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
巻
3
ページ
29-33
発行年
2020-12-25
URL
http://hdl.handle.net/11478/00001585
ἐධ⎔ቃ࡛ࡢ௬⏬㠃ࡢど㊥㞳ࡀཬࡰࡍࢡࣞ࣌ࣜࣥసᴗࡢᙳ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㓞㸪࢜ࣇࢫ ࣮࣡ࢡࡼࡿ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㸬᳜➉ࡣ 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⌧ࡉࢀࡿࡇࢆ♧ࡋ࡚࠸ ࡿ㸬∦ᒣࡽࡣࣃࢯࢥࣥ⏬㠃ୖ⾲♧ࡉࢀࡿ࣮࢝ࣛࣃࢱ࣮ ࣥࡢసᴗຠ⋡⑂ປࡢᙳ㡪ࢆㄪᰝࡋ㸪ᩥᏐⰍ⫼ᬒⰍ㛫 ࡢ㐺ṇ࡞ࢥࣥࢺࣛࢫࢺࡣࡼࡾ⑂ປࢆࡽࡆࡿ㸪≉ࡑࢀࡽ ࡢᙬᗘࡁ࡞ᕪࡀ࡞࠸ሙྜࡣ㢧ⴭ࡛࠶ࡿࡇࢆ♧ࡋ࡚࠸ ࡿ㸬ຍ⸨ࡽࡣ㸪㤳ࡸ⫪ࡢ③ࡳࢆࡽࡆࡿࡓࡵࡢጼໃࣇ ࣮ࢻࣂࢵࢡࢿࢵࢡࣂࣥࢻࢆᵓ⠏ࡋ࡚࠸ࡿ㸬ࡇࡢࣂࣥࢻࡣ⦪ ᶓࡢఙࡧࢆ᳨ฟ࡛ࡁࡿ ࡘࡢࢭࣥࢧ࣮ࢩ࣮ࢺࡽ࡞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ࡃࡇࡀ࡛ࡁࡿࡇࡀ♧ ၀ࡉࢀࡓ㸬ࡉࡽ㸪ⴭ⪅ࡽࡣど㊥㞳ࡀ㛗࠸ሙྜࣜࣛࢵࢡࢫ ຠᯝࡀࡳࡽࢀ㸪࣐࢘ࢫ᧯సࡢ⢭ᗘࡀྥୖࡍࡿࡇࢆ᫂ࡽ ࡋࡓ㸬ࡑࡇ࡛ࡣ㸪3& ⏬㠃ࡢỈᖹど㔝ゅᗘ⠊ᅖᕥྑ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㈇Ⲵࡋ࡚⑂ປ㛵ࡍࡿᐇ㦂ࢆ⾜ࡗࡓ㸬ᐇ㦂⤖ᯝ ࡼࡾ㸪ど㊥㞳ࡀ㛗࠸᪉ࡀㄗࢡࣜࢵࢡᩘࡣῶᑡࡋ㸪ィ⟬ࡢṇ⟅ ⋡ࡣᨵၿࡍࡿഴྥ࠶ࡿࡇࡀ♧ࡉࢀࡓ㸬 ᮏሗ࿌ࡣࡇࢀࡲ࡛ࡢᐇ㦂ᐇ⦼ࢆ࠺ࡅ㸪᭦㛗࠸ど㊥㞳࡛ ࠶ࡿ P ࡸ P ࢆᐃࡋ㸪+0' ࢆ⏝࠸ࡓ௬ࢹࢫࣉࣞ ࢩࢫࢸ࣒ࢆᵓ⠏ࡍࡿ㸬ࡑࡢୖ࡛㸪సᴗຠ⋡ࡢ㛵ಀࡘ࠸࡚ ᐇ㦂ࢆ⾜࠸㸪ࡑࡢ⤖ᯝࡘ࠸࡚㏙ࡿ㸬 ❶࡛௬ࢹࢫࣉࣞࢩࢫࢸ࣒ࡘ࠸࡚㏙ࡿ㸬 ❶࡛ ᐇ㦂ࡘ࠸࡚㏙㸪 ❶࡛ࡑࡢ⤖ᯝࢆ♧ࡍ㸬 ❶࡛ᮏሗ࿌ࢆ ࡲࡵࡿ㸬 +0' ࢆ⏝࠸ࡓ௬ࢹࢫࣉࣞࢩࢫࢸ࣒ ᅗ ࡣᮏࢩࢫࢸ࣒ࡢእほ࡛࠶ࡿ㸬ᮏࢩࢫࢸ࣒ࡣ +0'㸦+7& ♫ 9LYH3UR㸧ࢹࣗࣝ⏬㠃㸪࣍ࢫࢺ 3&㸦'HOO$OLHQZDUH㸧
▼ཎ ┿⣖ኵ㸪▼ཎ ⏤⣖ኵ ࡽᵓᡂࡉࢀࡿ㸬+0' ࢹࣗࣝ⏬㠃ࡣ࣍ࢫࢺ 3& ᥋⥆ࡉ ࢀࡿ㸬࣍ࢫࢺ 3& ࡣ 8QLW\㸦I㸧ࢆ⏝࠸࡚௬ୡ⏺ ࢆ⏕ᡂࡋ㸪ࢹࣗࣝ⏬㠃ࡢᕥ⏬㠃ࢆ௬ୡ⏺タ⨨ࡉࢀࡿ ௬ࢹࢫࣉࣞ㌿㏦ࡍࡿ㸬ᅗ ࡣ㸪+0' ࡼࡾ⏝⪅ ᥦ♧ࡉࢀࡿ࣓࣮ࢪࡢ୍࡛࠶ࡿ㸬ṇ㠃㓄⨨ࡉࢀࡿ௬ ࢹࢫࣉࣞࢆぢ࡞ࡀࡽ࣐࢘ࢫ᧯సࡸ࣮࣮࢟࣎ࢻ᧯సࢆ⾜ ࠺ࡇࡀ࡛ࡁࡿ㸬ᅗࡢୗ᪉ࡣ௬ୡ⏺⌧ࡉࢀࡓ 9LYH 3UR ࡢࢥࣥࢺ࣮ࣟࣛࡀ☜ㄆ࡛ࡁࡿ㸬ࡇࡢࢥࣥࢺ࣮ࣟࣛࡣᐇ✵ 㛫Ꮡᅾࡍࡿᐇ≀ྠᮇࡋ࡚ືࡃࡓࡵ㸪ᐇ≀ࢆぢࡎࡶ᧯ సࡀྍ⬟࡛࠶ࡿ㸬⏝⪅ࡣࢥࣥࢺ࣮ࣟࣛࡢࢱࢵࢳࣃࢵࢻ ࡼࡾ㸪௬ࢹࢫࣉࣞࢆ P ࡽ P ࡲ࡛ࡢど㊥㞳 ⛣ືࡀ࡛ࡁࡿ㸬ࢱࢵࢳࣃࢵࢻࡢୖ㒊ᣦࢆ⨨ࡃ㸪௬ࢹ ࢫࣉࣞࡢど㊥㞳ࡣ㛗ࡃ࡞ࡾ㸪ୗ㒊ᣦࢆ⨨ࡃࡑࡢど㊥ 㞳ࡣ▷ࡃ࡞ࡿ㸬ࡲࡓ⌧≧࡛ࡣ㸪࣐࢘ࢫ࣮࣮࢟࣎ࢻࡣ௬ୡ ⏺⌧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 ࡣ௬ࢹࢫࣉࣞࡢ㓄⨨㛵ࡍࡿタィ࡛࠶ࡿ㸬ᕥ ᅗࡣୖࡽぢࡓࡶࡢ࡛࠶ࡾ㸪ྑᅗࡣᶓࡽぢࡓࡶࡢ࡛࠶ ࡿ㸬Ỉᖹど㔝ゅᗘ⠊ᅖᕥྑィࡣ ᗘ㸦,62㸧࡛ ࠶ࡾ㸪௬ࢹࢫࣉࣞࡢࢫ࣌ࢡࢺẚࡣᶓ ⦪ ࡛࠶ ࡿ㸬ど㊥㞳ࡀ㛗ࡃ࡞ࡿ㸪௬ࢹࢫࣉࣞࡢࡁࡉࡣẚ ࡋ࡚ࡁࡃ࡞ࡾ㸪⏝⪅ࡽࡳࡓỈᖹど㔝ゅᗘ⠊ᅖࡕ ࡻ࠺ࡲࡿࡼ࠺ㄪᩚࡉࢀࡿ㸬,62 ᚑ࠸௬ࢹ ࢫࣉࣞࡣ࣮ࣘࢨࡢ๓᪉ ᗘୗ᪉ᥦ♧ࡉࢀࡿ㸬 ᅗ ௬ࢹࢫࣉࣞࡢタィ
Fig. 3. Design of our virtual display system.
ᐇ 㦂 ᮏᐇ㦂ࡢ┠ⓗࡣ㸪ど㊥㞳ࡢసᴗຠ⋡ࡢᙳ㡪ࢆ᫂ࡽ ࡍࡿࡇ࡛࠶ࡿ㸬ᮏᐇ㦂࡛ࡣ㸪ど㊥㞳ࡢ␗࡞ࡿ ㏻ࡾࢆ᮲௳ ࡋ㸪ࡑࢀࡒࢀࡢ᮲௳࡛ࢡࣞ࣌ࣜࣥసᴗࢆసᴗ㈇Ⲵࡋ࡚ ࠼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⪅ࡣᕥୖࡽྑ ྥ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㓄ิࡢࡍ࡚ࡢຍ⟬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ጞࡽࡢ⤒㐣㛫ࢆグ㘓ࡍࡿ㸬 ᅗ ࢡ᳨ࣞ࣌ࣜࣥᰝ
Fig. 4. Kraepelin task.
⑂ປࡢ⛬ᗘࢆホ౯ࡍࡿࡓࡵ㸪⫗యⓗ⑂ປ㛵ࡍࡿࣥ ࢣ࣮ࢺ㸦,62㸧ᚰ⌮ⓗ⑂ປ㛵ࡍࡿࣇࣜࢵ᳨࣮࢝ ᰝࢆ⏝࠸ࡿ㸬⫗యⓗ⑂ປ㛵ࡍࡿࣥࢣ࣮ࢺࡣ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
ࡘ࡛࠶ࡾ㸪Ⅼⅉᾘⅉࢆ㧗㏿⧞ࡾ㏉ࡍගࢆほ ࡍࡿࡁ ㆑ูࡀྍ⬟࡞Ⅼ⁛ࡢ࿘Ἴᩘ㸦)37 )OLFNHU 3HUFHSWLRQ 7KUHVKROG㸧ᚰ⌮ⓗ⑂ປࡢ㛵ಀᇶ࡙ࡁ㸪⑂ປࡢᗘྜ࠸ࢆ ᥎ᐃࡍࡿࡶࡢ࡛࠶ࡿ㸬୍⯡㸪)37 ࡀ㧗࠸ᚰ⌮ⓗ⑂ປࡣᑠ ࡉࡃ㸪ప࠸ᚰ⌮ⓗ⑂ປࡣࡁ࠸㸬)37 ࡢィ ➉ᶵჾᕤ 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࡞ࡗࡓឤࡌࡓ࿘Ἴ ᩘࢆ㸪'RZQ ࡛ࡣ +] ࡽ࿘Ἴᩘࡀῶᑡࡋ࡚࠸ࡁ㸪Ⅼⅉࡽ Ⅼ⁛࡞ࡗࡓឤࡌࡓ࿘Ἴᩘࢆグ㘓ࡍࡿ㸬ᮏᐇ㦂࡛ࡣࡑࢀ ࡒࢀࢆ ᗘィ ࡋ㸪 ࡘࡢᖹᆒࢆ )37 ࡍࡿ㸬 ⿕㦂⪅ ⿕㦂⪅ࡣ ྡࡢᮏᏛሗᕤᏛ⛉ࡢᏛ⏕࡛ᖺ㱋ࡣ ṓ ࡽ ṓ࡛࠶ࡿ㸬ࡍ࡚ࡢ⿕㦂⪅ࡣྑࡁ࡛࠶ࡾ㸪༑ศ࡞࣐ ࢘ࢫࡢ⏝⤒㦂ࡀ࠶ࡿ㸬⿕㦂⪅ࡣどຊࡘ࠸࡚ࡢཱྀ㢌☜ ㄆࢆᐇ㦂๓⾜࠸㸪㐺ṇどຊ࡛࠶ࡿࡇࢆ☜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 ࢹࢫࣉࣞࢩࢫࢸ࣒ࡢ᧯స័ࢀࡿ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 ࡿࣥࢣ࣮ࢺᅇ⟅ࡍࡿ㸬ᗘ㸪ྠᵝ ศ㛫ࡢᏳ㟼ࣇࣜ ࢵ᳨࣮࢝ᰝࢆ⾜࠸㸪␗࡞ࡿ᮲௳࡛ࡢ᳨ᰝ㸪⧞ࡾ㏉ࡍ㸬᮲௳ ࡢ㡰␒ࡣࣛࣥࢲ࣒ࡍࡿ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࠶ࡿࡇࡀศࡿ㸬᮲௳ࡢ㐪࠸ࡼࡿࡁ࡞ ᙳ㡪ࡣぢࡽࢀ࡞࠸㸬ḟ㸪ᅗ ㄗゎ⟅ᩘࢆ♧ࡍ㸬ᶓ㍈ࡣୖ ᅗྠࡌ࡛࠶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ࡣୖᅗྠࡌ࡛࠶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ⓗኚࢆᅗ ♧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ࡣୖᅗྠࡌ࡛࠶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⟅ᩘࡢቑຍࡣ୍ᐃࡢྜ࡛࠶ࡿࡢᑐࡋ࡚㸪ࡢど㊥ 㞳 ᮲௳࠾࠸࡚ࡣ㸪 ศ๓ᚋ௨㝆㸪ࡑࡢቑຍࡣࡸࡸຍ㏿ഴ ྥ࠶ࡿࡇࡀㄞࡳྲྀࢀࡿ㸬ࡇࡢഴྥࡣ㸪ど㊥㞳ࡀ㛗࠸ 㸪㛗࠸㛫ࢃࡓࡾ㞟୰ຊࡀ⥔ᣢࡉࢀㄗゎ⟅ࡀ㉳ࡇࡾ ࡃ࠸≧ἣࡀ⥆࠸ࡓࡓࡵணࡉࢀࡿ㸬
▼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ⓗ⑂ປᚰ⌮ⓗ⑂ປ ᅗ ⫗యⓗ⑂ປࡢࣥࢣ࣮ࢺ⤖ᯝࢆ♧ࡍ㸬ᶓ㍈ࡣど㊥ 㞳ࡢ ᮲௳࡛࠶ࡾ㸪⦪㍈ࡣྛ᮲௳࠾ࡅࡿࣥࢣ࣮ࢺ⤖ᯝ ࡢ⿕㦂⪅㛫ࡢᖹᆒ࡛࠶ࡿ㸬ᅗࡼࡾ㸪┠௨እࡢ㒊ࡘ࠸࡚ࡣ 㛗࠸ど㊥㞳㸪⑂ປࡀᑡ࡞࠸ഴྥࡀ࠶ࡿࡇࡀㄞࡳྲྀࢀ ࡿ㸬ࡑࢀࡒࢀࡢ᮲௳࡛ࡢᖹᆒ್ࡣ ࡛࠶ࡿ㸬 ᅗ ⫗యⓗ⑂ປࡢࣥࢣ࣮ࢺ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 ࡢࡑࢀࡼࡾࡁ࠸ࡇࡀࢃࡿ㸬ࡇ ࢀࡣ㸪ឤぬࡢࣄࢫࢸࣜࢩࢫ≉ᛶࡼࡿࡶࡢ⪃࠼ࡽࢀ㸪 ᐃ ್ࡢጇᙜᛶࢆ♧ࡋ࡚࠸ࡿ㸬࠸ࡎࢀࡶ᳨ᰝᚋࡣᚰ⌮ⓗ⑂ປࡀ ቑຍࡋ࡚࠸ࡿ㸦)37 ࡀῶᑡࡋ࡚࠸ࡿ㸧ഴྥࡀࡳࡽࢀࡿ㸬ど㊥ 㞳ẖࡢ᳨ᰝ๓᳨ᰝᚋࡢኚࢆᅗ ♧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࡞࠸ࡇࡶ ྠ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 ࠶ࡿࡇࡀ♧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.
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