[1], [2] social telepresence MMSpace [3], [4] [7] [10] [11] / [12] [14] [15], [16] [17] [19] [20] [18], [19] [7], [9], [10], [21], [22] [8], [10

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1 著者用ドラフト ( 最終版の著作権は電子情報通信学会に帰属 ) THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS TECHNICAL REPORT OF IEICE. MMSpace NTT otsuka.kazuhiro@lab.ntt.co.jp - - MMSpace MMSpace MMSpace: KineticTelepresenceSstemforEnhancingNonverbal Communications in Small Group-to-Group Settings Kazuhiro OTSUKA NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation 3-1 Morinosato-Wakamia, Atsugi-shi, Japan otsuka.kazuhiro@lab.ntt.co.jp 1. QoL 1

2 [1], [2] social telepresence MMSpace [3], [4] [7] [10] [11] / [12] [14] [15], [16] [17] [19] [20] [18], [19] [7], [9], [10], [21], [22] [8], [10], [22], [23] [7], [22] 1 [3], [4] 2 YouTube [5] [6] 3 4 kinetic [9], [22] 1 4 [21], [22] MMSpace MMSpace MMSpace 2

3 P 2 A 3 A 2 P 3 P 4 P 1 A 4 A MMSpace (P 1, P 2, P 3, P 4 ) (A 1, A 2, A 3, A 4 ) [4] P 2 P P 1 P P 2 A 3 C3 1 C2 4 C3 2 C2 3 A 2 P C4 1 C1 4 P 1 A 4 A 1 P 4 C4 2 C [4] 2. : MMSpace MMSpace P 1 P 2 2 A 1, A 2 2 P 3 P XY MMSpace (P 1, P 2, P 3, P 4 ) (A 1, A 2, A 3, A 4 ) C i j A i P j [4] 34.3 dba [3] 4 (Fastrak) 3 3 C i j A i P j P j P j A j P 3 A 2 C A 3 P 2 P 3 3

4 XY- X G R 4 [4] 5 Y [4] A 3 P 2 P 2 A 3 A 3 C A 2 P 3 P 2 MMSpace Hz 48kHz 60Hz (10MHz) 150msec 35msec 115msec 57msec 93msec [3] MMSpace 4 MMSpace M 2 S 2 M S M S F2F S M M S S M M S: 33 M: : 7: 2 t 5% 6 6 6(a) (f) 6(a),(b) M 6(c) M [4] 6(d) M (e) M M 4

5 p<0.05* p<0.05* p<0.005*** p<0.05* p<0.005*** p<0.05* p<0.005*** (a) M S (b) M S (c) M S n.s. p<0.01** p<0.01** (a) M S F2F p<0.005*** p<0.05* (b) M S F2F p<0.05* p<0.01** p<0.005*** (d) M S (e) M S (f) M S 6 Bo-Whiskert 7 1:7: (c) M S F2F (d) M S F2F 7 Bo-Whiskert 6(f) M 3. 3 MMSpace M / 1 30 fps Holm p 7(a) S M F2F M F2F 7(b) 7(b) S M F2F M F2F S [4] S M F2F [24] M 7(c) 7(c) M F2F S M F2F 7(d) F2F M, S ( P 1 P 3, P 4) 7(d) S M F2F M F2F 5

6 [25] F2F M MMSpace MMSpace MMSpace [26] [17], [19] MMSpace MMSpace MMSpace MMSpace [1] E. Guizzo, When m avatar went to work, IEEE Spectrum, vol.47, pp.26 50, [2] J.P. Conti, Technolog telepresence - I see live people, Eng Manag J, vol.17, no.3, pp.12 15, [3] K. Otsuka, MMSpace: Kineticall-augmented telepresence for small group-to-group conversations, Proc. IEEE Virtual Realit 2016, pp.19 28, [Link to PDF]. [4] K. Otsuka, Behavioral analsis of kinetic telepresence for small smmetric group-to-group meetings, IEEE Transactions on Multimedia, vol.20, no.6, pp , June [OpenAccess]. [5] K. Otsuka, MMSpace: Multimodal meeting space embodied b kinetic telepresence, Proc. CHI 17 EA, pp , [6] : MMSpace 2016( ), [7] N. Yankelovich, N. Simpson, J. Kaplan, and J. Provino, Porta-person: Telepresence for the connected conference room, Proc. ACM CHI 07 EA, pp , [8] S.O. Adalgeirsson and C. Breazeal, MeBot: A robotic platform for sociall embodied presence, Proc. ACM/IEEE HRI 10, pp.15 22, [9] D. Sirkin, G. Venolia, J. Tang, G. Robertson, T. Kim, K. Inkpen, M. Sedlins, B. Lee, and M. Sinclair, Motion and attention in a kinetic videoconferencing pro, Proc. IN- TERACT 11, pp , [10] D. Sirkin and W. Ju, Consistenc in phsical and on-screen action improves perceptions of telepresence robots, Proc. ACM/IEEE HRI 12, pp.57 64, [11] J. Short, E. Williams, and B. Christie, The social pscholog of telecommunications, John Wile & Sons, [12] S.K. Manard, Interactional functions of a nonverbal sign: Head movement in japanese dadic casual conversation, J. Pragmatics, vol.11, pp , [13] D. Helen, Challenges ahead: head movements and other social acts during conversations, Proc. J. Smp. Virtual Social Agents, pp.45 52, [14] S. Dancan, Some signals and rules for taking speaking turns in conversations, Journal of Personalit and Social Pscholog, vol.23, no.2, pp , [15] R. Stiefelhagen, J. Yang, and A. Waibel, Modeling focus of attention for meeting inde based on multiple cues, IEEE Trans. Neural Networks, vol.13, no.4, pp , [16] K. Otsuka, Y. Takemae, J. Yamato, and H. Murase, A probabilistic inference of multipart-conversation structure based on Markov-switching models of gaze patterns, head directions, and utterances, Proc. ICMI 05, pp , [17] M. Argle, Bodil Communication 2nd ed., Routledge, London and New York, [18] A. Kendon, Some functions of gaze-direction in social interaction, Acta Pschologica, vol.26, pp.22 63, [19] M. Argle and M. Cook, Gaze and Mutual Gaze, Cambridge Universit Press Cambridge, Eng. ; New York, [20] C. Goodwin, Conversational Organization: Interaction between Speakers and Hearers, Academic Press, [21] K. Otsuka, S. Kumano, D. Mikami, M. Matsuda, and J. Yamato, Reconstructing multipart conversation field b augmenting human head motions via dnamic displas, Proc. ACM CHI 12 EA, pp , [22] K. Otsuka, S. Kumano, R. Ishii, M. Zbogar, and J. Yamato, MM+Space: N 4degree-of-freedomkineticdispla for recreating multipart conversation spaces, Proc. ACM ICMI 13, pp , [23] C. Breazeal, A. Wang, and R. Picard, Eperiments with a robotic computer: Bod, affect and cognition interactions, Proc. ACM/IEEE HRI 07, pp , [24] K.L. Shapiro and T.L. Johnson, Effects of arousal on attention to central and peripheral visual stimuli, Acta Pschologica, vol.66, no.2, pp , [25] E. Delaherche, M. Chetouani, A. Mahdhaoui, C. Saint- Georges, S. Viau, and D. Cohen, Interpersonal snchron :Asurveofevaluationmethodsacrossdisciplines, IEEE Trans. Affective Computing, vol.3, no.3, pp , [26] H. Heiko, B. Evgenia, and K. Akioshi, The Mona Lisa effect: Testing the limits of perceptual robustness vis-à-vis slanted images, PSIHOLOGIJA, vol.47, no.3, pp ,

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