considerations

• Making voice messages• Object identification and response

Shuu...

Wow

Page 27: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Human interaction

• Recognition of– Voice– Gesture

Human Robot

Page 28: Kansei Analysis for Ubiquitous Robots Interacting with People in Dynamic Environments

Summary• Social rules• Human feelings identification

– Personal space• Show some feelings

– Eye colour– Mouth shape

• More analysis into personal space– Shape– Colour

• Using voice• Identify gestures• More friendly human interaction

In the future: