掘り下げ質問を行う就職面接対話システムの自律型アンドロイドでの実装と評価
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| Published in | 人工知能学会論文誌 Vol. 35; no. 5; pp. D-K43_1 - 10 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | Japanese |
| Published |
一般社団法人 人工知能学会
01.09.2020
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1346-0714 1346-8030 |
| DOI | 10.1527/tjsai.35-5_D-K43 |
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| Author | 原, 康平 高梨, 克也 中村, 静 井上, 昂治 河原, 達也 ララ, ディベッシュ |
|---|---|
| Author_xml | – sequence: 1 fullname: 河原, 達也 organization: 京都大学大学院情報学研究科 – sequence: 1 fullname: 井上, 昂治 organization: 京都大学大学院情報学研究科 – sequence: 1 fullname: 高梨, 克也 organization: 滋賀県立大学人間文化学部 – sequence: 1 fullname: 中村, 静 organization: 京都大学大学院情報学研究科 – sequence: 1 fullname: ララ, ディベッシュ organization: 京都大学大学院情報学研究科 – sequence: 1 fullname: 原, 康平 organization: 京都大学大学院情報学研究科 |
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| Copyright | 人工知能学会 2020 |
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| DOI | 10.1527/tjsai.35-5_D-K43 |
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| EndPage | 10 |
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| References | [Damian 15] Damian, I., Baur, T., Lugrin, B., Gebhard, P., Mehlmann, G., and Andr´e, E.: Games are better than books: In-situ comparison of an interactive job interview game with conventional training, in AIED, pp. 84–94 (2015) [Rao S. B 17] Rao S. B, P., Rasipuram, S., Das, R., and Jayagopi, D. B.: Automatic assessment of communication skill in non-conventional interview settings: A comparative study, in ICMI, pp. 221–229 (2017) [Naim 15] Naim, I., Tanveer, M. I., Gildea, D., and Hoque, M. E.: Automated prediction and analysis of job interview performance: The role of what you say and how you say it, in IEEE FG (2015) [Chiba 17] Chiba, Y. and Ito, A.: Estimation of user’s willingness to talk about the topic: Analysis of interviews between humans, in Dialogues with Social Robots, pp. 411–419, Springer (2017) [Su 18] Su, M.-H., Wu, C.-H., Huang, K.-Y., Hong, Q.-B., and Huang, H.-H.: Follow-up question generation using pattern-based seq2seq with a small corpus for interview coaching, in Interspeech, pp. 1006–1010 (2018) [Kawahara 18] Kawahara, T.: Spoken Dialogue System for a Humanlike Conversational Robot ERICA, in IWSDS (2018) [Lala 17] Lala, D., Milhorat, P., Inoue, K., Ishida, M., Takanashi, K., and Kawahara, T.: Attentive listening system with backchanneling, response generation and flexible turn-taking, in SIGDIAL, pp. 127–136 (2017) [Straub 16] Straub, I.: ‘It looks like a human!’The interrelation of social presence, interaction and agency ascription: a case study about the effects of an android robot on social agency ascription, AI & Society, Vol. 31, No. 4, pp. 553–571 (2016) [Feiler 16] Feiler, A. R. and Powell, D. M.: Behavioral expression of job interview anxiety, Journal of Business and Psychology, Vol. 31, No. 1, pp. 155–171 (2016) [Hoque 13] Hoque, M. E., Courgeon, M., Martin, J.-C., Mutlu, B., and Picard, R. W.: MACH: My automated conversation coach, in UBICOMP, pp. 697–706 (2013) [Johnston 13] Johnston, M., Ehlen, P., Conrad, F. G., Schober, M. F., Antoun, C., Fail, S., Hupp, A., Vickers, L., Yan, H., and Zhang, C.: Spoken dialog systems for automated survey interviewing, in SIGDIAL, pp. 329–333 (2013) [McCarthy 04] McCarthy, J. and Goffin, R.: Measuring job interview anxiety: Beyond weaknees and sweaty palms, Personnel Psychology, Vol. 57, No. 3, pp. 607–637 (2004) [Kinsella 18] Kinsella, B.: Data breakdown, how consumers use smart speakers today (2018), https://voicebot.ai/2018/03/21/databreakdown-consumers-use-smart-speakers-today [Stent 06] Stent, A., Stenchikova, S., and Marge, M.: Dialog systems for surveys: The Rate-a-Course system, in SLT, pp. 210–213 (2006) [Callejas 14] Callejas, Z., Ravenet, B., Ochs, M., and Pelachaud, C.: A computational model of social attitudes for a virtual recruiter, in AAMAS, pp. 93–100 (2014) [Inoue 16] Inoue, K., Milhorat, P., Lala, D., Zhao, T., and Kawahara, T.: Talking with ERICA, an autonomous android, in SIGDIAL, pp. 212–215 (2016) [Langer 16] Langer, M., K¨onig, C. J., Gebhard, P., and Andr´e, E.: Dear computer, teach me manners: Testing virtual employment interview training, International Journal of Selection and Assessment, Vol. 24, No. 4, pp. 312–323 (2016) [Ishihara 18] Ishihara, T., Nitta, K., Nagasawa, F., and Okada, S.: Estimating interviewee’s willingness in multimodal human robot interview interaction, in ICMI, pp. 1–6 (2018) [Qin 19] Qin, C., Zhu, H., Zhu, C., Xu, T., Zhuang, F., Ma, C., Zhang, J., and Xiong, H.: DuerQuiz: A personalized question recommender system for intelligent job interview, in KDD, pp. 2165–2173 (2019) [Cook 00] Cook, K.W., Vance, C. A., and Spector, P. E.: The relation of candidate personality with selection-interview outcomes, Journal of Applied Social Psychology, Vol. 30, No. 4, pp. 867–885 (2000) [Yu 19] Yu, Z., Ramanarayanan, V., Lange, P., and Suendermann- Oeft, D.: An open-source dialog system with real-time engagement tracking for job interview training applications, in Advanced Social Interaction with Agents, pp. 199–207, Springer (2019) [Lala 18] Lala, D., Inoue, K., and Kawahara, T.: Evaluation of realtime deep learning turn-taking models for multiple dialogue scenarios, in ICMI, pp. 78–86 (2018) [Ishi 16] Ishi, C. T., Liu, C., Even, J., and Hagita, N.: Hearing support system using environment sensor network, in IROS, pp. 1275–1280 (2016) [Cameron 15] Cameron, D., Fernando, S., Collins, E., Millings, A., Moore, R., Sharkey, A., Evers, V., and Prescott, T.: Presence of life-like robot expressions influences children’s enjoyment of humanrobot interactions in the field, in AISB Convention (2015) [Anderson 13] Anderson, K., Andr´e, E., Baur, T., Bernardini, S., Chollet, M., Chryssafidou, E., Damian, I., Ennis, C., Egges, A., Gebhard, P., Jones, H., Ochs, M., Pelachaud, C., Porayska-Pomsta, K., Rizzo, P., and Sabouret, N.: The TARDIS framework: Intelligent virtual agents for social coaching in job interviews, in ACE, pp. 476–491 (2013) [Su 19] Su, M.-H., Wu, C.-H., and Chang, Y.: Follow-up question generation using neural tensor network-based domain ontology population in an interview coaching system, in Interspeech, pp. 4185–4189 (2019) [Powell 18] Powell, D. M., Stanley, D. J., and Brown, K. N.: Metaanalysis of the relation between interview anxiety and interview performance, Canadian Journal of Behavioural Science, Vol. 50, No. 4, pp. 195–207 (2018) [Ueno 18] Ueno, S., Inaguma, H., Mimura, M., and Kawahara, T.: Acoustic-to-word attention-based model complemented with character-level CTC-based model, in ICASSP, pp. 5804–5808 (2018) [Gebhard 14] Gebhard, P., Baur, T., Damian, I., Mehlmann, G., Wagner, J., and Andr´e, E.: Exploring interaction strategies for virtual characters to induce stress in simulated job interviews, in AAMAS, pp. 661–668 (2014) [Glas 16] Glas, D. F., Minaot, T., Ishi, C. T., Kawahara, T., and Ishiguro, H.: ERICA: The ERATO Intelligent Conversational Android, in ROMAN, pp. 22–29 (2016) [Kobori 16] Kobori, T., Nakano, M., and Nakamura, T.: Small talk improves user impressions of interview dialogue systems, in SIGDIAL, pp. 370–380 (2016) [Baur 13] Baur, T., Damian, I., Gebhard, P., Porayska-Pomsta, K., and Andr´e, E.: A job interview simulation: Social cue-based interaction with a virtual character, in SocialCom, pp. 220–227 (2013) |
| References_xml | – reference: [Gebhard 14] Gebhard, P., Baur, T., Damian, I., Mehlmann, G., Wagner, J., and Andr´e, E.: Exploring interaction strategies for virtual characters to induce stress in simulated job interviews, in AAMAS, pp. 661–668 (2014) – reference: [Naim 15] Naim, I., Tanveer, M. I., Gildea, D., and Hoque, M. E.: Automated prediction and analysis of job interview performance: The role of what you say and how you say it, in IEEE FG (2015) – reference: [Kobori 16] Kobori, T., Nakano, M., and Nakamura, T.: Small talk improves user impressions of interview dialogue systems, in SIGDIAL, pp. 370–380 (2016) – reference: [Straub 16] Straub, I.: ‘It looks like a human!’The interrelation of social presence, interaction and agency ascription: a case study about the effects of an android robot on social agency ascription, AI & Society, Vol. 31, No. 4, pp. 553–571 (2016) – reference: [Glas 16] Glas, D. F., Minaot, T., Ishi, C. T., Kawahara, T., and Ishiguro, H.: ERICA: The ERATO Intelligent Conversational Android, in ROMAN, pp. 22–29 (2016) – reference: [Ueno 18] Ueno, S., Inaguma, H., Mimura, M., and Kawahara, T.: Acoustic-to-word attention-based model complemented with character-level CTC-based model, in ICASSP, pp. 5804–5808 (2018) – reference: [Langer 16] Langer, M., K¨onig, C. J., Gebhard, P., and Andr´e, E.: Dear computer, teach me manners: Testing virtual employment interview training, International Journal of Selection and Assessment, Vol. 24, No. 4, pp. 312–323 (2016) – reference: [Damian 15] Damian, I., Baur, T., Lugrin, B., Gebhard, P., Mehlmann, G., and Andr´e, E.: Games are better than books: In-situ comparison of an interactive job interview game with conventional training, in AIED, pp. 84–94 (2015) – reference: [Anderson 13] Anderson, K., Andr´e, E., Baur, T., Bernardini, S., Chollet, M., Chryssafidou, E., Damian, I., Ennis, C., Egges, A., Gebhard, P., Jones, H., Ochs, M., Pelachaud, C., Porayska-Pomsta, K., Rizzo, P., and Sabouret, N.: The TARDIS framework: Intelligent virtual agents for social coaching in job interviews, in ACE, pp. 476–491 (2013) – reference: [Kinsella 18] Kinsella, B.: Data breakdown, how consumers use smart speakers today (2018), https://voicebot.ai/2018/03/21/databreakdown-consumers-use-smart-speakers-today/ – reference: [Feiler 16] Feiler, A. R. and Powell, D. M.: Behavioral expression of job interview anxiety, Journal of Business and Psychology, Vol. 31, No. 1, pp. 155–171 (2016) – reference: [Cameron 15] Cameron, D., Fernando, S., Collins, E., Millings, A., Moore, R., Sharkey, A., Evers, V., and Prescott, T.: Presence of life-like robot expressions influences children’s enjoyment of humanrobot interactions in the field, in AISB Convention (2015) – reference: [Su 18] Su, M.-H., Wu, C.-H., Huang, K.-Y., Hong, Q.-B., and Huang, H.-H.: Follow-up question generation using pattern-based seq2seq with a small corpus for interview coaching, in Interspeech, pp. 1006–1010 (2018) – reference: [Ishi 16] Ishi, C. T., Liu, C., Even, J., and Hagita, N.: Hearing support system using environment sensor network, in IROS, pp. 1275–1280 (2016) – reference: [Johnston 13] Johnston, M., Ehlen, P., Conrad, F. G., Schober, M. F., Antoun, C., Fail, S., Hupp, A., Vickers, L., Yan, H., and Zhang, C.: Spoken dialog systems for automated survey interviewing, in SIGDIAL, pp. 329–333 (2013) – reference: [Qin 19] Qin, C., Zhu, H., Zhu, C., Xu, T., Zhuang, F., Ma, C., Zhang, J., and Xiong, H.: DuerQuiz: A personalized question recommender system for intelligent job interview, in KDD, pp. 2165–2173 (2019) – reference: [McCarthy 04] McCarthy, J. and Goffin, R.: Measuring job interview anxiety: Beyond weaknees and sweaty palms, Personnel Psychology, Vol. 57, No. 3, pp. 607–637 (2004) – reference: [Callejas 14] Callejas, Z., Ravenet, B., Ochs, M., and Pelachaud, C.: A computational model of social attitudes for a virtual recruiter, in AAMAS, pp. 93–100 (2014) – reference: [Stent 06] Stent, A., Stenchikova, S., and Marge, M.: Dialog systems for surveys: The Rate-a-Course system, in SLT, pp. 210–213 (2006) – reference: [Yu 19] Yu, Z., Ramanarayanan, V., Lange, P., and Suendermann- Oeft, D.: An open-source dialog system with real-time engagement tracking for job interview training applications, in Advanced Social Interaction with Agents, pp. 199–207, Springer (2019) – reference: [Lala 17] Lala, D., Milhorat, P., Inoue, K., Ishida, M., Takanashi, K., and Kawahara, T.: Attentive listening system with backchanneling, response generation and flexible turn-taking, in SIGDIAL, pp. 127–136 (2017) – reference: [Ishihara 18] Ishihara, T., Nitta, K., Nagasawa, F., and Okada, S.: Estimating interviewee’s willingness in multimodal human robot interview interaction, in ICMI, pp. 1–6 (2018) – reference: [Kawahara 18] Kawahara, T.: Spoken Dialogue System for a Humanlike Conversational Robot ERICA, in IWSDS (2018) – reference: [Su 19] Su, M.-H., Wu, C.-H., and Chang, Y.: Follow-up question generation using neural tensor network-based domain ontology population in an interview coaching system, in Interspeech, pp. 4185–4189 (2019) – reference: [Baur 13] Baur, T., Damian, I., Gebhard, P., Porayska-Pomsta, K., and Andr´e, E.: A job interview simulation: Social cue-based interaction with a virtual character, in SocialCom, pp. 220–227 (2013) – reference: [Cook 00] Cook, K.W., Vance, C. A., and Spector, P. E.: The relation of candidate personality with selection-interview outcomes, Journal of Applied Social Psychology, Vol. 30, No. 4, pp. 867–885 (2000) – reference: [Rao S. B 17] Rao S. B, P., Rasipuram, S., Das, R., and Jayagopi, D. B.: Automatic assessment of communication skill in non-conventional interview settings: A comparative study, in ICMI, pp. 221–229 (2017) – reference: [Powell 18] Powell, D. M., Stanley, D. J., and Brown, K. N.: Metaanalysis of the relation between interview anxiety and interview performance, Canadian Journal of Behavioural Science, Vol. 50, No. 4, pp. 195–207 (2018) – reference: [Inoue 16] Inoue, K., Milhorat, P., Lala, D., Zhao, T., and Kawahara, T.: Talking with ERICA, an autonomous android, in SIGDIAL, pp. 212–215 (2016) – reference: [Hoque 13] Hoque, M. E., Courgeon, M., Martin, J.-C., Mutlu, B., and Picard, R. W.: MACH: My automated conversation coach, in UBICOMP, pp. 697–706 (2013) – reference: [Lala 18] Lala, D., Inoue, K., and Kawahara, T.: Evaluation of realtime deep learning turn-taking models for multiple dialogue scenarios, in ICMI, pp. 78–86 (2018) – reference: [Chiba 17] Chiba, Y. and Ito, A.: Estimation of user’s willingness to talk about the topic: Analysis of interviews between humans, in Dialogues with Social Robots, pp. 411–419, Springer (2017) |
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| Title | 掘り下げ質問を行う就職面接対話システムの自律型アンドロイドでの実装と評価 |
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