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没入環境での仮想画面への視距離が及ぼすクレペリン作業への影響

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(1)

没入環境での仮想画面への視距離が及ぼすクレペリ

ン作業への影響

著者

石原 真紀夫, 石原 由紀夫

雑誌名

福岡工業大学総合研究機構研究所所報

3

ページ

29-33

発行年

2020-12-25

URL

http://hdl.handle.net/11478/00001585

(2)

ἐධ⎔ቃ࡛ࡢ௬᝿⏬㠃࡬ࡢど㊥㞳ࡀཬࡰࡍࢡࣞ࣌ࣜࣥసᴗ࡬ࡢᙳ㡪





▼ཎ ┿⣖ኵ㸦᝟ሗᕤᏛ㒊᝟ሗᕤᏛ⛉㸧

 ▼ཎ ⏤⣖ኵ㸦ᓥ᰿኱Ꮫ◊✲Ꮫ⾡᝟ሗᶵᵓ㸧

Effect of Viewing Distance to Virtual Screen on Kraepelin-task Performance in an Immersive

Environment

ISHIHARA Makio㸦Department of Computer Science and Engineering, Faculty of Information Engineering㸧 ISHIHARA Yukio 㸦General Information Processing Center, Shimane University㸧

Abstract

This manuscript builds an HMD-based virtual screen system with the capability of adjustable viewing distance and conducts an experiment on a relation between viewing distance to the virtual screen upon Kraepelin-task performance. The Kraepelin-task is a calculation task of addition of a one-digit number to another for a definite period of time and subjects are asked to answer it as many and correctly as possible. The result implies that longer viewing distance would decrease wrong answers and improve accuracy of calculation, and it also implies that longer viewing distance would alleviate an amount of increase of physiological fatigue added during the calculation and make physical fatigue less severe except on eyes.

Keywords㸸Task Performance, Kraepelin Task, Viewing Distance, Virtual Display

 ࡲ࠼ࡀࡁ 9'7 ⑕ೃ⩌࡜ࡣ㛗᫬㛫࡟ࢃࡓࡿ㐣ᗘ࡞┠ࡢ㓞౑㸪࢜ࣇ࢕ࢫ ࣮࣡ࢡ࡟ࡼࡿ㤳ࡸ⫪ࡢ③ࡳ㸪༢ㄪ࡞ࡀࡽࡶㄗࡾࡢチࡉࢀ࡞ ࠸ᚰ⌮ⓗࢫࢺࣞࢫ࡞࡝」ྜⓗ࡞ᙳ㡪࠿ࡽᘬࡁ㉳ࡇࡉࢀࡿㅖ ⑕≧ࢆ࠸࠺㸬 9'7 ⑕ೃ⩌ࢆ㍍ῶࡍࡿࡓࡵ࡟㸪ࡇࢀࡲ࡛ᵝࠎࡣྲྀࡾ⤌ࡳࡀ ࡞ࡉࢀ࡚࠸ࡿ㸬᳜➉ ࡣ 9'7 సᴗ୰࡟࠾ࡅࡿ║⢭⑂ປࡢホ ౯᪉ἲࢆ㆟ㄽࡋ㸪▖Ꮝࡢ┤ᚄ࡜┠ࡢືࡁ㸪ࣇ࢛࣮࢝ࢫㄪᩚຊ ࢆྠ᫬࡟ィ ࡍࡿᶵჾࢆᵓ⠏ࡋ㸪║⢭⑂ປࡣ▖Ꮝࡢ┤ᚄ࡜ ࣇ࢛࣮࢝ࢫㄪ⠇ຊࡢ㛵ᩘ࡟ࡼࡾ⾲⌧ࡉࢀࡿࡇ࡜ࢆ♧ࡋ࡚࠸ ࡿ㸬∦ᒣࡽ ࡣࣃࢯࢥࣥ⏬㠃ୖ࡟⾲♧ࡉࢀࡿ࣮࢝ࣛࣃࢱ࣮ ࣥࡢసᴗຠ⋡࡜⑂ປ࡬ࡢᙳ㡪ࢆㄪᰝࡋ㸪ᩥᏐⰍ࡜⫼ᬒⰍ㛫 ࡢ㐺ṇ࡞ࢥࣥࢺࣛࢫࢺࡣࡼࡾ⑂ປࢆ࿴ࡽࡆࡿ㸪≉࡟ࡑࢀࡽ ࡢᙬᗘ࡟኱ࡁ࡞ᕪࡀ࡞࠸ሙྜࡣ㢧ⴭ࡛࠶ࡿࡇ࡜ࢆ♧ࡋ࡚࠸ ࡿ㸬ຍ⸨ࡽ ࡣ㸪㤳ࡸ⫪ࡢ③ࡳࢆ࿴ࡽࡆࡿࡓࡵࡢጼໃࣇ࢕ ࣮ࢻࣂࢵࢡࢿࢵࢡࣂࣥࢻࢆᵓ⠏ࡋ࡚࠸ࡿ㸬ࡇࡢࣂࣥࢻࡣ⦪ ࡜ᶓࡢఙࡧࢆ᳨ฟ࡛ࡁࡿ  ࡘࡢࢭࣥࢧ࣮ࢩ࣮ࢺ࠿ࡽ࡞ࡿ㸬 ࣮ࣘࢨࡣࢿࢵࢡࣂࣥࢻࢆ㤳࡟⿦╔ࡋ౑⏝ࡍࡿ㸬9'7 సᴗ୰࡟ ࣮ࣘࢨࡢጼໃࡀᔂࢀࡿ࡜㸪ࢭࣥࢧ࣮ࢩ࣮ࢺࡀࡇࢀࢆ᳨ฟࡋ㸪 ࣂࣥࢻࡣ࣮ࣘࢨ࡟㆙㡢ࢆ㬆ࡽࡍ㸬 ࡇࢀࡲ࡛࡟㸪ⴭ⪅ࡽࡣணഛᐇ㦂ࢆ㏻ࡋ࡚ど㊥㞳࡜✵㛫ㄆ ㆑⋡࡜ࡢ㛵ಀࢆ♧ࡍ⤖ᯝࢆᚓ࡚࠸ࡿ 㸬⿕㦂⪅ࡣࢹࢫࢡࢺࢵ ࣉ⎔ቃ࡟࠾࠸࡚㸪FP㸪FP ࡜ FP ࡢ  ✀㢮ࡢど㊥㞳࡟ ど㔝ゅࡀྠ⛬ᗘ࡜࡞ࡿࡼ࠺࡟  ࢖ࣥࢳ㸪 ࢖ࣥࢳ㸪 ࢖ ࣥࢳࡢ 3& ⏬㠃ࢆࡑࢀࡒࢀ㓄⨨ࡋࡓ≧ែ࡛୕ḟඖ㏞㊰ࢆゎࡃ సᴗࢆ⾜ࡗࡓ㸬ᐇ㦂⤖ᯝࡼࡾど㊥㞳ࡀ㛗ࡃ࡞ࡿ࡜✵㛫ㄆ㆑ ⋡ࡀྥୖࡋ㸪୕ḟඖ㏞㊰ࢆ᪩ࡃゎࡃࡇ࡜ࡀ࡛ࡁࡿࡇ࡜ࡀ♧ ၀ࡉࢀࡓ㸬ࡉࡽ࡟㸪ⴭ⪅ࡽࡣど㊥㞳ࡀ㛗࠸ሙྜ࡟ࣜࣛࢵࢡࢫ ຠᯝࡀࡳࡽࢀ㸪࣐࢘ࢫ᧯సࡢ⢭ᗘࡀྥୖࡍࡿࡇ࡜ࢆ᫂ࡽ࠿ ࡟ࡋࡓ 㸬ࡑࡇ࡛ࡣ㸪3& ⏬㠃࡬ࡢỈᖹど㔝ゅᗘ⠊ᅖ ᕥྑィ ࢆ  ᗘ㸦,62㸧㸪ど㊥㞳ࢆ P ࡜ P ࡢ  ㏻ࡾ࡟ タᐃࡋ㸪࣐࢘ࢫ᧯సࡢṇ☜ࡉ࡜㏿ᗘࢆィ ࡍࡿࢱࢵࣆࣥࢢ ᳨ᰝ࡜㸪ィ⟬సᴗࡢṇ☜ࡉ࡜㏿ᗘࢆィ ࡍࡿࢡ᳨ࣞ࣌ࣜࣥ ᰝࢆసᴗ㈇Ⲵ࡜ࡋ࡚⑂ປ࡟㛵ࡍࡿᐇ㦂ࢆ⾜ࡗࡓ㸬ᐇ㦂⤖ᯝ ࡼࡾ㸪ど㊥㞳ࡀ㛗࠸᪉ࡀㄗࢡࣜࢵࢡᩘࡣῶᑡࡋ㸪ィ⟬ࡢṇ⟅ ⋡ࡣᨵၿࡍࡿഴྥ࡟࠶ࡿࡇ࡜ࡀ♧ࡉࢀࡓ㸬 ᮏሗ࿌ࡣࡇࢀࡲ࡛ࡢᐇ㦂ᐇ⦼ࢆ࠺ࡅ㸪᭦࡟㛗࠸ど㊥㞳࡛ ࠶ࡿ P ࡸ P ࢆ᝿ᐃࡋ㸪+0' ࢆ⏝࠸ࡓ௬᝿ࢹ࢕ࢫࣉࣞ࢖ ࢩࢫࢸ࣒ࢆᵓ⠏ࡍࡿ㸬ࡑࡢୖ࡛㸪సᴗຠ⋡࡜ࡢ㛵ಀ࡟ࡘ࠸࡚ ᐇ㦂ࢆ⾜࠸㸪ࡑࡢ⤖ᯝ࡟ࡘ࠸࡚㏙࡭ࡿ㸬  ❶࡛௬᝿ࢹ࢕ࢫࣉࣞ࢖ࢩࢫࢸ࣒࡟ࡘ࠸࡚㏙࡭ࡿ㸬 ❶࡛ ᐇ㦂࡟ࡘ࠸࡚㏙࡭㸪 ❶࡛ࡑࡢ⤖ᯝࢆ♧ࡍ㸬 ❶࡛ᮏሗ࿌ࢆ ࡲ࡜ࡵࡿ㸬  +0' ࢆ⏝࠸ࡓ௬᝿ࢹ࢕ࢫࣉࣞ࢖ࢩࢫࢸ࣒ ᅗ  ࡣᮏࢩࢫࢸ࣒ࡢእほ࡛࠶ࡿ㸬ᮏࢩࢫࢸ࣒ࡣ +0'㸦+7& ♫ 9LYH3UR㸧࡜ࢹࣗ࢔ࣝ⏬㠃㸪࣍ࢫࢺ 3&㸦'HOO$OLHQZDUH㸧

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▼ཎ ┿⣖ኵ㸪▼ཎ ⏤⣖ኵ ࠿ࡽᵓᡂࡉࢀࡿ㸬+0' ࡜ࢹࣗ࢔ࣝ⏬㠃ࡣ࣍ࢫࢺ 3& ࡟᥋⥆ࡉ ࢀࡿ㸬࣍ࢫࢺ 3& ࡣ 8QLW\㸦I㸧ࢆ⏝࠸࡚௬᝿ୡ⏺ ࢆ⏕ᡂࡋ㸪ࢹࣗ࢔ࣝ⏬㠃ࡢᕥ⏬㠃ࢆ௬᝿ୡ⏺࡟タ⨨ࡉࢀࡿ ௬᝿ࢹ࢕ࢫࣉࣞ࢖࡬㌿㏦ࡍࡿ㸬ᅗ  ࡣ㸪+0' ࡟ࡼࡾ฼⏝⪅࡟ ᥦ♧ࡉࢀࡿ࢖࣓࣮ࢪࡢ୍౛࡛࠶ࡿ㸬ṇ㠃࡟㓄⨨ࡉࢀࡿ௬᝿ ࢹ࢕ࢫࣉࣞ࢖ࢆぢ࡞ࡀࡽ࣐࢘ࢫ᧯సࡸ࣮࣮࢟࣎ࢻ᧯సࢆ⾜ ࠺ࡇ࡜ࡀ࡛ࡁࡿ㸬ᅗࡢୗ᪉࡟ࡣ௬᝿ୡ⏺࡟෌⌧ࡉࢀࡓ 9LYH 3UR ࡢࢥࣥࢺ࣮ࣟࣛࡀ☜ㄆ࡛ࡁࡿ㸬ࡇࡢࢥࣥࢺ࣮ࣟࣛࡣᐇ✵ 㛫࡟Ꮡᅾࡍࡿᐇ≀࡜ྠᮇࡋ࡚ືࡃࡓࡵ㸪ᐇ≀ࢆぢࡎ࡜ࡶ᧯ సࡀྍ⬟࡛࠶ࡿ㸬฼⏝⪅ࡣࢥࣥࢺ࣮ࣟࣛࡢࢱࢵࢳࣃࢵࢻ࡟ ࡼࡾ㸪௬᝿ࢹ࢕ࢫࣉࣞ࢖ࢆ P ࠿ࡽ P ࡲ࡛ࡢど㊥㞳࡟ ⛣ືࡀ࡛ࡁࡿ㸬ࢱࢵࢳࣃࢵࢻࡢୖ㒊࡟ᣦࢆ⨨ࡃ࡜㸪௬᝿ࢹ࢕ ࢫࣉࣞ࢖ࡢど㊥㞳ࡣ㛗ࡃ࡞ࡾ㸪ୗ㒊࡟ᣦࢆ⨨ࡃ࡜ࡑࡢど㊥ 㞳ࡣ▷ࡃ࡞ࡿ㸬ࡲࡓ⌧≧࡛ࡣ㸪࣐࢘ࢫ࡜࣮࣮࢟࣎ࢻࡣ௬᝿ୡ ⏺࡟෌⌧ࡉࢀ࡞࠸ࡓࡵ㸪࠸ࡎࢀࡶ฼⏝㛤ጞ᫬࡟฼⏝⪅࡬ࡑ ࢀࡽࡢ఩⨨ࢆᡭࡢㄏᑟ࡞࡝࡛᱌ෆࡋ㸪฼⏝⪅ࡣࢱࢵࢳࢱ࢖ ࣆࣥࢢ࡞࡝࣐࢘ࢫࡸ࣮࣮࢟࣎ࢻࢆ┠どࡏࡎ࡟᧯సࡀ࡛ࡁࡿ ᚲせࡀ࠶ࡿ㸬 ᅗ ࢩࢫࢸ࣒ࡢᴫせ Fig. 1. Hardware setups.

 ᅗ +0' ࢖࣓࣮ࢪ

Fig. 2. Screenshot of the HMD view.

ᅗ  ࡣ௬᝿ࢹ࢕ࢫࣉࣞ࢖ࡢ㓄⨨࡟㛵ࡍࡿタィ࡛࠶ࡿ㸬ᕥ ᅗࡣୖ࠿ࡽぢࡓࡶࡢ࡛࠶ࡾ㸪ྑᅗࡣᶓ࠿ࡽぢࡓࡶࡢ࡛࠶ ࡿ㸬Ỉᖹど㔝ゅᗘ⠊ᅖ ᕥྑィ ࡣ  ᗘ㸦,62㸧࡛ ࠶ࡾ㸪௬᝿ࢹ࢕ࢫࣉࣞ࢖ࡢ࢔ࢫ࣌ࢡࢺẚࡣᶓ ⦪  ࡛࠶ ࡿ㸬ど㊥㞳ࡀ㛗ࡃ࡞ࡿ࡜㸪௬᝿ࢹ࢕ࢫࣉࣞ࢖ࡢ኱ࡁࡉࡣẚ ౛ࡋ࡚኱ࡁࡃ࡞ࡾ㸪฼⏝⪅࠿ࡽࡳࡓỈᖹど㔝ゅᗘ⠊ᅖ࡟ࡕ ࡻ࠺࡝཰ࡲࡿࡼ࠺࡟ㄪᩚࡉࢀࡿ㸬,62 ࡟ᚑ࠸௬᝿ࢹ࢕ ࢫࣉࣞ࢖ࡣ࣮ࣘࢨࡢ๓᪉  ᗘୗ᪉࡟ᥦ♧ࡉࢀࡿ㸬  ᅗ ௬᝿ࢹ࢕ࢫࣉࣞ࢖ࡢタィ

Fig. 3. Design of our virtual display system.

 ᐇ  㦂 ᮏᐇ㦂ࡢ┠ⓗࡣ㸪ど㊥㞳ࡢసᴗຠ⋡࡬ࡢᙳ㡪ࢆ᫂ࡽ࠿࡟ ࡍࡿࡇ࡜࡛࠶ࡿ㸬ᮏᐇ㦂࡛ࡣ㸪ど㊥㞳ࡢ␗࡞ࡿ  ㏻ࡾࢆ᮲௳ ࡜ࡋ㸪ࡑࢀࡒࢀࡢ᮲௳࡛ࢡࣞ࣌ࣜࣥసᴗࢆసᴗ㈇Ⲵ࡜ࡋ࡚ ୚࠼㸪ࡑࡢຠ⋡ࢆホ౯ࡍࡿ㸬ᮏᐇ㦂࡛ࡣ  ㏻ࡾࡢど㊥㞳ࢆ P㸪P ࡜ P ࡜ࡋ㸪ࡑࢀࡒࢀࡢ᮲௳ࢆ௨ᚋ 1HDU㸪 0LGGOH ࡜ )DU ࡜࿧ࡪ㸬  ࢡ᳨ࣞ࣌ࣜࣥᰝ࡜⑂ປᗘィ   ࢡ᳨ࣞ࣌ࣜࣥᰝࡣ  ᱆࡜  ᱆ࡢຍ⟬ࡢṇ☜ࡉ࡜㏿ᗘࢆィ  ࡍࡿ㸬ᅗ  ࡣࢡ᳨ࣞ࣌ࣜࣥᰝࡢ⏬㠃࡛࠶ࡿ㸬 ⾜  ิࡢ  ᱆ࡢᩘ್ࡢ㓄ิࡀ⏬㠃࡟⾲♧ࡉࢀ㸪⿕㦂⪅ࡣᕥୖ࠿ࡽྑ࡟ ྥ࠿ࡗ࡚㸪㞄ࡾྜ࠺ᩘ್ྠኈࡢຍ⟬ࢆ⾜࠸㸪⟅࠼ࡢ  ᱆┠ࢆ ࢸ࣮࡛ࣥ࢟ゎ⟅ࡍࡿ㸬⌧ᅾࡢィ⟬⟠ᡤࡣ㉥࠸࣎ࢵࢡࢫ࡛♧ ࡉࢀ㸪ゎ⟅ࡣ㟷Ⰽ࡛⾲♧ࡉࢀࡿ㸬ࡇࡇ࡛ṇゎ࠿࡝࠺࠿ࡣ♧ࡉ ࢀ࡞࠸㸬⿕㦂⪅ࡀ⌧ᅾࡢᩘ್ࡢ㓄ิࡢࡍ࡭࡚ࡢຍ⟬ࢆ⤊࠼ ࡿ࡜㸪ḟࡢ᪂ࡋ࠸㓄ิࡀ⾲♧ࡉࢀࡿ㸬⿕㦂⪅ࡣ  ศ㛫࡛ࡁ ࡿࡔࡅከࡃṇ☜࡟ィ⟬ࢆ⥅⥆ࡍࡿ㸬ᐇ㦂ࡢ㛫㸪ྛィ⟬ࡢၥ㢟 ࡜ゎ⟅㸪ṇㄗ㸪㛤ጞ࠿ࡽࡢ⤒㐣᫬㛫ࢆグ㘓ࡍࡿ㸬  ᅗ ࢡ᳨ࣞ࣌ࣜࣥᰝ

Fig. 4. Kraepelin task.

⑂ປࡢ⛬ᗘࢆホ౯ࡍࡿࡓࡵ࡟㸪⫗యⓗ⑂ປ࡟㛵ࡍࡿ࢔ࣥ ࢣ࣮ࢺ㸦,62㸧࡜ᚰ⌮ⓗ⑂ປ࡟㛵ࡍࡿࣇࣜࢵ᳨࣮࢝ ᰝࢆ⏝࠸ࡿ㸬⫗యⓗ⑂ປ࡟㛵ࡍࡿ࢔ࣥࢣ࣮ࢺࡣ㸪ᣦ㸪ᡭ㤳㸪 ⭎㸪⫪㸪㤳㸪┠ࡢ  㒊఩ࡢ⑂ປᗘࢆ 㸦ࡲࡗࡓࡃឤࡌ࡞࠸㸧 ࠿ࡽ 㸦࡜࡚ࡶᙉࡃឤࡌࡿ㸧࡟  ࢆຍ࠼ࡓ  ẁ㝵࡛ᅇ⟅ ࡍࡿ㸬ࣇࣜࢵ᳨࣮࢝ᰝࡣᚰ⌮ⓗ⑂ປࢆホ౯ࡍࡿ᳨ᰝ᪉ἲࡢ 

(4)

ࡘ࡛࠶ࡾ㸪Ⅼⅉ࡜ᾘⅉࢆ㧗㏿࡟⧞ࡾ㏉ࡍගࢆほ ࡍࡿ࡜ࡁ ㆑ูࡀྍ⬟࡞Ⅼ⁛ࡢ࿘Ἴᩘ㸦)37  )OLFNHU 3HUFHSWLRQ 7KUHVKROG㸧࡜ᚰ⌮ⓗ⑂ປࡢ㛵ಀ࡟ᇶ࡙ࡁ㸪⑂ປࡢᗘྜ࠸ࢆ ᥎ᐃࡍࡿࡶࡢ࡛࠶ࡿ㸬୍⯡࡟㸪)37 ࡀ㧗࠸࡜ᚰ⌮ⓗ⑂ປࡣᑠ ࡉࡃ㸪ప࠸࡜ᚰ⌮ⓗ⑂ປࡣ኱ࡁ࠸㸬)37 ࡢィ ࡟➉஭ᶵჾᕤ ᴗ♫ࣇࣜࢵ್࣮࢝ ᐃჾ 7..F ࢆ⏝࠸ࡿ㸬ᮏჾࡣ +] ࠿ࡽ +] ࡲ࡛ࡢ࿘Ἴᩘ⠊ᅖ࡛㸪ቑຍ᪉ྥ㸦8S㸧࡜ῶᑡ᪉ྥ 㸦'RZQ㸧ࡢ  ㏻ࡾࡢィ ࡀྍ⬟࡛࠶ࡿ㸬8S ࡛ࡣ +] ࠿ࡽ࿘ Ἴᩘࡀቑຍࡋ࡚࠸ࡁ㸪Ⅼ⁛࠿ࡽⅬⅉ࡟࡞ࡗࡓ࡜ឤࡌࡓ࿘Ἴ ᩘࢆ㸪'RZQ ࡛ࡣ +] ࠿ࡽ࿘Ἴᩘࡀῶᑡࡋ࡚࠸ࡁ㸪Ⅼⅉ࠿ࡽ Ⅼ⁛࡟࡞ࡗࡓ࡜ឤࡌࡓ࿘Ἴᩘࢆグ㘓ࡍࡿ㸬ᮏᐇ㦂࡛ࡣࡑࢀ ࡒࢀࢆ  ᗘィ ࡋ㸪 ࡘࡢᖹᆒࢆ )37 ࡜ࡍࡿ㸬  ⿕㦂⪅ ⿕㦂⪅ࡣ  ྡࡢᮏᏛ᝟ሗᕤᏛ⛉ࡢᏛ⏕࡛ᖺ㱋ࡣ  ṓ࠿ ࡽ  ṓ࡛࠶ࡿ㸬ࡍ࡭࡚ࡢ⿕㦂⪅ࡣྑ฼ࡁ࡛࠶ࡾ㸪༑ศ࡞࣐ ࢘ࢫࡢ฼⏝⤒㦂ࡀ࠶ࡿ㸬⿕㦂⪅࡟ࡣどຊ࡟ࡘ࠸࡚ࡢཱྀ㢌☜ ㄆࢆᐇ㦂๓࡟⾜࠸㸪㐺ṇどຊ࡛࠶ࡿࡇ࡜ࢆ☜ㄆࡋ࡚࠸ࡿ㸬  ᐇ㦂ᡭ㡰  ᅗ  ࡟ᐇ㦂ࡢᡭ㡰ࢆ♧ࡍ㸬ྛ⿕㦂⪅ࡣࢡ᳨ࣞ࣌ࣜࣥᰝࢆ  ㏻ࡾࡢど㊥㞳࡛⾜࠺㸬᭱ึ࡟㸪ࢡ᳨ࣞ࣌ࣜࣥᰝࡢὶࢀࡸ௬᝿ ࢹ࢕ࢫࣉࣞ࢖ࢩࢫࢸ࣒ࡢ᧯స࡟័ࢀࡿ᫬㛫ࢆ༑ศ࡟タࡅ ࡿ㸬⥆࠸࡚㸪 ศ㛫ࡢᏳ㟼࡜ࣇࣜࢵ᳨࣮࢝ᰝࢆ⾜࠸㸪1HDU࣭ 0LGGOH࣭)DU ࡢෆࡢ  ࡘࡢ᮲௳࡛  ศ㛫ࡢࢡ᳨ࣞ࣌ࣜࣥᰝ ࢆ⾜࠺㸬ࡑࡢᚋ㸪ࣇࣜࢵ᳨࣮࢝ᰝࢆ⾜࠸㸪᭱ᚋ࡟⑂ປ࡟㛵ࡍ ࡿ࢔ࣥࢣ࣮ࢺ࡟ᅇ⟅ࡍࡿ㸬෌ᗘ㸪ྠᵝ࡟  ศ㛫ࡢᏳ㟼࡜ࣇࣜ ࢵ᳨࣮࢝ᰝࢆ⾜࠸㸪␗࡞ࡿ᮲௳࡛ࡢ᳨ᰝ㸪࡜⧞ࡾ㏉ࡍ㸬᮲௳ ࡢ㡰␒ࡣࣛࣥࢲ࣒࡜ࡍࡿ㸬  ᅗ ᐇ㦂ࡢᡭ㡰

Fig. 5. Procedure of the experiment.

 ⤖  ᯝ  ⥲ゎ⟅ᩘ࡜ṇ⟅⋡  ᅗ  ࡟⥲ゎ⟅ᩘࢆ♧ࡍ㸬ᶓ㍈ࡣど㊥㞳ࡢ  ᮲௳࡛࠶ࡾ㸪 ⦪㍈ࡣྛ᮲௳࡟࠾ࡅࡿゎ⟅ᩘࡢ⿕㦂⪅㛫ࡢᖹᆒ㸦ಶ㸧࡛࠶ ࡿ㸬ᅗࡼࡾ㸪࠸ࡎࢀࡢ᮲௳ࡶྠ⛬ᗘࡢゎ⟅ᩘ࡛࠶ࡾ㸪ᶆ‽೫ ᕪࡶྠ⛬ᗘ࡛࠶ࡿࡇ࡜ࡀศ࠿ࡿ㸬᮲௳ࡢ㐪࠸࡟ࡼࡿ኱ࡁ࡞ ᙳ㡪ࡣぢࡽࢀ࡞࠸㸬ḟ࡟㸪ᅗ  ࡟ㄗゎ⟅ᩘࢆ♧ࡍ㸬ᶓ㍈ࡣୖ ᅗ࡜ྠࡌ࡛࠶ࡾ㸪⦪㍈ࡣྛ᮲௳࡟࠾ࡅࡿㄗゎ⟅ᩘࡢ⿕㦂⪅ 㛫ࡢᖹᆒ㸦ಶ㸧࡛࠶ࡿ㸬ᅗࡼࡾ㸪ᶆ‽೫ᕪࡣ࠸ࡎࢀࡢ᮲௳ࡶ ྠ⛬ᗘ࡛࠶ࡾ࡞ࡀࡽ㸪ㄗゎ⟅ᩘࡣど㊥㞳 )DU ᮲௳ࡢሙྜ㸪ῶ ᑡࡢഴྥࡀぢࡽࢀࡿ㸬⥲ゎ⟅ᩘ࡜ㄗゎ⟅ᩘࡼࡾṇ⟅⋡ࢆ♧ ࡋࡓࡢࡀᅗ  ࡛࠶ࡿ㸬ᶓ㍈ࡣୖᅗ࡜ྠࡌ࡛࠶ࡾ㸪⦪㍈ࡣྛ᮲ ௳࡟࠾ࡅࡿṇ⟅⋡ࡢ⿕㦂⪅㛫ࡢᖹᆒ㸦๭ྜ㸧࡛࠶ࡿ㸬ᅗࡼࡾ㸪 ᶆ‽೫ᕪࡣ࠸ࡎࢀࡢ᮲௳ࡶྠ⛬ᗘ࡛࠶ࡾ࡞ࡀࡽ㸪ṇ⟅⋡ࡣ ど㊥㞳 )DU ᮲௳ࡢሙྜ㸪ྥୖࡍࡿഴྥࡀぢࡽࢀࡿ㸬  ᅗ ⥲ゎ⟅ᩘ

Fig. 6. Total answers.

 ᅗ ㄗゎ⟅ᩘ

Fig. 7. Total of wrong answers.

 ᅗ ṇ⟅⋡

Fig. 8. Accuracy of calculation.

 ⥆࠸࡚㸪ㄗゎ⟅ᩘࡢ᫬㛫ⓗኚ໬ࢆᅗ  ࡟♧ࡍ㸬ᶓ㍈ࡣ⤒㐣 ᫬㛫㸦ศ㸧࡛࠶ࡾ㸪⦪㍈ࡣ㸯ศ㛫࡟ゎ⟅ࡋࡓㄗゎ⟅ᩘࡢ⿕㦂 ⪅㛫ࡢᖹᆒ㸦ಶ㸧࡛࠶ࡿ㸬ᅗࡼࡾ㸪 ᮲௳࡜ࡶ  ศ๓ᚋࡲ࡛ ㄗゎ⟅ᩘࡣẚ㍑ⓗ࡟ᑡ࡞࠸ࡀ㸪ど㊥㞳 1HDU ᮲௳࡜ど㊥㞳 0LGGOH ᮲௳࡟࠾࠸࡚ࡣ  ศ๓ᚋ௨㝆ࡼࡾቑ࠼ࡿഴྥࡀࡳࡽ ࢀࡿ㸬ど㊥㞳 )DU ᮲௳࡟ࡘ࠸࡚ࡣ㸪 ศ๓ᚋ௨㝆ࡶẚ㍑ⓗ࡟ ᑡ࡞࠸ഴྥࡀࡳࡽࢀࡿ㸬ࡇࢀࡽࡢഴྥࢆㄗゎ⟅ᩘࡢ⣼✚ኚ ໬࡛♧ࡋࡓࡶࡢࡀᅗ  ࡛࠶ࡿ㸬ᶓ㍈ࡣୖᅗ࡜ྠࡌ࡛࠶ࡾ㸪 ⦪㍈ࡣ  ศẖࡢㄗゎ⟅ᩘࡢ⿕㦂⪅㛫ࡢᖹᆒࡢ⣼✚ኚ໬㸦ಶ㸧 ࡛࠶ࡿ㸬ᅗࡼࡾ㸪ど㊥㞳 )DU ᮲௳࡛ࡣ᳨ᰝ᫬㛫  ศࡢ㛫㸪 ㄗゎ⟅ᩘࡢቑຍࡣ୍ᐃࡢ๭ྜ࡛࠶ࡿࡢ࡟ᑐࡋ࡚㸪௚ࡢど㊥ 㞳  ᮲௳࡟࠾࠸࡚ࡣ㸪 ศ๓ᚋ௨㝆㸪ࡑࡢቑຍࡣࡸࡸຍ㏿ഴ ྥ࡟࠶ࡿࡇ࡜ࡀㄞࡳྲྀࢀࡿ㸬ࡇࡢഴྥࡣ㸪ど㊥㞳ࡀ㛗࠸࡯ ࡝㸪㛗࠸᫬㛫࡟ࢃࡓࡾ㞟୰ຊࡀ⥔ᣢࡉࢀㄗゎ⟅ࡀ㉳ࡇࡾ࡟ ࡃ࠸≧ἣࡀ⥆࠸ࡓࡓࡵ࡜ண᝿ࡉࢀࡿ㸬

(5)

▼ཎ ┿⣖ኵ㸪▼ཎ ⏤⣖ኵ

 ᅗ ㄗゎ⟅ᩘࡢ᫬㛫ⓗ᥎⛣

Fig. 9. Count of wrong answers made every minute.

 ᅗ ㄗゎ⟅ᩘࡢ⣼✚ኚ໬

Fig. 10. Cumulative total of wrong answers.  ⫗యⓗ⑂ປ࡜ᚰ⌮ⓗ⑂ປ  ᅗ  ࡟⫗యⓗ⑂ປࡢ࢔ࣥࢣ࣮ࢺ⤖ᯝࢆ♧ࡍ㸬ᶓ㍈ࡣど㊥ 㞳ࡢ  ᮲௳࡛࠶ࡾ㸪⦪㍈ࡣྛ᮲௳࡟࠾ࡅࡿ࢔ࣥࢣ࣮ࢺ⤖ᯝ ࡢ⿕㦂⪅㛫ࡢᖹᆒ࡛࠶ࡿ㸬ᅗࡼࡾ㸪┠௨እࡢ㒊఩࡟ࡘ࠸࡚ࡣ 㛗࠸ど㊥㞳࡯࡝㸪⑂ປࡀᑡ࡞࠸ഴྥࡀ࠶ࡿࡇ࡜ࡀㄞࡳྲྀࢀ ࡿ㸬ࡑࢀࡒࢀࡢ᮲௳࡛ࡢᖹᆒ್ࡣ  ࡛࠶ࡿ㸬  ᅗ ⫗యⓗ⑂ປࡢ࢔ࣥࢣ࣮ࢺ㸦,62㸧ࡢ⤖ᯝ Fig. 11. Result of questionnaire on physical fatigue.  ḟ࡟㸪ᚰ⌮ⓗ⑂ປࡢ⤖ᯝࢆᅗ  ࡟♧ࡍ㸬ᶓ㍈ࡣ㸪᳨ᰝࡢ ᫬ᮇ࡛࠶ࡿ᳨ᰝ๓㸦%HIRUH㸧࡜᳨ᰝᚋ㸦$IWHU㸧࡛࠶ࡾ㸪⦪ ㍈ࡣ᳨ᰝ๓㸭ᚋ࡟࠾࠸࡚㸪ࡑࢀࡒࢀࡢど㊥㞳࡟࠾ࡅࡿ 8S 'RZQ ูࡢ ᐃ್ )37 ࡢ⿕㦂⪅㛫ࡢᖹᆒ㸦+]㸧࡛࠶ࡿ㸬ᅗࡼ ࡾ㸪8S ࡢ ᐃ್ࡀ 'RZQ ࡢࡑࢀࡼࡾ኱ࡁ࠸ࡇ࡜ࡀࢃ࠿ࡿ㸬ࡇ ࢀࡣ㸪ឤぬࡢࣄࢫࢸࣜࢩࢫ≉ᛶ࡟ࡼࡿࡶࡢ࡜⪃࠼ࡽࢀ㸪 ᐃ ್ࡢጇᙜᛶࢆ♧ࡋ࡚࠸ࡿ㸬࠸ࡎࢀࡶ᳨ᰝᚋࡣᚰ⌮ⓗ⑂ປࡀ ቑຍࡋ࡚࠸ࡿ㸦)37 ࡀῶᑡࡋ࡚࠸ࡿ㸧ഴྥࡀࡳࡽࢀࡿ㸬ど㊥ 㞳ẖࡢ᳨ᰝ๓࡜᳨ᰝᚋࡢኚ໬ࢆᅗ  ࡟♧ࡍ㸬ᶓ㍈ࡣୖᅗ࡜ ྠࡌ࡛࠶ࡾ㸪⦪㍈ࡣ᳨ᰝ๓㸭ᚋ࡟࠾࠸࡚㸪ࡑࢀࡒࢀࡢど㊥㞳 ࡟࠾ࡅࡿ ᐃ್ࡢ⿕㦂⪅㛫ࡢᖹᆒ㸦+]㸧࡛࠶ࡿ㸬ᅗࡼࡾ㸪࠸ ࡎࢀࡢど㊥㞳࡛ࡶ᳨ᰝᚋࡢᚰ⌮ⓗ⑂ປࡣቑຍࡍࡿഴྥ࡟࠶ ࡿࡀ㸪ࡑࡢቑຍ㔞࡟㛵ࡋ࡚㸪ど㊥㞳ࡀ㛗࠸࡯࡝ᑡ࡞࠸ࡇ࡜ࡶ ྠ᫬࡟ㄞࡳྲྀࢀࡿ㸬ᚰ⌮ⓗ⑂ປࡢቑຍ㔞ࡣど㊥㞳 1HDU ᮲௳ ࠿ࡽ㡰␒࡟㸪㸪 ࡛࠶ࡿ㸬ࡇࢀࡽࡢ⤖ᯝࡼࡾ㸪 ど㊥㞳ࡀ㛗࠸࡯࡝ᚰ⌮ⓗ⑂ປࡢቑຍࡀᢚ࠼ࡽࢀࡿྍ⬟ᛶࡀ ࠶ࡿࡇ࡜ࡀ♧ࡉࢀࡿ㸬  ᅗ ᚰ⌮ⓗ⑂ປ㸦)37㸧ࡢ 8S'RZQ ูኚ໬ Fig. 12. Result of FPT at Up and Down condition for

physiological fatigue.

ᅗ ᚰ⌮ⓗ⑂ປ㸦)37㸧ࡢኚ໬

Fig. 13. Result of FPT across Up and Down conditions for physiological fatigue.

 ࡴࡍࡧ ᮏሗ࿌ࡣ㸪HMD ࢆ⏝࠸ࡓἐධᆺࡢ௬᝿ࢹ࢕ࢫࣉࣞ࢖ࢩࢫ ࢸ࣒ࢆᵓ⠏ࡋ㸪ࢡࣞ࣌ࣜࣥసᴗࢆ⏝࠸࡚ど㊥㞳ࡀసᴗຠ⋡ ࡟ཬࡰࡍᙳ㡪࡟ࡘ࠸࡚ᐇ㦂ࢆ⾜ࡗࡓ㸬ࡑࡢ⤖ᯝ㸪ど㊥㞳ࡀ㛗 ࠸࡯࡝సᴗࡢṇ☜ᛶࡣྥୖࡍࡿࡇ࡜㸪ࡉࡽ࡟⫗యⓗ⑂ປࡣ ㍍ῶࡋ㸪ᚰ⌮ⓗ⑂ປࡢቑຍ㔞ࡶ㍍ῶࡍࡿഴྥࡀ࠶ࡿࡇ࡜ࡀ ♧ࡉࢀࡓ㸬  ㅰ㎡  ᮏ◊✲ࡣᮏᏛ᝟ሗ⛉Ꮫ◊✲ᡤ 2019 ᖺᗘ⛉◊㈝ࣜࢺࣛ࢖ᨭ ᥼ไᗘ࡟ࡼࡾᐇ᪋ࡋࡓࡶࡢ࡛࠶ࡿ㸬 ᩥ   ⊩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

  .D]X\D .852'$ DQG 0DNLR ,6+,+$5$ ,PSDFW RI GLVWDQFH WR VFUHHQXSRQVSDWLDODZDUHQHVV3URFRIWKHWK,QW&RQI RQ +XPDQ&RPSXWHU ,QWHUDFWLRQ )ORULGD 86$ SS   

  0DNLR,6+,+$5$DQG<XNLR,6+,+$5$,PSDFWRIYLHZLQJGLVWDQFH RQ WDVN SHUIRUPDQFH DQG LWV SURSHUWLHV ,(,&( 7UDQV RQ ,QIRUPDWLRQDQG6\VWHPVYROHGQRSS  

Fig. 3. Design of our virtual display system.
Fig. 5. Procedure of the experiment.
Fig. 9. Count of wrong answers made every minute.

参照

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