ARG WI2 No.14, 2019

ARGWI2 No.14, 2019
WI2-2019-12ଟ࣍‫ྻܥ࣌ݩ‬σʔλʹର͢ΔධՁࢦඪ‫ܗ‬੒ͷͨΊͷࢹ֮త෼ੳϑϨʔϜϫʔΫͷఏҊߴ‫† ྰ ݟ‬, aߴؒ ߁࢙ †, b† ट౎େֶ౦‫ ژ‬γεςϜσβΠϯ‫ڀݚ‬Պa) takami-rei@ed.tmu.ac.jp b) ytakama@tmu.ac.jp
֓ཁ ຊߘͰ͸, ଟ࣍‫ྻܥ࣌ݩ‬σʔλʹର͢Δࢦඪ‫ܗ‬੒ͷࢧԉΛ໨తͱͨ͠ࢹ֮త෼ੳϑϨʔϜϫʔΫΛఏҊ͢ΔɽධՁࢦඪ͸ɼσʔλʹ‫ͮ͘ج‬ҙࢥܾఆɼ‫ػ‬ցֶशͷͨΊͷϥϕϧ෇͚ͳͲʹ͓͍ͯॏཁͳ໾ׂΛՌͨ͢ɽࢦඪͷ‫ܗ‬੒͸υϝΠϯઐ໳Ոͷࢹ֮త෼ੳΛ௨ͯ͠ߦΘΕΔͷ͕Ұൠత͕ͩ, ଟ࣍‫ྻܥ࣌ݩ‬σʔλͷ৔߹, ෼ੳऀ͕࣍‫ݮ࡟ݩ‬౳ͷΞϧΰϦζϜ΍ύϥϝʔλΛཧղ͢Δ͜ͱ͕ࠔ೉Ͱ͋Δ. ͦͷͨΊ, ՄࢹԽٕज़ͱઐ໳Ոͷ஌ࣝΛ༥߹͢ΔͨΊͷ, ૬‫ޓ‬ओಋ‫ܕ‬ΠϯλϑΣʔεͷಋೖ͕‫ظ‬଴͞ΕΔɽఏҊ͢ΔϑϨʔϜϫʔΫͰ͸ɼଐੑ஋ͷॏΈ෇͖ઢ‫ܗ‬࿨ͷ‫Ͱܗ‬, ࣌఺͝ͱʹσʔλͷධՁࢦඪΛ૬‫ޓ‬ओಋ‫ܕ‬ΠϯλϥΫγϣϯʹΑΓ‫ܗ‬੒͢ΔɽఏҊϑϨʔϜϫʔΫʹ‫͖ͮج‬ΠϯλϑΣʔεΛ࣮૷͠ɼ࣮σʔλʹద༻ͨ͠ྫΛࣔ͢.
Ωʔϫʔυ ࣌‫ྻܥ‬σʔλ, ࢹ֮త෼ੳ, ૬‫ޓ‬ओಋ‫ܕ‬ΠϯλϑΣʔε, ৘ใՄࢹԽΠϯλϑΣʔε, ධՁࢦඪ1ϯλϑΣʔε [1] ͕༻͍ΒΕΔ. ͔͠͠, લॲཧͱͯ͠͸͡Ίʹଟ࣍‫ྻܥ࣌ݩ‬σʔλ͸, Web αʔϏεͷϩάσʔλ΍༻͍ΒΕΔΫϥελϦϯάΞϧΰϦζϜ΍, ࣍‫ݮ࡟ݩ‬खҩྍ, εϙʔπͳͲ, ଟ༷ͳ෼໺Ͱऩूɾ෼ੳର৅ͱ͠๏౳ͷഎ‫ʹޙ‬ଘࡏ͢ΔϞσϧ΍ύϥϝʔλௐ੔ͷࠔ೉ੑͯී‫͍ͯ͠ٴ‬Δ. ͜ΕΒͷҙࢥܾఆ΍‫ػ‬ցֶश΁ͷ‫༻׆‬͕ࢦఠ͞Ε͍ͯΔ [2]. ͜ͷ໰୊ʹରॲ͢ΔͨΊ, γεςʹ͸, ֎Ε஋ͷܾఆʹ͓͍ͯॏࢹ͢Δଐੑ஋Λܾఆ͢ΔϜͷ‫ॲࢉܭ‬ཧೳྗͱϢʔβͷೝ஌ೳྗΛ૊Έ߹Θͤ, ରͨΊͷධՁ‫ج‬४΍, Ϋϥελؒ‫཭ڑ‬ͷΑ͏ͳධՁࢦඪ͕৅ͷ࡞‫ۀ‬Λޮ཰తʹߦ͏૬‫ޓ‬ओಋ‫ܕ‬ΠϯλϑΣʔε͕ఏॏཁͱͳΔ. ධՁࢦඪ͸, ֤σʔλυϝΠϯͷઐ໳Ո͕Ҋ͞Ε͍ͯΔ [3]. தͰ΋, ՄࢹԽΦϒδΣΫτ΁ͷ௚઀ର৅σʔλʹؔ͢Δ஌ࣝʹ‫ܾ͖ͮج‬ఆ͢Δ. σʔλ͕༗ૢ࡞ͷҙਤΛγεςϜଆ͕ղऍͯ͠ΞϧΰϦζϜͷύϥ͢ΔಛੑΛઐ໳Ո͕ཧղ͢Δඞཁͷ͋Δࢦඪ‫ܗ‬੒Λࢧԉϝʔλௐ੔Λߦ͍, ࠶ॲཧ݁ՌΛϢʔβʹϑΟʔυόο͢ΔͨΊ, ࢹ֮త෼ੳΠϯλϑΣʔεͷ༗ޮੑ͕‫ظ‬଴͞Ϋ͢Δ Semantic Interaction ͷίϯηϓτ͕ఏҊ͞ΕͯΕΔ. ͔͠͠ɼࢦඪ‫ܗ‬੒ࢧԉΛ໌ࣔతͳ໨తͱͨ͠Πϯ

͍Δ [4]. ͜ΕʹΑͬͯ, Ϣʔβ͸ࣗ਎ͷυϝΠϯ஌ࣝΛλϑΣʔεͷ‫ڀݚ‬͸͜Ε·ͰߦΘΕ͍ͯͳ͍.

ՄࢹԽʹ൓ө͢Δ‫Ͱࣜܗ‬ύϥϝʔλௐ੔Λߦ͑Δ.

ຊߘͰ͸, ଟ࣍‫ྻܥ࣌ݩ‬σʔλͷධՁࢦඪ‫ܗ‬੒Λ, ௚઀ຊߘͰѻ͏ଟ࣍‫ྻܥ࣌ݩ‬σʔλಛ༗ͷ໰୊ͱͯ͠, Πૢ࡞ʹΑΓࢧԉ͢Δࢹ֮త෼ੳϑϨʔϜϫʔΫΛఏҊ͢ϯλϥΫγϣϯͷෳࡶԽʹ൐͏Ϣʔβͷࠞཚ΍, ՄࢹԽΔ. ಉҰ໨తͰ΋࣌఺ຖʹҟͳΔࢦඪ͕‫ܗ‬੒͞Ε͏Δ͜ख๏ؒͷτϨʔυΦϑ͕‫͛ڍ‬ΒΕΔɽ͜ΕΒͷ໰୊ʹରͱΛ૝ఆ͠, ΞχϝʔγϣϯͰ࣌‫ྻܥ‬ੑΛද‫ࢄͨ͠ݱ‬෍͠, ࣌‫ྻܥ‬σʔλͷ‫੻ي‬ද‫ʹݱ‬ΑΔࢹ֮త܏޲ͷՄࢹԽਤ΁ͷ௚઀ૢ࡞ʹ‫͖ͮج‬, ࣌఺ຖʹҟͳΔධՁࢦඪΛ‫ܗ‬΍, ತแද‫ʹݱ‬ΑΔσʔλͷάϧʔϐϯάΛ༻͍ͯࢹ֮

੒͢Δ. ࢦඪͷ‫ܗ‬ଶͱͯ͠, ଐੑ஋ͷॏΈ෇͖ઢ‫ܗ‬࿨Λత෼ੳΛࢧԉ͢ΔΠϯλϑΣʔε͕ఏҊ͞Ε͍ͯΔ [5].

૝ఆ͢Δ. ͜ͷ‫ܗ‬ଶ͸ղऍ༰қੑʹ༏Ε, ओ੒෼෼ੳͳ͔͠͠, ଟ࣍‫ݩ‬σʔλ΁ͷରԠ΍, Semantic InteractionͲͷ࣍‫ݮ࡟ݩ‬ख๏ͱͷ਌࿨ੑ͕ߴ͍ͱ͍ͬͨར఺͕͋Δ.

ʹΑΔυϝΠϯ஌ࣝͷ൓ө͸ߟྀ͞Ε͍ͯͳ͍.

ͦͯ͠, ఏҊϑϨʔϜϫʔΫΛࢹ֮త෼ੳΠϯλϑΣʔ2.2ධՁࢦඪ‫ܗ‬੒ຊߘͰ͸, Ϣʔβ͕ఆٛͨ͠‫ج‬४ʹରͯ͠, ର৅σʔεͱ࣮ͯ͠૷͠, ࣮σʔλΛ༻͍ͨ෼ੳࣄྫΛࣔ͢.

λ͕Ͳͷఔ౓ʠ ॏཁ ʡ͔Λ֤ଐੑ஋ͷ૊੒Ͱද‫ͨ͠ݱ‬΋2ؔ࿈‫ڀݚ‬

2.1

ͷΛධՁࢦඪͱఆٛ͢Δ. ࢹ֮త෼ੳΛ௨ͯ͡ࢦඪ‫ܗ‬੒Λߦ͏ͨΊʹ͸, Ϣʔβ͸ՄࢹԽʹӨ‫͢ڹ‬Δύϥϝʔλࢹ֮త෼ੳυϝΠϯઐ໳Ո͸෼ੳର৅σʔλʹؔ͢Δ஌ࣝΛ࣋ͭΛௐ੔͠ͳ͕Β, ‫ج‬४ͱͷҰக౓Λओ‫؍‬తʹ൑அ͠, ઴͕, ඞͣ͠΋σʔλ෼ੳʹৄ͘͠͸ͳ͍. ͦͷͨΊ, γਐతʹࢦඪΛߏங͢Δඞཁ͕͋Δ. ଟ࣍‫ݩ‬σʔλʹର͢εςϜଆ͕σʔλΛՄࢹԽ͢Δ͜ͱͰ, Ϣʔβͷࢹ֮తΔύϥϝʔλௐ੔ͷࢧԉྫͱͯ͠, Kim Β͸, ࢦఆͨ͠ͳೝ஌ೳྗΛ‫ͨ͠༻׆‬ಎ࡯‫ܗ‬੒Λࢧԉ͢Δࢹ֮త෼ੳΠΦϒδΣΫτ͕‫ڧ‬ௐ͞ΕΔΑ͏ʹ, ઢ‫݁ݮ࡟ݩ࣍ܗ‬Ռͷ

Copyright is held by the author(s).
The article has been published without reviewing.

֤ଐੑͷॏΈΛௐ੔͢ΔΠϯλϑΣʔε InterAxis Λఏ- 51 -

WebWeb䜲䞁䝔䝸䝆䜵䞁䝇䛸䜲䞁䝍䝷䜽䝅䝵䞁◊✲఍ண✏㞟ΠϯςϦδΣϯεͱΠϯλϥΫγϣϯ‫ڀݚ‬ձ༧ߘूα, ω ʹΑΓఆٛ͞ΕΔ (ਤ 1(a)). α, ω ͸ࢄ෍ਤͷ 2 ࣠ʹ͍ͭͯมߋՄೳͳͨΊ, ͦΕΒΛ্෇͖จࣈ X, Y ͷ

1 … ͍ͣΕ͔Ͱද͍ͯ͠Δ. dτ n ͷ X, Y ࣠ʹର͢Δύϥϝʔλ͸ͦΕͧΕ, ατXn , ατYn Ͱද‫͞ݱ‬ΕΔ. ω ͸શ࣌‫ܥ‬(1) ྻσʔλʹ‫ڞ‬௨Ͱ͋Γ, m ൪໨ͷଐੑʹରԠ͢Δ X, Y࣠ʹ͓͚Δύϥϝʔλ͸ ωτXm , ωτYm Ͱද͞ΕΔ.

α ∈ R2×N ×T : dτ n ͷࢄ෍ਤ্ʹ͓͚Δ‫ڧ‬ௐ౓߹(a) ͍Λද‫͢ݱ‬ΔҠಈ౓ (όΠΞε).

(2) (b)  ω ∈ R2×M ×T : ౤Ө࣠΁ͷ‫د‬༩౓Λఆٛ͢Δ֤ଐੑͷ܎਺.

ਤ 1 ఏҊΠϯλϑΣʔεͷ෼ੳύϥϝʔλҊ͍ͯ͠Δ [6]. Wall Β͸, ϥϯΩϯά݁ՌͷςʔϒϧΛXτ nฒͼସ͑Δૢ࡞ʹ‫͖ͮج‬, ϥϯΩϯάͷ࠶ֶशΛߦ͏Π=Mdτ nm ωτXm + ατXn

(1)dτ nm ωτYm + ατYn(2)m=1ϯλϑΣʔε Podium ΛఏҊ͍ͯ͠Δ [7]. ͔͠͠, ࣌‫ܥ‬Yτ nྻσʔλ͸ՄࢹԽ͢Δࡍʹ࣌ؒతมԽͷද‫ݱ‬ख๏ͳͲͷ=M
m=1ଟ͘ͷߟྀ͢΂͖ಛੑΛ࣋ͭ [8] ্, ͦͷධՁࢦඪ͸σʔλͷप‫ظ‬ੑ΍࣌఺ʹΑΔ܏޲ͷҧ͍Λߟྀ͢Δ΂͖Ͱ͋

3.2Δ. ͦͷͨΊ, ্ड़ͷ‫ط‬ଘ‫ڀݚ‬Λͦͷ··࣌‫ྻܥ‬σʔλධՁࢦඪఏҊϑϨʔϜϫʔΫʹ͓͚ΔධՁࢦඪ͸ύϥϝʔλ ωʹର͠ద༻͢Δ͜ͱ͸ࠔ೉ͱߟ͑Δ.
ࢦඪ‫ܗ‬੒Λ໌ࣔతʹࢧԉ͢ΔͨΊͷऔΓ૊Έͱͯ͠,ʹରԠ͢Δ. ଐੑ஋ͷઢ‫ʹ߹݁ܗ‬ΑΔࢦඪ͸, σʔλͷWeb αʔϏεͷϢʔβߦಈʹର͢ΔධՁࢦඪߏங͕‫ڀݚ‬ඇઢ‫ܗ‬ੑΛද‫͍ͳ͖Ͱݱ‬໰୊Λ༗͢Δ͕, ຊߘͰ͸݁Ռ͞Ε͍ͯΔ [9]. ͜ͷ‫Ͱڀݚ‬͸, ಛఆͷૢ࡞ΛߦͬͨϢʔͷղऍՄೳੑ΍‫ࢉܭ‬ίετΛ༏ઌͯ͠ઢ‫߹݁ܗ‬Λ࠾༻͢βͷϓϩϑΟʔϧͳͲΛ‫ؚ‬Ήଟ͘ͷಛ௃ྔ͔Β, ෼ྨʹ

Δ. ·ͨ, ໺‫͚͓ʹٿ‬ΔηΠόʔϝτϦΫε౳ʹ͓͚Δ༗ޮͳ΋ͷΛ‫ػ‬ցֶशʹΑΓநग़͠, ධՁࢦඪͷߏ੒ཁ࢖༻ྫ͔Β, ઢ‫ܗ‬࿨ʹ‫ࢦͮ͘ج‬ඪͷ‫ܗ‬੒͸े෼ͳ࣮༻ੑૉͷީิͱͯ͠ఏࣔ͢Δ͜ͱͰࢦඪ‫ܗ‬੒Λࢧԉ͍ͯ͠Δ.

͕͋Δͱ൑அ͢Δ. ࣌‫ྻܥ‬σʔλͷධՁࢦඪ͸, ‫ق‬અͳ͔͠͠, ࠷ऴతͳࢦඪʹ༻͍Δಛ௃ྔͷબఆ΍, ͦΕΒͲͷप‫ظ‬ੑ΍, ಛఆ࣌఺Ͱͷ܏޲ͷҧ͍Λߟྀ͢Δඞཁͷ૊੒ʹΑΔࢦඪ‫ܗ‬੒͸ઐ໳ՈʹΑΓߦΘΕΔͨΊ, ࢦ͕͋Δͱߟ͑, ࣌఺ຖʹ ωt Λमਖ਼Մೳʹ͢Δ.

ඪ‫ܗ‬੒ͷͨΊͷ୳ࡧత෼ੳΛࢧԉ͢Δ΋ͷͰ͸ͳ͍.

3.3

3Bernerd Β͸, ΦϒδΣΫτؒͷྨࣅ౓ͷมߋର৅ΛՄࢹԽը໘ʹ͓͚ΔઈରతҐஔ (absolute), ΦϒδΣΫఏҊϑϨʔϜϫʔΫࢦඪͷมߋϑϨʔϜϫʔΫͷద༻ର৅ͱͯ͠, ‫ط‬ଘ͔ͭ༗‫ݶ‬ͷτपғͷ੍໿൒‫( ܘ‬orbital), ΦϒδΣΫτؒͷ૬ରతͳଟ࣍‫ྻܥ࣌ݩ‬σʔλΛ૝ఆ͢Δ. ର৅σʔλ dτ nm ͸Ґஔؔ܎ (relative) ͷ 3 ͭʹ෼ྨ͍ͯ͠Δ [10]. ఏҊϑN (n ∈ {1, 2, ..., N }) ‫ݸ‬ͷ M (m ∈ {1, 2, ..., M }) ࣍‫ݩ‬ϨʔϜϫʔΫͰ͸, λεΫ΁ͷଥ౰ੑ΍, ୯७ԽͷͨΊ,ϕΫτϧͰߏ੒͞Ε, ࣌఺ τ ∈ {1, 2, ..., T } ຖʹ཭ࢄతα ͱ ω ͷมߋʹରԠ͢ΔҎԼͷ 2 ͭͷૢ࡞Λࢄ෍ਤ΁ʹ‫ه‬࿥͞ΕΔ. ͜ͷσʔλΛ, τ ຖʹ 2 ࣍‫ݮ࡟ݩ࣍ʹݩ‬ͷϢʔβҙਤͷද‫ݱ‬ख๏ͱͯ͠૝ఆ͢Δ (ਤ 1(b)).

্ͨ͠Ͱࢄ෍ਤͱͯ͠ՄࢹԽ͢Δ. Ϣʔβ͸ࢄ෍ਤ্ͷΦϒδΣΫτΛ௚઀ૢ࡞͠, γεςϜ͸ૢ࡞಺༰ʹ‫ͮج‬͖౤Ө࣠ʹ͓͚Δ֤ଐੑͷ‫د‬༩౓߹͍Λௐ੔͠, ࢄ෍ਤΛ࠶ඳը͢Δ. ·ͨ, ֤ଐੑͷ‫د‬༩౓߹͍Λࢦඪ΍ͦͷୟ͖୆ͱͯ͠໌ࣔతʹϑΟʔυόοΫ͢Δ. ͜ͷखॱΛ‫܁‬Γฦ͠, Ϣʔβ͸઴ਐతʹࢦඪΛߏஙͰ͖Δ.

3.1

ઈରతૢ࡞: ࢄ෍ਤͷ X, Y ࣠ʹର͢ΔઈରతͳҐஔࢦఆʹ‫ͮ͘ج‬, ౤Ө࣠ͷେ‫ہ‬తͳมߋΛߦ͏.
Ϣʔβ͕ࢄ෍ਤͷ X, Y ࣠΁ର৅ΦϒδΣΫτΛυϥοά&υϩοϓ͢Δͱ, γεςϜ͸౰֘ΦϒδΣΫτ͕౤Ө্࣠ͷυϩοϓҐஔ෇ۙʹ഑ஔ͞ΕΔΑ͏ʹ֤ଐੑͷ ω Λௐ੔͠, ௐ੔݁ՌΛϢʔβʹ෼ੳύϥϝʔλϑΟʔυόοΫ͢Δ.

ਤ 1 ʹ, ఏҊ͢ΔϑϨʔϜϫʔΫͷ෼ੳύϥϝʔλͱ, ͦΕΒΛ༻͍ͨ Semantic Interaction ͷ֓‫؍‬Λࣔ͢.

૬ରతૢ࡞: ࢄ෍ਤ಺Ͱͷ૬ରతͳҐஔؔ܎ͷมࢄ෍ਤ্Ͱͷ࣌‫ྻܥ‬σʔλ dτ n ∈ RM ͷ 2 ࣍‫࠲ݩ‬ඪߋʹΑΔ, ౤Ө݁Ռͷ‫ॴہ‬తͳௐ੔Λߦ͏. ϢʔβPτ n = (Xτ n , Yτ n ) ͸, ࣜ (1)(2) ͷΑ͏ʹ, ύϥϝʔλ͕ࢄ෍ਤ಺ͷ೚ҙͷҐஔʹΦϒδΣΫτΛυϥο

- 52 -

Proceedings ofof ARG
ARG WI2
Proceedings
WI24.1୳ࡧϞʔυఏҊϑϨʔϜϫʔΫͰ͸Ξχϝʔγϣϯͷ࠶ੜ/੩ࢭ UIΛ୳ࡧϞʔυͱͯ͠ಋೖ͢Δ. ࠶ੜϞʔυͰ͸, ֤࣌఺ʹ͓͚Δ࣌‫ྻܥ‬σʔλͷࢄ෍ਤΛҰఆִؒͰΞχϝʔγϣϯ͠, ੩ࢭϞʔυͰ͸ಛఆͷ τ ʹࢄ෍ਤΛ‫ݻ‬ఆ͢Δ.
X, Y!"#$Ϣʔβ͸࠶ੜϞʔυʹ͓͚Δࢄ෍ਤͷΞχϝʔγϣϯ͔ΒಘΒΕΔࢹ֮త֓ཁʹ‫͖ͮج‬, ੩ࢭϞʔυʹ֤ͯΦϒδΣΫτͷৄࡉͳ୳ࡧΛߦ͍, ྆ϞʔυؒͷભҠΛ‫༻׆‬ ()

(a) ͯ͠෼ੳΛߦ͏ͱ૝ఆ͢Δ. ϢʔβΠϯλϥΫγϣϯͷ

(b) ղऍΛ୳ࡧϞʔυʹΑΓ෼‫ͤ͞ذ‬Δ͜ͱͰ, ֤Ϟʔυʹ͓͚Δ෼ੳߦಈʹదͨ͠ૢ࡞Λ࣮‫͢ݱ‬Δ.

ਤ 2 ఏҊΠϯλϑΣʔεͷը໘ߏ੒

4.2
:


(a)

ૢ࡞ର৅ΦϒδΣΫτ

υϥοά&υϩοϓ΍ΫϦοΫͳͲͷ௚઀ૢ࡞ର৅ͱ

(b)  ()ͳΔΦϒδΣΫτ͸, ҎԼͷ 3 छྨʹ෼ྨ͞ΕΔ.

(c)  ()σʔλ఺: σʔλ dτ n ͷࢄ෍ਤ্ͷ఺ Pτ n Λද

ਤ 3 ૢ࡞ର৅ΦϒδΣΫτ

͢. σʔλ఺ʹ 3.3 અͷΑ͏ͳ௚઀ૢ࡞Λߦ͏ͱ,ά&υϩοϓ͢Δͱ, γεςϜ͸౰֘ΦϒδΣΫτ

ύϥϝʔλ͸ରԠ͢Δ τ ʹ͍ͭͯͷΈௐ੔͞ΕΔ.

͕υϩοϓҐஔʹ഑ஔ͞ΕΔΑ͏ʹ α Λमਖ਼͢Δ.

‫੻ي‬: ਤ 3(a) ʹࣔ͢Α͏ͳ, P1n , P2n , ..., PT n Λ‫ۂ‬α ͸‫ݸ‬ʑͷσʔλ΁ͷόΠΞεͰ͋Γ, ࢦඪʹ൓ઢͰิ‫ͨ͠׬‬ද‫͋Ͱݱ‬Γ, ࢄ෍ਤ্ͷ఺ͷϚ΢εө͢Δʹ͸࠷దԽ‫Ͳͳࢉܭ‬Λ༻͍ͯ ω ʹؐ‫͢ݩ‬ΔΦʔόʔͰදࣔ͞ΕΔ. ‫੻ي‬ͷ֤ϊʔυΛΫϦοඞཁ͕͋Δ.

Ϋ͢Δͱ, ࠶ੜ࣌఺ʹରԠ͢Δ࣌఺΁ࢄ෍ਤ͕ߋ৽͞ΕΔ. ‫ʹ੻ي‬ରͯ͠௚઀ૢ࡞Λߦ͏ͱ, ύϥ྆ૢ࡞Λ‫܁‬Γฦ͠, υϝΠϯ஌ࣝʹ߹க͢Δࢄ෍ਤ͕ಘΒΕͨͱ͖ͷ ω ΛධՁࢦඪ, ͋Δ͍͸ͦͷୟ͖୆ͱ͠ϝʔλ͸‫ؚ͕੻ي‬Ήશͯͷ τ ʹ͍ͭͯௐ੔͞ΕΔ.

ͯར༻͢Δ.

ತแ: ΦϒδΣΫτͷू߹Λද͢. ࠶ੜϞʔυͰ

4͸ਤ 3(b) ͷΑ͏ͳ࠶ੜ࣌఺Ͱͷෳ਺σʔλͷತఏҊΠϯλϑΣʔεแ͕, ੩ࢭϞʔυͰ͸ਤ 3(c) ͷΑ͏ͳෳ਺σʔλఏҊϑϨʔϜϫʔΫͷ Web ΞϓϦέʔγϣϯͱͯ͠ͷ఺ͷ‫੻ي‬ͷತแ͕ඳը͞ΕΔ. ತแ͸ࢄ෍ਤ্ͷ࣮૷ྫΛਤ 2 ʹࣔ͢. ΞϓϦέʔγϣϯશମ͸ Ruby onσʔλ఺Λғ͏‫ۂ‬ઢͷඳըʹΑΓ࡞੒͞Ε, ϢʔRails 5 Λ, ՄࢹԽͱϑϩϯτΤϯυ෦෼͸ D3.js v5 ͱβ͸ͦͷ‫ܗ‬ঢ়͔Βෳ਺ΦϒδΣΫτؒͷؔ܎Λ೺

jQuery 3.3 Λ༻͍࣮ͯ૷͠, ύϥϝʔλௐ੔͸ Python
3 Ͱ࣮૷͞ΕͨίʔυΛ Flask1 Ͱ‫ͼݺ‬ग़ͯ͠ߦ͏. ݁ՌѲͰ͖Δ. ತแͷ௚઀ૢ࡞ʹ‫ͮ͘ج‬ύϥϝʔλௐ੔͸, ͦͷ಺෦ͷશΦϒδΣΫτʹద༻͞ΕΔ. ɹ͕ଐੑ஋ͷॏΈ෇͖ઢ‫݁ܗ‬࿨Ͱද͞ΕΔಛੑ΍, ‫ࢉܭ‬ίετͷ௿͞Λॏࢹͯ͠, ࣍‫ݮ࡟ݩ‬ख๏ʹ͸ओ੒෼෼ੳΛ5࠾༻ͨ͠. ఏҊΠϯλϑΣʔε͸, ࢄ෍ਤϏϡʔͱৄࡉ෼ੳࣄྫ෼ੳର৅ʹ͸, ϓϩ໺‫ٿ‬ψϧσʔλ2 ʹͯެ։͞ΕͯϏϡʔ͔Βߏ੒͞ΕΔ.

͍ͨ, ೔ຊϓϩ໺‫ٿ‬ͷύγϑΟοΫɾϦʔάʹॴଐ͢Δࢄ෍ਤϏϡʔ (ਤ 2(a)): ଟ࣍‫ྻܥ࣌ݩ‬σʔλͷࢦ໺खͷ 2017 ೥ͷଧܸ੒੷Λ༻͍Δ. γʔζϯશମͰ 80ఆ࣌఺ʹ͓͚Δ࣍‫݁ݮ࡟ݩ‬ՌΛ, Ξχϝʔγϣϯଧ੮Ҏ্ग़৔ͨ͠໺खΛબ୒͠ (N = 98), ຊྥଧ΍౪੍‫ޚ‬Մೳͳ 2 ࣍‫ࢄݩ‬෍ਤͰՄࢹԽ͢Δ. σʔλͷྥ਺ͳͲͷ੒੷Λଟ࣍‫ݩ‬ଐੑ (M = 11) ͱͯ͠, 15 ೔ؒ࣌‫ྻܥ‬త܏޲ʹؔ͢Δಎ࡯ΛಘΔͨΊʹ༻͍Δ.

ִͰαϯϓϦϯά (T = 12) ͨ͠σʔλΛ෼ੳʹ༻͍Δ.
ՄࢹԽ݁ՌΛਤ 4(a) ʹࣔ͢. ෼ੳऀ͸, ໺खͷγʔৄࡉϏϡʔ (ਤ 2(b)): ࢄ෍ਤϏϡʔ্Ͱબ୒͞ΕζϯΛ௨ͨ͠‫׆‬༂౓߹͍ͱଧܸλΠϓͷ෼ྨʹ‫ڵ‬ຯΛ࣋ͨΦϒδΣΫτͷଐੑ஋΍ϝλσʔλΛઢάϥϑͪ, ͦΕΒΛධՁ͢ΔࢦඪΛ࡞੒͍ͨ͠ͱߟ͑ͨ. ࠷ॳ΍ฒߦ࠲ඪͰදࣔ͢Δ. ࢄ෍ਤͰಘΒΕͨࢹ֮తʹ, ࠶ੜϞʔυʹͯࢄ෍ਤͷ܏޲Λௐ΂, ࣌఺ʹΑΒͣಎ࡯ͷ‫ͮ͘جʹূݕ‬Ծઆ‫ܗ‬੒Λߦ͏ͨΊʹ༻͍Δ.

தԝ෇ۙʹग़৔ճ਺͕গͳ͍બख, ӈଆʹ͸ଟ͍બख͕

1 http://ﬂask.pocoo.org/

2 2017/11/8 ެ։ऴྃ- 53 -WebWeb䜲䞁䝔䝸䝆䜵䞁䝇䛸䜲䞁䝍䝷䜽䝅䝵䞁◊✲఍ண✏㞟ΠϯςϦδΣϯεͱΠϯλϥΫγϣϯ‫ڀݚ‬ձ༧ߘूΛ෼฼ͱ͢Δ.

: :  Btype = 

(a) (b)⎧୯ଧ×2+౪ྥ਺×2+ࡾྥଧ×2−(࢛‫×ٿ‬2+ೋྥଧ+ຊྥଧ×3)⎪⎪⎪‫ن‬ఆଧ੮⎪⎪⎪⎨(γʔζϯલ൒)
୯ଧ×2+౪ྥ਺×2+ࡾྥଧ×3−(࢛‫ٿ‬+ೋྥଧ×2+ຊྥଧ×4)⎪⎪⎪ଧ੮⎪⎪⎪⎩(γʔζϯ‫ޙ‬൒)(3)6ਤ 4 ໺‫ٿ‬σʔλʹ͓͚Δ෼ੳࣄྫ͓ΘΓʹຊߘͰ͸, ࣌‫ྻܥ‬σʔλʹର͢ΔධՁࢦඪͷ‫ܗ‬੒Λࢧ෼෍͢Δ͜ͱΛ֬ೝͨ͠. ·ͨ, ӈ্ʹ͸ढ़଍޼ଧλΠԉ͢ΔͨΊͷࢹ֮త෼ੳϑϨʔϜϫʔΫΛఏҊͨ͠. ͦϓ (ଧ཰͕ߴ͘, ౪ྥ͕ଟ͍), ӈԼʹ͸‫ڧ‬ଧऀλΠϓ (ຊͯ͠, ࣮૷ͨ͠ΠϯλϑΣʔεΛ༻͍࣮ͨσʔλͷ෼ੳྥଧͳͲͷ௕ଧ͕ଟ͍) ͕ଟ͍܏޲Λ֬ೝͨ͠. ͜ΕΒࣄྫʹΑΓ, ఏҊϑϨʔϜϫʔΫ͓ΑͼγεςϜͷ༗ޮͷಎ࡯ʹ‫͖ͮج‬, ෼ੳऀ͸ X ࣠Λ໺खͷ‫׆‬༂౓߹͍, YੑΛࣔͨ͠. ࠓ‫ޙ‬͸, υϝΠϯઐ໳ՈʹΑΔέʔεελ࣠ΛଧܸλΠϓΛද͢ࢦඪͱͯ͠‫͢༻׆‬Δ͜ͱʹͨ͠.

σΟΛ௨ͯ͠, ϑϨʔϜϫʔΫͷఆੑతͳ༗ޮੑ‫ূݕ‬Λ࣍ʹ, ෼ੳऀ͸੩ࢭϞʔυͰৄࡉͳ୳ࡧΛߦ͍ͳ͕Β,ߦ͏ඞཁ͕͋Δ. ·ͨ, ଞͷ࣍‫ݮ࡟ݩ‬ख๏ʹ΋ରԠͰ͖ω Λमਖ਼ͨ͠. ྫͱͯ͠, ϕετφΠϯΛड৆͢ΔͳͲ,ΔΑ͏ʹ, ఏҊϑϨʔϜϫʔΫͷ֦ு΋‫ݕ‬౼͢Δ.

γʔζϯΛ௨ͯ͠‫׆‬༂͍ͯ͠Δͱ൑அͨ͠໺खͷάϧʔϓʹ͍ͭͯ࡞੒ͨ͠ತแʹઈରతૢ࡞Λߦ͍, X ࣠ͷେ͖͍ํʹͦΕΒͷ໺ख͕഑ஔ͞ΕΔΑ͏ʹ ω Λमਖ਼͠
ͨ. ·ͨ, ֤ଧܸλΠϓʹ֘౰͢Δͱ൑அͨ͠໺खͷάϧʔϓ͝ͱʹತแΛ࡞੒͠, ૬ରతૢ࡞Λ༻͍ͯͦΕΒ͕ Y ࣠ͷ্Լ୺ʹ഑ஔ͞ΕΔΑ͏ʹ α Λมߋͨ͠‫ޙ‬, ࢄ෍ਤϏϡʔ಺ͷ UI Λ༻͍ͯ໌ࣔతʹ α ͷมߋΛ ω ʹ൓өͨ͠.
ߋ৽‫ޙ‬ͷ ω (ਤ 4(b)) Λ֬ೝ͢Δͱ, X ࣠ʹ͓͚Δଧ੮਺͸γʔζϯং൫ͷํ͕ߴ͘ॏΈ෇͚͞Ε͍ͯΔͨΊ,γʔζϯશମͰ҆ఆͨ͠‫׆‬༂Λ͢ΔͨΊʹ͸ং൫͔Βࢼ߹ʹग़Δඞཁ͕͋Δͱղऍͨ͠. Y ࣠Ͱ͸, ୯ଧ΍ࡾྥଧ, ౪ྥ਺͕ߋ৽લΑΓ΋ϓϥεํ޲ʹߴ͘ॏΈ෇͚͞Ε͍ͯΔͨΊ. ढ़଍޼ଧλΠϓͷ໺खͷಛੑͱղऍͨ͠.
ೋྥଧ΍ຊྥଧ, ඃ࢛‫ٿ‬͸, ߋ৽લ‫ʹڞޙ‬ϚΠφεํ޲ʹॏΈ෇͚͞Ε͍ͯΔͨΊ, ‫ڧ‬ଧऀλΠϓͷಛੑͱղऍ
ͨ͠. ·ͨ, ω Y ͷ࣌ؒతมԽʹؔͯ͠, ࢛‫ٿ‬͸γʔζϯલ൒ͷ΄͏͕ߴ͘ॏΈ෇͚͞ΕΔ܏޲͕֬ೝͰ͖ͨ.
ࢦඪͷୟ͖୆ͱͳΔύϥϝʔλ ω ͷಛੑͱυϝΠϯ஌ࣝͷରԠΛ֬ೝ্ͨ͠Ͱ, ࠷ऴతʹߏங͢ΔࢦඪΛ‫ݕ‬౼ͨ͠. ྫ͑͹, ैདྷͷྥଧ਺3 ΍ग़ྥ཰4 ͷ‫ࣜࢉܭ‬Λࢀߟʹ, ໺खͷ‫׆‬༂౓߹͍Λઈର஋Ͱ, ಛੑΛූ߸Ͱද‫ݱ‬͢Δࣜ (3) ͷΑ͏ͳࢦඪ Btype Λ࡞੒ͨ͠. ෼ࢠʹ࠾༻ͨ͠ଐੑͱॏΈ͸ Y ͔࣠ΒಘΒΕͨ஌‫͍͍ͯͮجʹݟ‬Δ. ·ͨ, X ͔࣠ΒಘΒΕͨ஌‫͖ͮجʹݟ‬, γʔζϯલ൒Ͱ͸‫ن‬ఆଧ੮਺Λ෼฼ͱͯ͠ଧ੮਺ͷܼग़౓߹͍ΛධՁ͠, ‫ޙ‬൒Ͱ͸௨ৗͷग़ྥ཰ͱಉ༷ʹ, ֤໺खͷଧ੮਺
3 ྥଧʹ୯ଧ × 1 + ೋྥଧ × 2 + ࡾྥଧ × 3 + ຊྥଧ × 44 ग़ྥ཰ = (҆ଧ + ࢛‫ ٿ‬+ ࢮ‫( ÷ )ٿ‬ଧ਺ + ࢛‫ ٿ‬+ ࢮ‫ ٿ‬+ ٘ඈ)- 54 -ࢀߟจ‫ݙ‬[1] D. A. Keim, F. Mansmann, J. Schneidewind et al.:Visual analytics: Scope and challenges, S. J. Simoﬀ,
M. H. Böhlen, A. Mazeika (eds.), Visual Data Mining, Springer, pp. 76-90, 2008.
[2] D. Sacha, M. Sedlmair, L. Zhang et al.: What you seeis what you can change: Human-centered machinelearning by interactive visualization, Neurocomputing, 2017.
[3] E. Horvitz: Principles of mixed-initiative user interfaces, Proc. of ACM SIGCHI Conference, pp.159166, 1999.
[4] A. Endert, P. Fiaux and C. North: Semantic interaction for visual text analytics, Proc. of ACM SIGCHIConference, pp. 473-482, 2012.
[5] R. Takami and Y. Takama: Visual analytics interface for time series data based on trajectory manipulation, Proc. of the IEEE/WIC/ACM International Conference on Web Intelligence 2018 (WI ʟ18),
pp.342-347, 2018.
[6] H. Kim, J. Choo, H. Park, and A. Endert: InterAxis:Steering scatterplot axes via observation-level interaction, IEEE Trans. on Visualization and Computer
Graphics, vol.22, no.1, pp.131-140, 2016.
[7] E. Wall, S. Das, R. Chawla et al.: Podium: Rankingdata using mixed-initiative visual analytics, IEEETrans. on visualization and computer graphics, Vol.
24, No. 1, pp. 288-297, 2018.
[8] W. Aigner, S. Miksch,W. Müller et al.: Visualizingtime-oriented data - a systematic view, Computers& Graphics, vol.31, no.3, pp.401-409, 2007.
[9] A. C. Chen and X. Fu: Data + intuition: A hybrid
approach to developing product north star metrics,
Companion Proc. of WWW Conference pp. 617-625,
2017.
[10] J. Bernard, D. Sessler, T. Ruppert, et al.: User-based
visual-interactive similarity deﬁnition for mixed data
objects - concept and ﬁrst implementation, Proc. of
WSCG Conference, pp.329-338, 2014.