{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:25:02Z","timestamp":1747196702279,"version":"3.40.5"},"reference-count":21,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. & Syst."],"published-print":{"date-parts":[[2014]]},"DOI":"10.1587\/transinf.2014edp7097","type":"journal-article","created":{"date-parts":[[2014,11,30]],"date-time":"2014-11-30T23:30:16Z","timestamp":1417390216000},"page":"3171-3180","source":"Crossref","is-referenced-by-count":7,"title":["Improvement of Interruptibility Estimation during PC Work by Reflecting Conversation Status"],"prefix":"10.1587","volume":"E97.D","author":[{"given":"Satoshi","family":"HASHIMOTO","sequence":"first","affiliation":[{"name":"Graduate School of Tokyo University of Agriculture and Technology"}]},{"given":"Takahiro","family":"TANAKA","sequence":"additional","affiliation":[{"name":"Graduate School of Tokyo University of Agriculture and Technology"}]},{"given":"Kazuaki","family":"AOKI","sequence":"additional","affiliation":[{"name":"Graduate School of Tokyo University of Agriculture and Technology"}]},{"given":"Kinya","family":"FUJITA","sequence":"additional","affiliation":[{"name":"Graduate School of Tokyo University of Agriculture and Technology"}]}],"member":"532","reference":[{"unstructured":"[1] B.P. Bailey, J.A. Konstan, and J.V. Carlis, \u201cThe effects of interruptions on task performance, annoyance, and anxiety in the user interface,\u201d Proc. INTERACT'01, vol.1, pp.593-601, July 2001.","key":"1"},{"unstructured":"[2] M. Minakuchi, T. Takeuchi, I. Kuramoto, Y. Shibuya, and T. Tsujino, \u201cAn automatic estimation method for busyness at deskwork,\u201d Trans. Hum. Interf. Soc., vol.6, no.1, pp.69-74, Feb. 2004. (in Japanese).","key":"2"},{"unstructured":"[3] S.T. Iqbal and B.P. Bailey, \u201cInvestigating the effectiveness of mental workload as a predictor of opportune moments for interruption,\u201d Proc. ACM CHI'05, pp.1489-1492, April 2005.","key":"3"},{"unstructured":"[4] R. Abe, T. Tanaka, and K. Fujita, \u201cStudy of uninterruptibility estimation based on head motion and PC operation records during desk work,\u201d Corres. Hum. Interf. Soc., vol.13, no.10, pp.15-22, Nov. 2011. (in Japanese)","key":"4"},{"doi-asserted-by":"crossref","unstructured":"[5] J. Fogarty, S.E. Hudson, C.G. Atkeson, D. Avrahami, J. Forlizzi, S. Kiesler, J.C. Lee, and J. Yang, \u201cPredicting human interruptibility with sensors,\u201d ACM Trans. CHI, vol.12, no.1, pp.119-146, March 2005.","key":"5","DOI":"10.1145\/1057237.1057243"},{"doi-asserted-by":"crossref","unstructured":"[6] D. Siewiorek, A. Smailagic, J. Furukawa, N. Moraveji, K. Reiger, and J. Shaffe, \u201cSenSay: A context-aware mobile phone,\u201d Proc. IEEE ISWC'03, p.248, Oct. 2003.","key":"6","DOI":"10.1109\/ISWC.2003.1241422"},{"unstructured":"[7] T. Tanaka, S. Fukasawa, T. Kanamaru, M. Nonaka, and K. Fujita, \u201cStudy of uninterruptibility estimation method for office worker during PC work,\u201d Proc. Hum. Interf. Symp.'11, pp.333-338, Sept. 2011. (in Japanese)","key":"7"},{"doi-asserted-by":"crossref","unstructured":"[8] K. Aoki, S. Sato, T. Tanaka, and K. Fujita, \u201cA feasibility of office interruptibility estimation based on ceiling camera images and sounds,\u201d Proc. IEEE VR'13, pp.1-4, March 2013.","key":"8","DOI":"10.1109\/VR.2013.6549437"},{"doi-asserted-by":"crossref","unstructured":"[9] S. Hashimoto, T. Tanaka, K. Aoki, and K. Fujita, \u201cEstimation of interruptibility during office work based on PC activity and conversation,\u201d Proc. HCI International 2013, vol.3, pp.297-306, July 2013.","key":"9","DOI":"10.1007\/978-3-642-39226-9_33"},{"unstructured":"[10] S. Honda, H. Tomioka, T. Kimura, T. Oosawa, K. Okada, and Y. Matsushita, \u201cA home office environment based on the concentration degrees of workers \u2014 A virtual office system \u201cValentine\u201d,\u201d IPSJ J., vol.39, no.5, pp.1472-1483, May 1998. (in Japanese)","key":"10"},{"unstructured":"[11] K. Shimizu, K. Yamashita, K. Nishimoto, and S. Kunifuji, \u201cA system that provides personal workload awareness using character agent,\u201d Proc. Jpn Soc. Artif. Intell., 1B3-03, pp.1-3, June 2004. (in Japanese)","key":"11"},{"doi-asserted-by":"crossref","unstructured":"[12] T. Tanaka and K. Fujita, \u201cStudy of user interruptibility estimation based on focused application switching,\u201d Proc. CSCW'11, pp.721-724, March 2011.","key":"12","DOI":"10.1145\/1958824.1958954"},{"doi-asserted-by":"crossref","unstructured":"[13] K. Ishizuka and T. Nakatani, \u201cStudy of noise robust voice activity detection based on periodic component to aperiodic component ratio,\u201d Proc. ISCA SAPA'06, pp.65-70, Sept. 2006.","key":"13","DOI":"10.21437\/Interspeech.2007-93"},{"doi-asserted-by":"crossref","unstructured":"[14] C.F. Juang, C.N. Cheng, and T.M. Chen, \u201cSpeech detection in noisy environments by wavelet energy-based recurrent neural fuzzy network,\u201d Expert Sys. App., vol.36, no.1, pp.321-332, Jan. 2009.","key":"14","DOI":"10.1016\/j.eswa.2007.10.028"},{"doi-asserted-by":"crossref","unstructured":"[15] H. Lu., W. Pan, N.D. Lane, T. Choudhury, and A.T. Campbell, \u201cSoundSense: Scalable sound sensing for people-centric applications on mobile phones,\u201d Proc. MobiSys'09, pp.165-178, June 2009.","key":"15","DOI":"10.1145\/1555816.1555834"},{"doi-asserted-by":"crossref","unstructured":"[16] L. Lu, H. Jiang, and H.J. Zhang, \u201cA robust audio classification and segmentation method,\u201d Proc. ACM Multimedia'01, pp.203-211, Oct. 2001.","key":"16","DOI":"10.1145\/500141.500173"},{"doi-asserted-by":"crossref","unstructured":"[17] J.L. Shen, J.W. Hung, and L.S. Lee, \u201cRobust entropy-based endpoint detection for speech recognition in noisy environments,\u201d Proc. ICSLP'98, pp.232-235, Dec. 1998.","key":"17","DOI":"10.21437\/ICSLP.1998-527"},{"unstructured":"[18] Y.M. Zeng, Z.Y. Wu, T. Falk, and W.Y. Chan, \u201cRobust GMM based gender classification using pitch and RASTA-PLP parameters of speech,\u201d Proc. ICMLC'06, pp.3376-3379, Aug. 2006.","key":"18"},{"doi-asserted-by":"crossref","unstructured":"[19] Y. Nomura, J. Lu, H. Sekiya, and T. Yahagi, \u201cSpeech enhancement based on the dominant classification between speech and noise using feature data in spectrogram of observation signal,\u201d IEEJ Trans. EIS, vol.124, no.11, pp.2310-2319, Nov. 2004. (in Japanese)","key":"19","DOI":"10.1541\/ieejeiss.124.2310"},{"unstructured":"[20] K. Iwano and K. Hirose, \u201cA statistical modeling of fundamental frequency contours in moraic unit and its use for the detection of prosodic word boundaries,\u201d IPSJ J., vol.40, no.4, pp.1356-1364, April 1999. (in Japanese)","key":"20"},{"unstructured":"[21] K. Ishizuka, M. Fujimoto, and T. Nakatani, \u201cAdvances in voice activity detection,\u201d Acoust. Sci. Tech., no.65, vol.10, pp.537-543, Oct. 2009. (in Japanese)","key":"21"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/12\/E97.D_2014EDP7097\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T21:51:48Z","timestamp":1747173108000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E97.D\/12\/E97.D_2014EDP7097\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"references-count":21,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2014]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2014edp7097","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"type":"print","value":"0916-8532"},{"type":"electronic","value":"1745-1361"}],"subject":[],"published":{"date-parts":[[2014]]}}}