Development of a TV Reception Navigation

System Personalized with Viewing Habits

Tadashi Isobe, Masao Fujiwara, Hiroyuki Kaneta,

Toshiya Morita, and Noriyoshi Uratani

bearhsu2005/11/17

IEEE Transactions on Consumer Electronics, Vol. 51, No. 2, MAY 2005

Index

Introduction TV Watching Situation Today TV Navigation System Evaluation Tests Results & Assessment Conclusion

Introduction

motivation Investigate viewers’ selection behavior Find out a good selection assisting

method Propose a navigation system for

viewers according to their habits & occasional feelings

4 Main Facilities

Channel presetting Program Recommendation Program sorting Program retrieval

Index

Introduction TV Watching Situation Today TV Navigation System Evaluation Tests Results & Assessment Conclusion

Some Statistics

Since 1974, people watch TV 3.5hrs/day on avg. Recently increase to 4:05/day

Purposely chosen Diversion viewing TV as an environmental furniture

For a viewing individual

Favorite programs So separate among individuals Hardly explained by sex, age,

occupation… TV navigation system

Detects viewers’ taste from history Handles not only concentrated viewing Casual & diverted ways but also

Index

Introduction TV Watching Situation Today TV Navigation System Evaluation Tests Results & Assessment Conclusion

Program selection methods

Concentratedviewing

Viewing while doingSomething else

Diversion viewing

Doing somethingWith TV on

System ConfigurationGraphic Display

Controller

Channel Presetting “Usual one please”

CH(service id)

CPS Table(Channel preset Table)

D, t, u

Service id

D:holiday/weekdays

t:time

u:user id

Program Recommendation “I’ll leave it to you” m= r

ie

F= r1 r2 r3 … r256i1 i2 i3 … i256e1 e2 e3 … e256

g=(g1 g2 g3 … g256) Genre specifying vector

Program Recommendation (cont)’

RS(t)=mT hu(t) Recommendation Score hu(t)= Ru(t)

Iu(t)Eu(t)

m=Fg RS(t)=mT hu(t)PresentPrograms, g

Top 7 programsat RS

Program sorting Viewers divided into 8 groups

“Laughter-/stimulation-seeker” “Diversion seeking zapper” “Romance-/fiction-oriented” “Trendconscious TV devotee” “Easy going interest-seeker” “Barely interested” “Wholesome and practical type” “News-/culture-oriented”.

Program sorting

IS=Gg Interest Score

G=(G1u G2u G3u … G256u)

IS=Gg

Program retrieval Data in SI words List up keywords

in alphabetical order Viewer chooses 1 keyword from list Enter retrieval algorithm list appropriate programs

most currently broadcasted first Viewer can also use a keyword

registered in PF

Program retrieval (cont’)

Presentprograms

Segmentinto words

Proposedkeywords

Programretrieval

Emphasis on personalization

Recommendation A low RS program chosenhu(t) updated

Program sorting IGF table updated Once the IGF table is changed, it’s more

personalized to viewer Retrieval

Update both hu(t) & IGF table

Index

Introduction TV Watching Situation Today TV Navigation System Evaluation Tests Results & Assessment Conclusion

Program data & Evaluators

Tokyo, 13 days in 2004 1 Navigation system/ 1 Evaluator 38 evaluators in total

Older, avg.64 Younger, avg.29

Some discoveries

Mainly 2 kinds of viewing types News-/culture-oriented Diversion-seeking zapper

In the morning, Information’s needed

Test procedures/ result

General evaluation Program recommendation Program sorting Evaluators’ impression

General evaluation

morning afternoon evening

Some discoveries

“Channel presetting” is more needed in the morning

“Retrieve” Afternoon / evening

“Recommendation” & “Sorting” On a medium necessity

recommendation

Some discoveries

Morning P better than A

Afternoon & evening Older

P better than A Younger

No significant difference

Program sorting

Some discoveries

Personalizing effect Still make some effect But less than “Recommendation”

Evaluators’ impression

Efficient vs. Rich/Enjoyable

R: Recommend A: all 4 S: Sorting

Y: younger O: older

Index

Introduction TV Watching Situation Today TV Navigation System Evaluation Tests Results & Assessment Conclusion

Results & Assessment

None of the methods was unnecessary “Channel presetting” => morning “Program retrieval” => evening “informative” is needed more

In the morning Older => efficient Younger => efficient & Rich/Enjoyable

Index

Introduction TV Watching Situation Today TV Navigation System Evaluation Tests Results & Assessment Conclusion

conclusion Developed a TV reception navigation

system easy to use for all generations of viewers

Cope with diversion viewing NOWADAYS Incorporates recommending facility None of the 4 facilities is unimportant

Further more… Optimization of these algorithms would be a

more important task

The End~