視覚デザイン探索のためのクラウドソーシングを活用したパラメタ空間解析（WISS 2014）

1. 8*44 鋔鋙رؠ؎ٝ䱱稊ך׋׭ך ؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿㼭㿊酔䊹խխ㖩劤㣐➜խխ✿⼧䆀⨳㣗 Not Good Good Parameter Space Suggested Designs Visualization User’s Edit Interactive Optimization Not Good Good Parameter Space Suggested Designs Visualization User’s Edit Interactive Optimization

2. 鎘皾ח״׏גرؠ؎ٝ׾佄䴂ׅ׷ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

3. 鎘皾ח״׏גرؠ؎ٝ׾佄䴂ׅ׷ 劤灇瑔ך㼎韋ػًٓة锃侭ח״׷رؠ؎ٝ䱱稊㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

4. 鎘皾ח״׏גرؠ؎ٝ׾佄䴂ׅ׷ 劤灇瑔ך㼎韋ػًٓة锃侭ח״׷رؠ؎ٝ䱱稊 ⹛歗㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

5. 灇瑔嚊銲 ! ؼُ٦وٝ؝ٝؾُذ٦ءّٝח״׏ג رؠ؎ٝ瑞꟦׾鍑匿ׅ׷䩛岀ך䲿周 رؠ؎ٝךչ葺׃䝤׃պך瑞꟦ⴓ䋒׾䱿㹀ׅ׷ ! رؠ؎ٝ䱱稊ך׋׭ך؎ٝةؿؑ٦أך䲿周 4NBSU4VHHFTUJPO 7JT0QU4MJEFS 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

8. ٙ٦ؙؿٗ٦ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

9. ٙ٦ؙؿٗ٦ Design Task design parameters 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

10. ٙ٦ؙؿٗ٦ Design Task Analysis design parameters parameter space parameter 1 parameter 2 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

11. ٙ٦ؙؿٗ٦ Design Task Analysis design parameters parameter space parameter 1 parameter 2 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

12. ٙ٦ؙؿٗ٦ Design Task Analysis design parameters parameter space parameter 1 parameter 2 crowd workers 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

13. ٙ٦ؙؿٗ٦ Design Task Analysis design parameters parameter space ⹛歗 parameter 1 parameter 2 crowd workers 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

14. ٙ٦ؙؿٗ٦ Design Task Analysis design parameters parameter space parameter 1 parameter 2 crowd workers 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

15. ٙ٦ؙؿٗ٦ Design Task Analysis design parameters not good good parameter space parameter 1 parameter 2 crowd workers 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

16. ٙ٦ؙؿٗ٦ Design Task Analysis f : n design parameters not good good parameter space parameter 1 parameter 2 crowd workers 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

17. ٙ٦ؙؿٗ٦ Design Task Analysis f : n crowd workers User Interface VisOpt Slider design parameters not good good parameter space parameter 1 parameter 2 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

18. رٌ ِ٦ؠ؎ٝةؿؑ٦أ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

19. رٌ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

20. ꟼ鸬灇瑔㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

21. ꧊さ濼׾欽ְ׋رؠ؎ٝ 5BMUPO 7PZBOU9V ⵸ךِ٦ؠךرؠ؎ٝ׾׮הח 倜׃ְٌرٕ׾رؠ؎ׅٝ׷ 㢳ֻך⿫⸇罏הꞿְ麊欽劍꟦ָ䗳銲 ֮׷رؠ؎ٝחאְג ؿ؍٦سغحؙ׾꧊׭׷ ػًٓة瑞꟦ך鍑匿٥䱱稊דכזְ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

24. 纇遚鎘皾ח״׷رؠ؎ٝ瑞꟦ך鍑匿 'POU0ˏ%POPWBO 7JFX%JSFDUJPO4FDPSE 8FC3FJOFDLF ぐرؠ؎ٝ걄㚖ח㔿剣ך濼陎暴䗙ꆀ ׾欽ְגְ׷ 䧮ղך䩛岀כ⟣䠐ךرؠ؎ٝ瑞꟦ח黝欽〳腉㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

27. 䲿爙؎ٝةؿؑ٦أ %FTJHO(BMMFSJFT.BSLT #SBJOTUPSNGUFSFDUT 䲿爙ⰻ㺁ָ➂꟦ך繟涸䠬鋙ח㛇בְגְזְ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

30. أٓ؎ت؎ٝةؿؑ٦أ رؠ؎ٝفٖؽُ٦׾〳鋔⻉ ꟼ鸬ر٦ة׾〳鋔⻉ 4JEF7JFXT5FSSZ 4DFOUFE8JEHFU8JMMFUU չ葺׃䝤׃պך〳鋔⻉דכזְ 剑黝⻉堣腉כזְ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

33. رؠ؎ٝ瑞꟦ך鍑匿㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

34. رؠ؎ٝ瑞꟦ך鍑匿 4BNQMJOH 1BSBNFUFS4FUT (BUIFSJOH1BJSXJTF $PNQBSJTPOT TUJNBUJOH(PPEOFTT 7BMVFTPG1PJOUT TUJNBUJOH(PPEOFTT 7BMVFTPG1PJOUT 'JUUJOHB(PPEOFTT 'VODUJPO ػًٓةإحزך ؟ٝفؚٔٝ 挿꟦חֶֽ׷ 嫰鯰ر٦ةך　꧊ ぐ挿חֶֽ׷ (PPEOFTTך䱿㹀鸬竲ꟼ侧פך ؿ؍حذ؍ؚٝ 鑫稢 Yuki Koyama, Daisuke Sakamoto, and Takeo Igarashi. 2014. Crowd-powered parameter analysis for visual design exploration. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14). ACM, New York, NY, USA, 65-74. 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

37. رؠ؎ٝ瑞꟦ך鍑匿 4BNQMJOH 1BSBNFUFS4FUT 纇遚鎘皾 (BUIFSJOH1BJSXJTF $PNQBSJTPOT crowd workers TUJNBUJOH(PPEOFTT 7BMVFTPG1PJOUT TUJNBUJOH(PPEOFTT 7BMVFTPG1PJOUT 'JUUJOHB(PPEOFTT 'VODUJPO ػًٓةإحزך ؟ٝفؚٔٝ 挿꟦חֶֽ׷ 嫰鯰ر٦ةך　꧊ ぐ挿חֶֽ׷ (PPEOFTTך䱿㹀鸬竲ꟼ侧פך ؿ؍حذ؍ؚٝ 鑫稢 Yuki Koyama, Daisuke Sakamoto, and Takeo Igarashi. 2014. Crowd-powered parameter analysis for visual design exploration. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14). ACM, New York, NY, USA, 65-74. 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

38. رؠ؎ٝ瑞꟦ך鍑匿 4BNQMJOH 1BSBNFUFS4FUT (BUIFSJOH1BJSXJTF $PNQBSJTPOT 剑㼭✳⛦岀 TUJNBUJOH(PPEOFTT 7BMVFTPG1PJOUT TUJNBUJOH(PPEOFTT 7BMVFTPG1PJOUT 'JUUJOHB(PPEOFTT 'VODUJPO ػًٓةإحزך ؟ٝفؚٔٝ 挿꟦חֶֽ׷ 嫰鯰ر٦ةך　꧊ ぐ挿חֶֽ׷ (PPEOFTTך䱿㹀鸬竲ꟼ侧פך ؿ؍حذ؍ؚٝ 鑫稢 Yuki Koyama, Daisuke Sakamoto, and Takeo Igarashi. 2014. Crowd-powered parameter analysis for visual design exploration. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14). ACM, New York, NY, USA, 65-74. 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

39. رؠ؎ٝ瑞꟦ך鍑匿 4BNQMJOH 1BSBNFUFS4FUT (BUIFSJOH1BJSXJTF $PNQBSJTPOT TUJNBUJOH(PPEOFTT 7BMVFTPG1PJOUT TUJNBUJOH(PPEOFTT 7BMVFTPG1PJOUT 3#'酡꟦ 'JUUJOHB(PPEOFTT 'VODUJPO ػًٓةإحزך ؟ٝفؚٔٝ 挿꟦חֶֽ׷ 嫰鯰ر٦ةך　꧊ ぐ挿חֶֽ׷ (PPEOFTTך䱿㹀鸬竲ꟼ侧פך ؿ؍حذ؍ؚٝ 鑫稢 Yuki Koyama, Daisuke Sakamoto, and Takeo Igarashi. 2014. Crowd-powered parameter analysis for visual design exploration. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14). ACM, New York, NY, USA, 65-74. 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

40. ِ٦ؠ؎ٝةؿؑ٦أ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

41. ؎ٝةؿؑ٦أ 4NBSU4VHHFTUJPO ؝ٝإفز չ葺׃䝤׃պך䞔㜠׾欽ְג䲿爙ⰻ㺁׾欰䧭㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

42. ؎ٝةؿؑ٦أ 4NBSU4VHHFTUJPO 植㖈ך㹋鄲 ٓٝتيח⦐ך رؠ؎ٝ׾欰䧭挿侧ָ넝ְ⦐׾䲿爙㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

43. ؎ٝةؿؑ٦أ 7JT0QU4MJEFS 堣腉〳鋔⻉ 7JT

44. 剑黝⻉ 0QU xi xj xi xj 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

46. 剑黝⻉ 0QU xi xj xi xj 植㖈ך⦼ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

54. 剑黝⻉ 0QU xi xj xi xj ِ٦ؠך箟꧊ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

56. 剑黝⻉ 0QU xi xj xi xj 荈⹛锃眍 ِ٦ؠך箟꧊ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

57. 黝欽⢽ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

58. 黝欽⢽ $PMPS$PSSFDUJPO ⹛歗 ةأؙⱖ溪ך葿酡姻խػًٓة侧㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

59. ⹛歗㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

60. 黝欽⢽ $BNFSB-JHIU ⹛歗㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

61. 黝欽⢽ $BNFSB-JHIU ةأؙ 葺ְؽُ٦׾䱱ׅ ػًٓة侧 Y Z [ 僇׷ׁ Y Z [ 鋔ꅿ錬㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

63. 黝欽⢽ 4IBEFS 颵䠬 ةأؙأذٖٝأ醡ך暟⡤ך鋅׋湡ךرؠ؎ٝ ⹛歗㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

64. 黝欽⢽ 4IBEFS 颵䠬 ةأؙأذٖٝأ醡ך暟⡤ך鋅׋湡ךرؠ؎ٝ 鐰⣣鯥ˑSFBMJTUJDBTTUBJOMFTT˒ ػًٓة侧 h)JTGPS)PNF FHأذٖٝأ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

66. 黝欽⢽ 邌䞔ٌرؚٔٝ #MFOETIBQFػًٓة锃眍ח״׏ג邌䞔׾ⵖ䖴ׅ׷䩛岀 ⹛歗㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

67. 黝欽⢽ 邌䞔ٌرؚٔٝ #MFOETIBQFػًٓة锃眍ח״׏ג邌䞔׾ⵖ䖴ׅ׷䩛岀 ٓٝتيז邌䞔ך⢽ קה׿וךرؠ؎ָٝ♶荈搫㠨׸גְ׷ 鐰⣣鯥OBUVSBM OPUCSPLFO ػًٓة侧㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

69. 黝欽⢽ 邌䞔ٌرؚٔٝ OPUOBUVSBM OBUVSBM 00..1155 00..3311 00..4499 00..6611 0.88 鋔鋙涸ח㧅䔲ז䱿㹀穠卓ָ䖤׵׸׋ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

70. 黝欽⢽ 邌䞔ٌرؚٔٝ OPUOBUVSBM OBUVSBM 00..1155 00..3311 00..4499 00..6611 0.88 鋔鋙涸ח㧅䔲ז䱿㹀穠卓ָ䖤׵׸׋ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

71. 黝欽⢽窟鎘ر٦ة $PMPS $PSSFDUJPO $BNFSB -JHIU 4IBEFS 'BDJBM YQSFTTJPO ػًٓة侧鐰⣣鯥 HPPE HPPE SFBMJTUJD OBUVSBM 嫰鯰ر٦ة侧さ鎘ꆃ겘 64% 64% 64% 64% さ鎘儗꟦ NJO NJO NJO NJO 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

72. 鐰⣣ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

73. 鐰⣣鍑匿䩛岀　勲 XSU嫰鯰侧 ❛䊴嗚鏾鑫稢 Yuki Koyama, Daisuke Sakamoto, and Takeo Igarashi. 2014. Crowd-powered parameter analysis for visual design exploration. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14). ACM, New York, NY, USA, 65-74. 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

74. 鐰⣣ِ٦ؠ؎ٝةؿؑ٦أ ِ٦ؠأةر؍ ➂ך㷕欰חِ٦ؠ؎ٝةؿؑ٦أ׾⢪׏ג׮׵ֲ 4ZTUFN6TBCJMJUZ4DBMF#BOHPS ˑHPPE˒ WFSBHF 4% 鑫稢 Yuki Koyama, Daisuke Sakamoto, and Takeo Igarashi. 2014. Crowd-powered parameter analysis for visual design exploration. In Proceedings of the 27th annual ACM symposium on User interface software and technology (UIST '14). ACM, New York, NY, USA, 65-74. 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

75. 陽锷תה׭ 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

76. ٔىذ٦ءّٝ ! ةأָؙ㢌׻׷䏝חؙٓؐسا٦ءؚٝך װ׶湫׃ָ䗳銲 ! 鸬竲涸זػًٓةך׫黝欽〳腉 ꨄ侔涸זػًٓةכ♶〳㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

77. תה׭ ! ؼُ٦وٝ؝ٝؾُذ٦ءّٝח״׏ג ⟣䠐ךرؠ؎ٝ瑞꟦׾鍑匿ׅ׷䩛岀 ! رؠ؎ٝ䱱稊ך׋׭ך؎ٝةؿؑ٦أ 4NBSU4VHHFTUJPO 7JT0QU4MJEFS ! אך殯ז׷رؠ؎ٝ걄㚖ח黝欽㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

81. 鋔鋙رؠ؎ٝ䱱稊ך׋׭ך ؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿㼭㿊酔䊹խխ㖩劤㣐➜խխ✿⼧䆀⨳㣗

82. 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

83. $SPXETPVSDJOH)VNBO$PNQVUBUJPO )VNBO@ $SPXE1PXFSFE )VNBO$PNQVUBUJPO $PNQVUBUJPO@ $SPXETPVSDJOH $SPXETPVSDJOHBTLDSPXEXPSLFSTUPEPTPNFUBTLT )VNBO$PNQVUBUJPOBTTVNFIVNBOBTBQSPDFTTPS TFF2VJOOGPSEFUBJMT 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

84. .JDSP5BTLGPS$SPXETPVSDJOH 8IBUJTUIFHPPEOFTTTDPSF ✗OB®WFBQQSPBDI BTLBCTPMVUFWBMVF • EJDVMUUPDPOTJTUFOUMZBOTXFSFWFSZUJNF • EJFSFOUTDBMFGPSFBDIXPSLFS 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

85. .JDSP5BTLGPS$SPXETPVSDJOH ✔ QBJSXJTFDPNQBSJTPO 4FDPSE(JOHPME$IBVEPIVSJ 8IJDIJTCFUUFS FBTZGPSOPOFYQFSUT TVJUBCMFGPSDSPXETPVSDJOH 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

86. .JDSP5BTLGPS$SPXETPVSDJOH Which of the two images of OPVOis more BEKFDUJWF? ! For example, DMBVTF.! Please choose the most appropriate one from the 5 options below.! YBNQMFPGVTFSˏTTQFDJDBUJPO OPVO vegetables BEKFDUJWF good DMBVTF suppose that you had to choose one of these two images to appear in a magazine or product advertisement! 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

87. .JDSP5BTLGPS$SPXETPVSDJOH 2 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

88. 2VBMJUZ$POUSPM ˑ%VQMJDBUF˒BQQSPBDI4FDPSE (JOHPME $IBVEIVSJ 2 2 %FUFDUDPOUSBEJDUJPO 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

89. 2VBMJUZ$POUSPM ˑ%VQMJDBUF˒BQQSPBDI4FDPSE(JOHPME$IBVEIVSJ TLRVFTUJPOTSTU TLUIFTBNFRVFTUJPOTXJUIJQQFEBSSBOHFNFOUT *GBQBJSPGBOTXFSTJTDPOUSBEJDUFE EJTDBSEUIFN *GPWFSIBMGBOTXFSTBSFDPOUSBEJDUFE EJTDBSEBMMPGUIFN 㼭㿊酔䊹㖩劤㣐➜✿⼧䆀⨳㣗խխ鋔鋙رؠ؎ٝ䱱稊ך׋׭ךؙٓؐسا٦ءؚٝ׾崞欽׃׋ػًٓة瑞꟦鍑匿խխ8*44

視覚デザイン探索のためのクラウドソーシングを活用したパラメタ空間解析（WISS 2014）

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