eTheatre: Connecting with the Remote Audiences

ABSTRACT

In September 2014, a local theatre company performed "the Tempest" simultaneously at two different locations to two separate audiences. Both audiences were linked together using an advanced video system, where several cameras captured the play. This is just one example of the radical shift in performing arts, where small theatre companies can use the Internet and a range of digital tools for reaching a wider remote audience. The question remains: what is the influence of this shift on the experience of the audience members? In order to better understand the problem space, we conducted two experiments focusing on two common current scenarios: remote asynchronous and synchronous watching of a theatre play. First, a theatre play was recorded and shown at a later date in a cinema to an audience. Second, a play in one theatre was broadcast to another theatre in real time. This paper reports the results of the experiments and discusses the implications towards the audience when bridging technology and performing arts. According to the results, a shift in time has a deep impact, with the audience rating their watching experience less intensive by 25% to the audience at the live venue. In the second experiment, on the other hand, both audiences reported fairly similar experiences, but different parts of the play had significant different impacts depending on the location where the audience was (in front of the stage or at another theatre). In particular it seems that lacking a way to show appreciation to the play e.g., applause has a big impact on the watching experience. The main conclusion though is that better mechanisms for including remote audiences in the experience are needed.

References

1. http://timeandspace.org/ntlive
2. http://www.sciencefestival.co.uk/
3. Renata M. Sheppard, Mahsa Kamali, Raoul Rivas, Morihiko Tamai, Zhenyu Yang, Wanmin Wu, and Klara Nahrstedt. 2008. Advancing interactive collaborative mediums through tele-immersive dance (TED): a symbiotic creativity and design environment for art and computer science. In Proceedings of the 16th ACM international conference on Multimedia (MM '08). ACM, New York, NY, USA, 579--588.
4. Jeremy Birnholtz. 2006. Back to school: design principles for improving webcast interactivity from face-to-face classroom observation. In Proceedings of the 6th conference on Designing Interactive systems (DIS '06). ACM, New York, NY, USA, 311--320.
5. Cha Zhang, Yong Rui, Jim Crawford, and Li-Wei He. 2008. An automated end-to-end lecture capture and broadcasting system. ACM Trans. Multimedia Comput. Commun. Appl. 4, 1, Article 6 (February 2008), 23 pages.
6. Kathryn Faulkner and Linda McClelland. (2002). Using videoconferencing to deliver a healthy education program to women healthy consumers in rural and remote queensland: an early attempt and future plans. Aust. J. Rural Health 10, 65--72.
7. R. Mandryk. Objectively evaluating entertainment technology. In CHI'04, pages 1057---1058. ACM Press, 2003.
8. Guillaume Chanel, Cyril Rebetez, Mireille Trancourt, and Thierry Pun. 2008. Boredom, engagement and anxiety as indicators for adaptation to difficulty in games. In Proceedings of the 12th international conference on Entertainment and media in the ubiquitous era (MindTrek '08). ACM, New York, NY, USA, 13--17.
9. Darren Lunn and Simon Harper. 2010. Using galvanic skin response measures to identify areas of frustration for older web 2.0 users. In Proceedings of the 2010 International Cross Disciplinary Conference on Web Accessibility (W4A) (W4A '10). ACM, New York, NY, USA, Article 34, 10 pages.
10. Christopher Peters, Ginevra Castellano, Sara de Freitas. An exploration of user engagement in HCI. AFFINE '09, November 6, 2009. Boston, MA, USA.
11. Heather L. O'Brien and Karon E. Maclen Measuring the User Engagement Process. Engagement by Design Preconference Workshop, CHI 2009 Digital Life New World, Boston, MA, April 5, 2009.
12. Anmol Madan, Ron Caneel, and Alex "Sandy" Pentland. 2004. GroupMedia: distributed multi-modal interfaces. In Proceedings of the 6th international conference on Multimodal interfaces (ICMI '04). ACM, New York, NY, USA, 309--316.
13. Shigeru Sakurazawa, Naofumi Yoshida, Nagisa Munekata, Asmi Omi, Hideki Takeshima, Hiromi Koto, Kaori Gentsu, Keita Kimura, Kiyhiro Kawamura, Masaki Miyamoto, Ryota Arima, Taiki Mori, Tetsuya SekIya, Toru Furukawa, Yusuke Hashimoto, Hiroshi Numata, Jun-ichi Akita, Yasuo Tsukahara, and Hitoshi Matsubara. 2003. A computer game using galvanic skin response. In Proceedings of the second international conference on Entertainment computing (ICEC '03). Carnegie Mellon University, Pittsburgh, PA, USA, 1--3.
14. Shengsheng Ruan, Ling Chen, Jie Sun, and Gencai Chen. 2009. Study on the change of physiological signals during playing body-controlled games. In Proceedings of the International Conference on Advances in Computer Enterntainment Technology (ACE '09). ACM, New York, NY, USA, 349--352.
15. Jeff Sauro and James R Lewis. (2008)Quantifying the user experience: practical statistics for user research. ISBN-13: 978-0123849687
16. Peter J. Lang. The Emotion Probe: Studies of Motivation and Attention. American Psychologist, May 1995.
17. Celine Latulipe, Erin A. Carroll, and Danielle Lottridge. 2011. Love, hate, arousal and engagement: exploring audience responses to performing arts. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, New York, NY, USA, 1845--1854.
18. Mohammad Adibuzzaman, Niharika Jain, Nicholas Steinhafel, Munir Haque, Ferdaus Ahmed, Sheikh Ahamed, and Richard Love. 2013. In situ affect detection in mobile devices: a multimodal approach for advertisement using social network. SIGAPP Appl. Comput. Rev. 13, 4 (December 2013), 67--77.
19. Christian Martyn Jones and Tommy Troen. 2007. Biometric valence and arousal recognition. In Proceedings of the 19th Australasian conference on Computer-Human Interaction: Entertaining User Interfaces (OZCHI '07). ACM, New York, NY, USA, 191--194.
20. Rui Guo, Shuangjiang Li, Li He, Wei Gao, Hairong Qi, and Gina Owens. 2013. Pervasive and unobtrusive emotion sensing for human mental health. In Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth '13). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium, 436--439.
21. Chen Wang, Erik N. Geelhoed, Phil P. Stenton, and Pablo Cesar. 2014. Sensing a live audience. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (CHI '14). ACM, New York, NY, USA, 1909--1912.
22. Jacek P. Dmochowski, Matthew A. Bezdek, Brian P. Abelson, John S. Johnson, Eric H. Schumacher and Lucas C. Parra. 2014. Audience preferences are predicted by temporal reliability of neural processing. Nature Communications 5. Article number 4567.
23. C.J.Stevens, E.Schubert, R. H. Morris, M. Frear, J. Chen, S. Healey, C. Schoknecht, and S. Hansen. (2009). Cognition and the temporal arts: investigating audience response to dance using PDAs that record continuous data during live performance. Internationsl Jounal of Human Computer Studies, 67(9): 800 -813.
24. Renata M. Sheppard, Mahsa Kamali, Raoul Rivas, Morihiko Tamai, Zhenyu Yang, Wanmin Wu, and Klara Nahrstedt. 2008. Advancing interactive collaborative mediums through tele-immersive dance (TED): a symbiotic creativity and design environment for art and computer science. In Proceedings of the 16th ACM international conference on Multimedia (MM '08). ACM, New York, NY, USA, 579--588.
25. Zhenyu Yang, Bin Yu, Wanmin Wu, Ross Diankov, and Ruzena Bajscy. 2006. Collaborative dancing in tele-immersive environment. In Proceedings of the 14th annual ACM international conference on Multimedia (MULTIMEDIA '06). ACM, New York, NY, USA, 723--726.
26. Lennart Erik Nacke, Michael Kalyn, Calvin Lough, and Regan Lee Mandryk. 2011. Biofeedback game design: using direct and indirect physiological control to enhance game interaction. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, New York, NY, USA, 103--112.
27. Regan L. Mandryk, M. Stella Atkins, and Kori M. Inkpen. 2006. A continuous and objective evaluation of emotional experience with interactive play environments. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '06), Rebecca Grinter, Thomas Rodden, Paul Aoki, Ed Cutrell, Robin Jeffries, and Gary Olson (Eds.). ACM, New York, NY, USA, 1027--1036.
28. Kai Kuikkaniemi, Toni Laitinen, Marko Turpeinen, Timo Saari, Ilkka Kosunen, and Niklas Ravaja. 2010. The influence of implicit and explicit biofeedback in first-person shooter games. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, New York, NY, USA, 859--868.
29. Pejman Mirza-Babaei, Lennart E. Nacke, John Gregory, Nick Collins, and Geraldine Fitzpatrick. 2013. How does it play better?: exploring user testing and biometric storyboards in games user research. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '13). ACM, New York, NY, USA, 1499--1508.
30. Shengsheng Ruan, Ling Chen, Jie Sun, and Gencai Chen. 2009. Study on the change of physiological signals during playing body-controlled games. In Proceedings of the International Conference on Advances in Computer Enterntainment Technology (ACE '09). ACM, New York, NY, USA, 349--352.
31. Joel E. Fischer and Steve Benford. 2009. Inferring player engagement in a pervasive experience. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09). ACM, New York, NY, USA, 1903--1906.
32. R. Mandryk. Objectively evaluating entertainment technology. In CHI'04, pages 1057---1058. ACM Press, 2003.
33. R.W. Picard. Affective computing. MIT Press, Cambridge, MA, USA, 1997.
34. Schiffman, Susan S., M. Lance Reynolds, and Forrest W. Young (1981), Introduction to Multidimensional Scaling: Theory, Methods, and Applications, NY: Academic Press.
35. Young, Forrest W., and Robert M. Hamer (ed.) (1987), Multidimensional Scaling: History, Theory, and Applications, Hillsdale, NJ: Erlbaum.
36. Chen Wang and Pablo Ceser. 2014. Do we react in the same manner? Comparing GSR patterns across scenarios. NordiCHI, October 26-30 2014, Helsinki, Finland. ACM 978-1-4503-2542-4/14/10
37. Jeff Sauro and James R Lewis. 2008. Quantifying the user experience: practical statistics for user research. ISBN-13: 978-0123849687.
38. Jacek P. Dmochowski, Matthew A. Bezdek, Brian P. Abelson, John S. Johnson, Eric H. Schumacher & Lucas C. Parra. 2014. Audience preferences are predicted by temporal reliability of neural processing. Nature Communications 5, Article number:4567.

Index Terms

• Applied computing

  • Arts and humanities

  • Law, social and behavioral sciences

• Computing methodologies

  • Modeling and simulation

    • Simulation theory

      • Systems theory

• Mathematics of computing

  • Information theory