Annals of Computer Science and Information Systems, Volume 21

DOI: http://dx.doi.org/10.15439/2020F29

Citation: Proceedings of the 2020 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 21, pages 653–656 (2020)

Full text

Abstract. The widespread diffusion of smart and mobile devices continuously connected to the Internet has facilitated the users' contact and interaction with other people, devices, and with their physical surroundings. Proxemic interaction, derived from proxemics theory, focuses on how Human-Computer Interaction (HCI) works with smart devices, using the five proxemic dimensions: Distance, Identity, Location, Movement, and Orientation (DILMO). The current tools for developing proxemic applications require fixed devices that make it difficult to build proxemic mobile apps. In this work, we propose a framework to manage all components in a proxemic environment (i.e., interaction objects and DILMO dimensions that govern the HCI). We demonstrate and evaluate the effectiveness and suitability of our framework, through the development of two proxemic mobile applications, as proof-of-concept.

References

1. F. Brudy, C. Holz, R. Rädle, C.-J. Wu, S. Houben, C. N. Klokmose, and N. Marquardt, “Cross-device taxonomy: Survey, opportunities and challenges of interactions spanning across multiple devices,” in Proceedings of the CHI Conference on Human Factors in Computing Systems. ACM, 2019, p. 562, https://doi.org/10.1145/3290605.3300792.
2. J. E. Grønbæk, C. Linding, A. Kromann, T. F. H. Jensen, and M. G. Petersen, “Proxemics play: Exploring the interplay between mobile devices and interiors,” in Proceedings of Companion Publication of the Conference on Designing Interactive Systems, ser. DIS ’19. ACM, 2019, pp. 177–181, https://doi.org/10.1145/3301019.3323886.
3. T. Ballendat, N. Marquardt, and G. Saul, “Proxemic interaction: designing for a proximity and orientation-aware environment,” in Proceedings of International Conference on Interactive Tabletops and Surfaces, ser. ITS’ 10. ACM, 2010, pp. 121–130, http://doi.org/10.1145/1936652.1936676.
4. S. Greenberg, N. Marquardt, T. Ballendat, R. Diaz-Marino, and M. Wang, “Proxemic interactions: the new ubicomp?” Interactions, vol. 18, no. 1, pp. 42–50, 2011, https://doi.org/10.1145/1897239.1897250.
5. J. E. Grønbæk, M. S. Knudsen, K. O’Hara, P. G. Krogh, J. Vermeulen, and M. G. Petersen, “Proxemics beyond proximity: Designing for flexible social interaction through cross-device interaction,” in Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 2020, pp. 1–14, https://doi.org/10.1145/3313831.3376379.
6. E. T. Hall, The Hidden Dimension: An anthropologist examines man’s use of space in private and public. New York: Anchor Books; Doubleday & Company, Inc, 1966.
7. N. Marquardt, R. Diaz-Marino, S. Boring, and S. Greenberg, “The proximity toolkit: prototyping proxemic interactions in ubiquitous computing ecologies,” in Proceedings of the 24th annual ACM symposium on User interface software and technology, ser. UIST ’11. ACM, 2011, pp. 315–326, https://doi.org/10.1145/2047196.2047238.
8. C. Cardenas and J. A. Garcia-Macias, “Proximithings: Implementing proxemic interactions in the internet of things,” Procedia Computer Science, vol. 113, pp. 49–56, 2017, https://doi.org/10.1016/j.procs.2017.08.286.
9. D. Ledo, S. Greenberg, N. Marquardt, and S. Boring, “Proxemicaware controls: Designing remote controls for ubiquitous computing ecologies,” in Proceedings of the 17th International Confer- ence on Human-Computer Interaction with Mobile Devices and Services, ser. MobileHCI’2015. ACM, 2015, pp. 187–198, https://doi.org/10.1145/2785830.2785871.
10. G. Developers, “Sensors overview, developer guides,” 2019, https://developer.android.com/guide/topics/sensors.
11. AltBeacon, “The open and interoperable proximity beacon specification,” 2018, https://altbeacon.org/.