IPSJ SIG Technical Report Vol.2017-SLP-115 No /2/18 1,a) 1 1,2 Sakriani Sakti [1][2] [3][4] [5][6][7] [8] [9] 1 Nara Institute of Scie

Similar documents
101†^›ªŒ{‘~”q.pwd

The Japanese Journal of Experimental Social Psychology. 1994, Vol. 34, No.1, The effect of negative affect and involvement on decision-making pr

( : A9TB2096)

untitled

”Лï‡Æ™²“¸_‚æ4“ƒ__‘dflÅPDF‘‚‡«‘o‡µ.pdf

’V‰K2.ren

081116ヨコ/妹尾江里子 199号


(’Ó)”R

56 56 The Development of Preschool Children s Views About Conflict Resolution With Peers : Diversity of changes from five-year-olds to six-year-olds Y

21 Pitman-Yor Pitman- Yor [7] n -gram W w n-gram G Pitman-Yor P Y (d, θ, G 0 ) (1) G P Y (d, θ, G 0 ) (1) Pitman-Yor d, θ, G 0 d 0 d 1 θ Pitman-Yor G

No. 3 Oct The person to the left of the stool carried the traffic-cone towards the trash-can. α α β α α β α α β α Track2 Track3 Track1 Track0 1

04-p45-67cs5.indd

( : A8TB2163)

IPSJ SIG Technical Report Vol.2009-DPS-141 No.20 Vol.2009-GN-73 No.20 Vol.2009-EIP-46 No /11/27 1. MIERUKEN 1 2 MIERUKEN MIERUKEN MIERUKEN: Spe

161 body - mind problem two - factor theory of emotion Schachter & Singer, 1962 physiological arousal Arousal

02_加藤氏_4.indd

A Japanese Word Dependency Corpus ÆüËܸì¤Îñ¸ì·¸¤ê¼õ¤±¥³¡¼¥Ñ¥¹


Izard 10 [1]Plutchik 8 [2] [3] Izard Neviarouskaya [4][5] 2.2 Hao [6] 1 Twitter[a] a) Shook Wikipedia

( ) ATR

66-1 田中健吾・松浦紗織.pwd



@08470030ヨコ/篠塚・窪田 221号



2016 Institute of Statistical Research

_02新井.indd

The Japanese Journal of Psychology 2000, Vol. 71, No. 3, Emotion recognition: Facial components associated with various emotions Ken Gouta and


!

Computational Semantics 1 category specificity Warrington (1975); Warrington & Shallice (1979, 1984) 2 basic level superiority 3 super-ordinate catego

日本人の子育て観-JGSS-2008 データに見る社会の育児能力に対する評価-

2 251 Barrera, 1986; Barrera, e.g., Gottlieb, 1985 Wethington & Kessler 1986 r Cohen & Wills,

IPSJ SIG Technical Report Vol.2010-NL-199 No /11/ treebank ( ) KWIC /MeCab / Morphological and Dependency Structure Annotated Corp


f(x) = e x2 25 d f(x) 0 x d2 dx f(x) 0 x dx2 f(x) (1 + ax 2 ) 2 lim x 0 x 4 a 3 2 a g(x) = 1 + ax 2 f(x) g(x) 1/2 f(x)dx n n A f(x) = Ax (x R

Duchenne 2 Duchenne Smile non-duchenne Smile [1] Duchenne Smile non-duchenne Smile Surakka EMG [2] 2 [3] Ekman [4] Duchenne Smile 2.2 /i/ 2.3 (

[1], B0TB2053, i

The Japanese Journal of Psychology 1990, Vol. 61, No. 3, The effects of a recipient's openness and conveyance to a third party of the self-dis

時間割引:双曲割引と弱加法性

(2008) JUMAN *1 (, 2000) google MeCab *2 KH coder TinyTextMiner KNP(, 2000) google cabocha(, 2001) JUMAN MeCab *1 *2 h


[4], [5] [6] [7] [7], [8] [9] 70 [3] 85 40% [10] Snowdon 50 [5] Kemper [3] 2.2 [11], [12], [13] [14] [15] [16]

untitled


Stepwise Chow Test * Chow Test Chow Test Stepwise Chow Test Stepwise Chow Test Stepwise Chow Test Riddell Riddell first step second step sub-step Step

_16_.indd

JAPAN MARKETING JOURNAL 122 Vol.31 No.22011

THE JAPANESE JOURNAL OF PERSONALITY 2007, Vol. 15 No. 2, 217–227

2016年2月27日11s感性工学会パンフレット

Jpn. J. Sch. Psy., 16(1) (2016)

パーソナリティ研究 2005 第14巻 第1号 1–16

DSM A TIME HIROSHIMA CD HIROSHIMA 2013 NHK CD 1996 B B A B

The Japanese Journal of Psychology 1984, Vol. 55, No. 3, Effects of self-disclosure on interpersonal attraction Masahiko Nakamura (Department

201609発達・教育臨床論コース

20 Method for Recognizing Expression Considering Fuzzy Based on Optical Flow


日本看護管理学会誌15-2

CD納品用.indd

PDFŠpŒ{Ł¶


自然言語処理16_2_45


emarketer SNS / SNS 2009 SNS 15 64

‰gficŒõ/’ÓŠ¹

Hohenegger & Schär, a cm b Kitoh et. al., Gigerenzer et. al. Susan et. al.

Japanese Journal of Applied Psychology

The Japanese Journal of Psychology 1974, Vol. 44, No. 6, AN ANALYSIS OF WORD ATTRIBUTES IMAGERY, CONCRETENESS, MEANINGFULNESS AND EASE OF LEAR

Table 1 Means and standard deviations of topic familiarity for the topics used in the study Note. standard deviations are in parenthesis.

心理学部紀要 8号☆/5.東

untitled

18 No. 79, The Righteous Mind 3 2 altruisme Systeme de Politique Positive altruisme

untitled

( )

DEIM Forum 2019 H Web 1 Tripadvisor

03小塩真司.indd

60.0% 40.0% 28.4% 31.7% 36.2% 43.0% 48.4% 50.5% 52.5% 20.0% 0.0%

2015 9


パーソナリティ研究 2005 第13巻 第2号 170–182

1(a) (b),(c) - [5], [6] Itti [12] [13] gaze eyeball head 2: [time] [7] Stahl [8], [9] Fang [1], [11] 3 -

2


Weiner, Graham & Chandler, 1982 Weiner, Graham, Stern, & Lawson, 1982 Blaine, Crocker, & Major, ;

:. Bowlby, J Ainsworth, M. S. Main, M. Morgan, H. Ainsworth, M. S. D Main, M. Morgan, H.

Japanese Journal of Applied Psychology

Japanese Journal of Applied Psychology

表紙1


Gaze Head Eye (a) deg (b) 45 deg (c) 9 deg 1: - 1(b) - [5], [6] [7] Stahl [8], [9] Fang [1], [11] Itti [12] Itti [13] [7] Fang [1],

JAPAN MARKETING JOURNAL 122 Vol.31 No.22011

02[ ]小山・池田(責)岩.indd

Jpn. J. Personality 18(2): (2009)

社会学部紀要 120号☆/9.池内

Title ベンチャー企業の研究開発支出の決定要因 日本と台湾の事例を中心に Author(s) 蘇, 顯揚 Citation 經濟論叢 (1996), 158(1): Issue Date URL Right

Yoshiko Araki mezzo soprano Ricital

100 SDAM SDAM Windows2000/XP 4) SDAM TIN ESDA K G G GWR SDAM GUI

妹尾江里子  79‐97/79‐97

Transcription:

1,a) 1 1,2 Sakriani Sakti 1 1 1 1. [1][2] [3][4] [5][6][7] [8] [9] 1 Nara Institute of Science and Technology 2 Japan Science and Technology Agency a) ishikawa.yoko.io5@is.naist.jp 2. 1 Belief-Desire theory of emotion (BDTE)[10] BDTE (Desire) (Belief) 1

BD 1 u t b t e t s t SVR 2.2 Russell [13] Russell valence arousal 2 1 valence arousal 0 Russell BDTE b t e t 1 3 2.3 2.1 2.2 u t s t 2 2.1 5 5: 3: 1: SVR (Support Vector Regression) SVR SVM (Support Vector Machine) SVR 3 2 2-1 q i r i q i u t cos 2 2.1 SVR 2

2-2 u t q i b t b i 1 e t e i 3. [15] [16] 3.1 20 200 1000 1 1 200 200 200 200 200 2282 2173 2147 2175 2203 2292 2185 2180 2155 2216 3 3 2 5 5 2 3 2 3 NO 3 2 20% 30% 20% 2 1 2964 26.36% 4 1155 10.27% 2 2967 26.39% 5 1100 9.78% 3 1935 17.21% NO 1123 9.99% 3 6502 29.53% 5491 24.94% 1940 8.81% 818 3.72% 4978 22.61% NO 2286 10.38% Fleiss Kappa[14] Fleiss Kappa 0.4 0.4 4 4 22008 10980 Fleiss Kappa 0.41 0.37 0.85 1 4. 4.1 3 NEUTRAL (NEUTRAL) RANDOM 3

PROPOSAL 3 2 1 3 5 5: 3: 1: 102 33 69 20 23 30 36 40 32 50 11 4.2 5 6 5 NEU 88 14 86.28% RAN 90 12 88.24% PRO 91 11 89.22% 6 NEU 11.47 9.96 RAN 10.82 9.47 PRO 10.84 9.62 PROPOSAL NEUTRAL RANDOM, PROPOSAL 3 7 NEUTRAL PROPOSAL 7 (5) (4) PROPOSAL PROPOSAL (3) PROPOSAL 3 7 NEU RAN PRO 1,2 41.18% 52.94% 48.04% 3 22.55% 22.55% 12.75% 4,5 36.27% 24.51% 39.22% NEU RAN PRO 1,2 23.53% 48.04% 38.24% 3 31.37% 24.51% 25.49% 4,5 45.10% 27.45% 36.27% NEUTRAL 4.3 PROPOSAL 8 (4) (5) 9 / (2) 8 S4,S5 U4 4 9 U5-S6 4

8 PROPOSAL 1 S1 U1 2.92 S2 U2 1.78 S3 U3 2.72 S4! U4 3.60 S5 U5 4.08 S6 9 PROPOSAL 2 S1 U1 1.32 S2 U2 2.23 S3 U3 2.25 S4 U4 3.88 S5 U5 3.30 S6 U6 1.86 S7 U7 S8 2.11 U8 2.86 S9 U9 4.54 S10 S4, S5, S6 10 PROPOSAL 10 / (1) 10 PROPOSAL S1 U1 0.98 S2 U2 0.95 S3 U3 1.71 S4 U4 0.76 S5 U5 1.46 S6 U6 0.78 S7 S3 U3 S4 5. 5

[13] Russell, J. A. A circumplex model of affect. Journal of Personality and Social Psychology, 39, pp. 1161 1178, 1980. [14] Fleiss, J. L. Statistical methods for rates and proportions. 2nd ed. New York: Wiley, 1981. [15] Howe, J. The rise of crowdsourcing. Wired Magazine, 14, pp. 1 4, 2006. [16],,, Sakti Sakriani,.. 7, 78, pp. 141-143, 2015. [1] Ekman, P. Facial expression and emotion. American Psychologist, 48, pp. 384 392, 1993. [2] Clark, M. S., and Reis, H. T. Interpersonal processes in close relationships. Annual Review of Psychology, 39, pp. 609 672, 1983. [3] Keltner, D., and Haidtm J. Social functions of emotions at multiple levels of analysis. Cognition & Emotion, 13, pp. 505 522, 1999. [4] Morris, M. W., and Keltner, D. How emotions work: An analysis of the social functions of emotional expression in negotiations. Research in Organizational Behavior, 22, pp. 1 50, 2000. [5] Forgas, J. P. On feeling good and getting your way: Mood effects on negotiator cognition and bargaining strategies. Journal of Personality and Social Psychology, 74, pp. 565 577, 1998. [6] Carnevale, P. J., and Isen, A. The influence of positive affect and visual access on the discovery of integrative solutions in bilateral negotiation. Organizational Behavior and Human Decision Processes 37, pp. 1 13, 1986. [7] Sinaceur, M., and Tiedens, L. Z. Get mad and get more than even: When and why anger expression is effective in negotiations. Journal of Experimental Social Psychology, 42, pp. 314 322, 2006. [8],,.., 29, pp. 1-4, 2015. [9] Mazzotta, I., de Rosis, F., and Carofiglio, V. Portia: A user-adapted persuasion system in the healthy-eating domain. IEEE Intelligent Systems, 22, pp. 42 51, 2007. [10] Reisenzein, R. Emotions as metarepresentational states of mind: Naturalizing the beliefdesire theory of emotion. Cognitive Systems Research, 10, pp. 6 20, 2009. [11] Taku Kudo, Kaoru Yamamoto, and Yuji Matsumoto. Applying Conditional Random Fields to Japanese Morphological Analysis. In Processing of the Conference on Empitical Methods in Natural Language Processing, pp. 230 237, 2004. [12] Hiroya Takamura, Takashi Inui, and Manabu Okumura. Extracting semantic orientations of words using spin model. in Proceedings of the Annual Meeting on Association for Computational Linguistics. Association for Computational Linguistics, 43, pp. 133 140, 2005. 6