Context Adaptive Digital Maps on Public Displays

Context-Adaptive Digital Maps for Public Displays

Amenity Applewhite

Context-Adaptive Digital Signage SeminarSummer 2008

Outline

Outline• Introduction

Outline• Introduction

• Related work

Outline• Introduction

• Related work

• Initial user study

Outline• Introduction

• Related work

• Initial user study

• Prototype design

Outline• Introduction

• Related work

• Initial user study

• Prototype design

• Second user study

Outline• Introduction

• Related work

• Initial user study

• Prototype design

• Second user study

• Recommendations

Outline• Introduction

• Related work

• Initial user study

• Prototype design

• Second user study

• Recommendations

• Conclusion

Introduction

Introduction• 20 MobiDiC Signs

Introduction• 20 MobiDiC Signs

• Map content

Introduction• 20 MobiDiC Signs

• Map content

• Requirements analysis

Introduction• 20 MobiDiC Signs

• Map content

• Requirements analysis

• User-Centered Design

Introduction• 20 MobiDiC Signs

• Map content

• Requirements analysis

• User-Centered Design

• Context-dependence

Related workPublic displays *

• Small

• Eye-level

*Huang et al. 2008 **Abowd and Dey 1999 ***Schmidt-Belz 2003

Related workPublic displays *

• Small

• Eye-level

Context-adaptive**

• Location, identity, activity, time

• Advantageous***

*Huang et al. 2008 **Abowd and Dey 1999 ***Schmidt-Belz 2003

Related workPublic displays *

• Small

• Eye-level

Context-adaptive**

• Location, identity, activity, time

• Advantageous***

*Huang et al. 2008 **Abowd and Dey 1999 ***Schmidt-Belz 2003

Related workPublic displays *

• Small

• Eye-level

Context-adaptive**

• Location, identity, activity, time

• Advantageous***

*Huang et al. 2008 **Abowd and Dey 1999 ***Schmidt-Belz 2003

Related workPublic displays *

• Small

• Eye-level

Context-adaptive**

• Location, identity, activity, time

• Advantageous***

*Huang et al. 2008 **Abowd and Dey 1999 ***Schmidt-Belz 2003

Related workISO 13407 HCD design for interactive systems

Related work

*Nivala 2005

Designers of digital maps would benefit from using HCD more often.*

Related work

*Nivala 2005

Designers of digital maps would benefit from using HCD more often.*

Related work

*Nivala 2005

Designers of digital maps would benefit from using HCD more often.*

Related work

*Erdelez 1999

Related workInformation encountering*

*Erdelez 1999

Related workInformation encountering*

• Information science concept

*Erdelez 1999

Related workInformation encountering*

• Information science concept

• occurs as part of a routine activity not performed to obtain information

*Erdelez 1999

Related workInformation encountering*

• Information science concept

• occurs as part of a routine activity not performed to obtain information

• useful information positive encounters

*Erdelez 1999

Initial user study

Purpose determine the types of maps pedestrians would like to have displayed and the effect of context on map content

Initial user study

Scenario Wochenmarkt at the Domplatz Saturday morning

Initial user study

Method short informal digitally recorded interviews with 11 subjects, aged 21-56

Initial user studyResults

• No one needed or would need a map.

• Positive response.

• Everyone suggested a tourist map.

• People liked the idea of a map of pubs with happy hours, a map of football games, and a map of pharmacies.

• Little feedback on temporal adaptation.

Prototype development

9 maps, a range of context adaptation

Location global continental city neighborhood

Time static weekly daily hourly

• Temporally static• City scale

• Neighborhood scale• Temporally adaptive:

hourly, daily, weekly

• Global scale• Temporally

adaptive: hourly, weekly

• Continent scale• Daily adaptation

• Global scale• Static

Second user study

Purpose elicit user-feedback on prototypes

Second user study

Part I Saturday, Domplatz showed pedestrians maps in stack, brought to phone booth, voice recorded; 7 interviewees aged 21-35

Second user study Part I Results

0

2

4

6

8

landm

arks

sculp

ture

s

shop

ping

phar

macies

pu

bs

footb

all

world

news

flight

s

veg.

impo

rts

Surv

ey P

artic

ipan

ts

Would look atFavorite

Second user study

Part II Saturday morning, Wednesday morning, Friday evening; participants choose favorites from maps taped in phone booth; 30 people

Second user study

0

3

6

9

12

landm

arks

sculp

ture

s

shop

ping

phar

macies

pu

bs

footb

all

world

news

flight

s

veg.

impo

rts

Part

icip

ants

who

wou

ld u

se t

he m

ap

Satuday morningWednesday morningFriday evening

Part II Results

Second user studyPart I & Part II Discussion

• On-the-spot interviews reduced the number of maps considered useful.

• The favorites chosen - shopping, pubs, and world news - were the same in both studies.

• The favorite maps were context-adaptive:location neighborhood scaletime hourly/daily/weekly updates

• Clear preference for certain maps at certain times.

Requirement recommendations

• Practical content for a small screen.

• Present information that is novel, interesting, or useful enough to encourage future interaction.

• Not all novel, interesting, or useful information belongs on a map.

Requirement recommendationsThe most appealing map content adapts to context:

• large-scale map with user’s location

• presenting information when it is most relevant to the user

• possible to adapt the content to identity

Conclusions

• UCD -

• Paper prototypes -

• Various interview techniques -

• Context-adaptive maps -

Conclusions

• UCD -

• Paper prototypes -

• Various interview techniques -

• Context-adaptive maps -

• UCD - Good!

Conclusions

• UCD -

• Paper prototypes -

• Various interview techniques -

• Context-adaptive maps -

• UCD - Good!

• Paper prototypes - Good!

Conclusions

• UCD -

• Paper prototypes -

• Various interview techniques -

• Context-adaptive maps -

• UCD - Good!

• Paper prototypes - Good!

• Various interview techniques - Good!

Conclusions

• UCD - Good!

• Paper prototypes - Good!

• Various interview techniques - Good!

• Context-adaptive maps - Good!

Thank you.

Questions?