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Towards interactive smart spaces

Published: 01 January 2013 Publication History

Abstract

Recently, we have been witnessing how various social applications and networking services are being integrated more deeply into our daily lives. Until now, social interaction has been attributed exclusively to humans, while resources and the smart space have supported interaction as passive mediators only. However, the involvement of smart spaces as an active actor in the interaction process facilitates more flexible and user-centered applications for users. This article explores how knowledge-based technologies enable smart spaces to actively take part in the interaction. We argue that smart spaces should be able not only to adapt their behaviour according to the actions of humans and other participants, but also initiate interaction when it is necessary. In order to support this statement, we categorise the types of interaction from the participants' perspective, and review and evaluate the technologies enabling interaction in smart spaces. Furthermore, we present our constructive research on interaction in smart spaces: proof-of-concept prototype applications realizing different architectures and supporting various types of interaction in smart spaces.

References

[1]
A. Aamodt and E. Plaza, Case-based reasoning: Foundational issues, methodological variations, and system approaches, AI Communications 7(1) (1994), 39-59.
[2]
Z. Antoniou and S. Varadan, Intuitive mobile user interaction in smart spaces via NFC-enhanced devices, in: Proc. of 3rd Int. Conf. on Wireless and Mobile Communications, March 2007, pp. 86.
[3]
P. Barron and V. Cahill, Using stigmergy to co-ordinate pervasive computing environments, in: Proc. of 6th IEEE Workshop on Mobile Computing Systems and Applications, Dec. 2004, pp. 62-71.
[4]
A. Beach, M. Gartrell, S. Akkala, J. Elston, J. Kelley, K. Nishimoto, B. Ray, S. Razgulin, K. Sundaresan, B. Surendar, M. Terada, and R. Han, WhozThat? Evolving an ecosystem for context-aware mobile social networks, IEEE Network 22(4), 50-55.
[5]
M. Benerecetti, P. Bouquet, and M. Bonifacio, Distributed context-aware systems, Human-Computer Interaction, 16(2-4) (2001), 213-228.
[6]
A. Bikakis and G. Antoniou, Distributed defeasible contextual reasoning in ambient computing, in: Proc. of the European Conference on Ambient Intelligence, E. Aarts et al., eds, LNCS, Vol. 5355, Springer-Verlag, Berlin, Heidelberg, 2008, pp. 308-325.
[7]
M. Blumendorf, D. Roscher, and S. Albayrak, Dynamic user interface distribution for flexible multimodal interaction, in: Proc. of the Int. Conf. on Multimodal Interfaces and the Workshop on Machine Learning for Multimodal Interaction, ACM, NY, USA, 2010, Article 20, 8 pp.
[8]
G. Broll, E. Rukzio, M. Paolucci, M. Wagner, A. Schmidt, and H. Hussmann, PERCI: Pervasive service interaction with the internet of things, in: IEEE Internet Computing, Nov./Dec. 2009, pp. 74-81.
[9]
C.-W. Chen, R.C. Ugarte, C. Wu, and H. Aghajan, Discovering social interactions in real work environments, in: Proc. of the IEEE Int. Conf. on Automatic Face & Gesture Recognition and Workshops, March 2011, pp. 933-938.
[10]
S. Cohen, Social relationships and health, American Psychologist 59(8), (2004), 676-684.
[11]
D. Cook, A. Crandall, G. Singla, and B. Thomas, Detection of social interaction in smart spaces, Journal of Cybernetics and Systems, special issue on social awareness in smart spaces 41(2) (2010), 90-104.
[12]
D.D. Corkill, Collaborating software: Blackboard and multiagent systems & the future, in: Proc. of the International Lisp Conference, 2003, Invited paper.
[13]
O. Davidyuk, E. Gilman, I. Sánchez, J. Mäkipelto, M. Pyykkönen, and J. Riekki, iCompose: Context-aware physical user interface for application composition, Central European Journal of Computer Science 1(4) (2012), 442-465.
[14]
A.K. Dey, Providing architectural support for building context-aware applications, PhD Dissertation, Georgia Institute of Technology, 2000.
[15]
A.K. Dey, Understanding and using context, Personal and Ubiquitous Computing 5(1) (2001), 4-7.
[16]
N. Eagle and A. Pentland, Social serendipity: Mobilizing social software, Pervasive Computing, IEEE 4(2) (2005), 28-34.
[17]
N. Eagle, A. Pentland, and D. Lazer, Inferring social network structure using mobile phone data, Proc. of the National Academy of Sciences 106(36) (2009), 15274-15278.
[18]
E.A. Emerson, Temporal and modal logic, in: Handbook of Theoretical Computer Science, J. van Leeuwen (ed.), Elsevier, 1990, pp. 996-1072.
[19]
A. Hang, G. Broll, and A. Wiethoff, Visual design of physical user interfaces for NFC-based mobile interaction, in: Proc. of the 8th ACM Conf. on Designing Interactive Systems, ACM, NY, USA, 2010, pp. 292-301.
[20]
S. Helal, W. Mann, H. El-Zabadani, J. King, Y. Kad-doura, and E. Jansen, The Gator Tech Smart House: A programmable pervasive space, Computer 38(3) (2005), 50-60.
[21]
A.A. Hopgood, The state of artificial intelligence, in: Advances in Computers, Vol. 65, Elsevier, 2005, pp. 1-75.
[22]
M. Jurmu, H. Kukka, S. Hosio, J. Riekki, and S. Tarkoma, Leasing service for networks of interactive public displays in urban spaces, in: Proc. of the 6th Int. Conf. on Advances in Grid and Pervasive Computing, May 11-13, LNCS, Vol. 6646, Springer, Berlin/Heidelberg, 2011, pp. 198-208.
[23]
M.A. Kabir, J. Han, and A. Colman, Modeling and coordinating social interactions in pervasive environments, in: Proc. of the 16th IEEE Int. Conf. on Engineering of Complex Computer Systems, April 2011, pp. 243-252.
[24]
S.L. Kiani, B. Moltchanov, M. Knappmeyer, and N. Baker, Large-scale context-aware system in smart spaces: Issues and challenges, in: Internet Communications (BCFIC Riga), 2011 Baltic Congress on Future, Feb. 2011, pp. 173-180.
[25]
M. Kranz, P. Holleis, and A. Schmidt, Embedded interaction - interacting with the internet of things, in: IEEE Computing, Special Track on Internet of Things, April-June 2010.
[26]
J. Lifton, M. Laibowitz, D. Harry, N.-W. Gong, M. Mittal, and J.A. Paradiso, Metaphor and manifestation cross-reality with ubiquitous sensor/actuator networks, Pervasive Computing, IEEE 8(3) (2009), 24-33.
[27]
G. Lugano, Mobile social software: Definition, scope and applications, in: eChallenges conference, Holland, October 2007.
[28]
K. Lukka, The constructive research approach, in: Case Study Research in Logistics, L. Ojala and O.-P. Hilmola, eds, 2003, pp. 83-102.
[29]
M.C. Mozer, Lessons from an adaptive house, in: Smart environments: Technologies, protocols, and applications, Hoboken, NJ, D. Cook and R. Das, eds, J. Wiley & Sons, 2005, pp. 273-294.
[30]
N.J. Nilsson, Artificial Intelligence: A New Synthesis, Morgan Kaufmann Publishers, Inc., San Francisco, CA, 1998.
[31]
N.M. Oliver, B. Rosario, and A.P. Pentland, A Bayesian computer vision system for modeling human interactions, IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8) (2000), 831-843.
[32]
M. Perttunen, J. Riekki, and O. Lassila, Context representation and reasoning in pervasive computing: A review, International Journal of Multimedia and Ubiquitous Engineering 4(4) (2009), 1-28.
[33]
M. Philipose, K. Fishkin, M. Perkowitz, D. Patterson, D. Fox, H. Kautz, and D. Hahnel, Inferring activities from interactions with objects, IEEE Pervasive Computing 3(4) (2004), 50-57.
[34]
S. Pirttikangas, I. Sánchez, M. Kauppila, and J. Riekki, Comparison of touch, mobile phone, and gesture based controlling of browser applications on a large screen, in: Adjunct Proceedings Pervasive Sydney, Australia, 2008, pp. 5-8.
[35]
N.M.V. Prasad, V. Lesser, and S. Lander, Retrieval and reasoning in distributed case bases, Journal of Visual Communication and Image Representation, Special Issue on Digital Libraries, 7(1) (1996), 74-87.
[36]
A.S. Rao and M. Georgeff, BDI agents: From theory to practice, in: Proc. of the 1st Int. Conf. on Multi-Agent Systems, 1995, pp. 312-319.
[37]
M. Raento, A. Oulasvirta, R. Petit, and H. Toivonen, Context-Phone - A prototyping platform for context-aware mobile applications, IEEE Pervasive Computing 4(2) (2005), 51-59.
[38]
A. Ricci, A. Omicini, M. Viroli, L. Gardelli, and E. Oliva, Cognitive stigmergy: A framework based on agents and artifacts, in: Environments for Multi-Agent Systems III, D. Weyns et al., eds, LNCS, Vol. 4389, 2007, pp. 124-140.
[39]
E. Rich and K. Knight, Artificial Intelligence, McGraw-Hill, Inc., 1991.
[40]
J. Riekki, T. Salminen, and I. Alakarppa, Requesting pervasive services by touching rfid tags, IEEE Pervasive Computing 5 (2006), 40-46.
[41]
J. Riekki, I. Sanchez, and M. Pyykkönen, Remote control for pervasive services, International Journal of Autonomous and Adaptive Communications Systems 3(1) (2010), 39-58.
[42]
M. Román, C. Hess, R. Cerqueira, A. Ranganathan, R.H. Campbell, and K. Nahrstedt, A middleware infrastructure for active spaces, IEEE Pervasive Computing 1(4) (2002), 74-83.
[43]
D. Roscher, M. Blumendorf, and S. Albayrak, A meta user interface to control multimodal interaction in smart environments, in: Proc. of the 14th Int. Conf. on Intelligent User Interfaces, ACM, NY, USA, 2009, pp. 481-482.
[44]
E. Rukzio, K. Leichtenstern, V. Callaghan, P. Holleis, A. Schmidt, and J.S.-Y. Chin, An experimental comparison of physical mobile interaction techniques: Touching, pointing and scanning, in: Proc. on the 8th Int. Conf. on Ubiquitous Computing, 2006, pp. 87-104.
[45]
S. Russel and P. Norvig, Artificial Intelligence: A Modern Approach 2/E, Prentice Hall, 2002.
[46]
A. Sayouti, F. Qrichi Aniba, and H. Madromi, Interactions between agents as shared resources in multi-agents systems, in: New Technologies, Mobility and Security, Nov. 2008, pp. 1-4.
[47]
A. Schmidt, M. Kranz, and P. Holleis, Interacting with the ubiquitous computer: towards embedding interaction, in: Proc. of the Joint Conf. on Smart Objects and Ambient Intelligence: Innovative Context-Aware Services: Usages and Technologies, ACM, NY, USA, 2005, pp. 147-152.
[48]
R. Schmidt, and K. Abere, Efficient Peer-to-Peer belief propagation, in: Proc. of OTM Confederated Int. Conf., CoopIS, DOA, GADA, and ODBASE 2006, R. Meersman and Z. Tari, eds, LNCS, Vol. 4275, Springer-Verlag, Berlin, Heidelberg, pp. 516-532.
[49]
L. Serafini and A. Tamilin, DRAGO: Distributed reasoning architecture for the semantic web, in: Proc. of 2nd European SemanticWeb conf. on The Semantic Web: Research and Applications, A. Gómez Pérez, and J. Euzenat, eds, LNCS, Vol. 3532, Springer-Verlag, Berlin, Heidelberg, 2005, pp. 361-376.
[50]
R. Sharma, V.I. Pavlovic, and T.S. Huang, Toward multimodal human-computer interface, Proc. of the IEEE 86(5) (1998), 853-869.
[51]
Z. Shelby, K. Hartke, C. Bormann, and B. Frank, Constrained Application Protocol (CoAP), Internet-Draft (work in progress) ¿draft-ietf-core-coap-08¿, Sensinode, Universitaet Bremen TZI, SkyFoundry (accessed January 2012).
[52]
A. Sinner and T. Kleemann, KRHyper - In your pocket, in: Automated Deduction - CADE-20, R. Nieuwenhuis, ed., LNCS, Vol. 3632, Springer, Berlin/Heidelberg, 2005, pp. 737.
[53]
J. Stan, V.-H. Do, and P. Maret, Semantic user interaction profiles for better people recommendation, in: Proc. of the Int. Conf. on Advances in Social Networks Analysis and Mining, July 2011, pp. 434-437.
[54]
T. Strang and C. Linnhoff-Popien, A context modeling survey, in: Proc. of the Workshop on Advanced Context Modelling, Reasoning and Management within 6th Int. Conf. on Ubiquitous Computing, Nottingham, England, 2004.
[55]
X. Su, E. Gilman, P. Kwiatkowski, T. Latkowski, A. Pröbstl, B. Wójtowicz, and J. Riekki, Knowledge-based systems for ambient social interactions, in: Ambient Intelligence, D. Keyson et al., eds, LNCS, Vol. 7040, Springer, Berlin/Heidelberg, 2011, pp. 61-71.
[56]
X. Su, J. Riekki, and J. Haverinen, Entity notation: Enabling knowledge representations for resource constrained sensors, in: Personal and Ubiquitous Computing, 2011, pp. 1-16.
[57]
A. Toninelli, A. Pathak, and V. Issarny, Yarta: A middleware for managing mobile social ecosystems, in: Advances in Grid and Pervasive Computing, Riekki et al., eds, LNCS, Vol. 6646, Springer, Berlin/Heidelberg, 2011, pp. 209-220.
[58]
M.H. Tran, J. Han, and A. Colman, Social context: Supporting interaction awareness in ubiquitous environments, in: Proc. of the Int. Conf. on Mobile and Ubiquitous Systems: Networking & Services, July 2009, pp. 1-10.
[59]
H.-L. Truong, S. Dustdar, D. Baggio, S. Corlosquet, C. Dorn, G. Giuliani, R. Gombotz, Y. Hong, P. Kendal, C. Melchiorre, S. Moretzky, S. Peray, A. Polleres, S. Reiff-Marganiec, D. Schall, S. Stringa, M. Tilly, and H.Q. Yu, in Context: A pervasive and collaborative working environment for emerging team forms, in: Proc. of the Int. Symp. on Applications and the Internet, July 2008, pp. 118-125.
[60]
M. Turunen, A. Kallinen, I. Sanchez, J. Riekki, J. Hella, T. Olsson, A. Melto, J.P. Rajaniemi, J. Hakulinen, and E. Makinen, Multimodal interaction with speech and physical touch interface in a media center application, in: Proc. of the Int. Conf. on Advances in Computer Enterntainment Technology, ACM, 2009, pp. 19-26.
[61]
C.N. Ververidis and G.C. Polyzos, Service discovery for mobile Ad Hoc networks: a survey of issues and techniques, Communications Surveys & Tutorials, IEEE 10(3), 30-45.
[62]
J. Viterbo, Decentralized reasoning in Ambient Intelligence, PhD dissertation, Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), 2009.
[63]
L. Wang, T. Gu, X. Tao, J. Lu, and M. Tscheligi, Sensor-based human activity recognition in a multi-user scenario, in: Ambient Intelligence, B. de Ruyter et al., eds, LNCS, Vol. 5859, Springer, Berlin/Heidelberg, 2009, pp. 78-87.
[64]
R. Want, K.P. Fishkin, A. Gujar, and B.L. Harrison, Bridging physical and virtual worlds with electronic tags, in: Proc. of the SIGCHI Conf. on Human Factors in Computing Systems: The CHI is the Limit, ACM, 1999, pp. 370-377.
[65]
T. Winograd, Architectures for context, Human-Computer Interaction 16(2) (2001), 401-419.
[66]
Y. Xu, J. Gu, J. Yang, and Z. Zhang, An ontology-based approach for mobile personalized recommendation, in: Proc. of the Int. Conf. on Services Science, Management and Engineering, July 2009, pp. 336-339.
[67]
J. Ye, J. Li, H. Shi, X. Gu, and Z. Zhu, DFre: A distributed fuzzy reasoning engine for personalization recommendation, in: Proc. of 3rd Int. Conf. on Pervasive Computing and Applications, Vol. 2, 2008, pp. 576-581.
[68]
A. Zimmermann, Context management and personalisation: A tool suite for context- and user-aware computing, PhD dissertation, Fraunhofer FIT, 2007.

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  1. Towards interactive smart spaces

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    Published In

    cover image Journal of Ambient Intelligence and Smart Environments
    Journal of Ambient Intelligence and Smart Environments  Volume 5, Issue 1
    Context Awareness
    January 2013
    139 pages

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    IOS Press

    Netherlands

    Publication History

    Published: 01 January 2013

    Author Tags

    1. Context-Awareness
    2. Knowledge-Based Systems
    3. Smart Spaces
    4. Social Interaction

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    • (2020)User-defined semantics for the design of IoT systems enabling smart interactive experiencesPersonal and Ubiquitous Computing10.1007/s00779-020-01457-524:6(781-796)Online publication date: 1-Dec-2020
    • (2017)A context change detection approach for ubiquitous environmentsInternational Journal of Autonomous and Adaptive Communications Systems10.1504/IJAACS.2017.08665310:3(320-340)Online publication date: 1-Jan-2017
    • (2017)Human interaction with IoT-based smart environmentsMultimedia Tools and Applications10.1007/s11042-016-3697-376:11(13343-13365)Online publication date: 1-Jun-2017
    • (2016)The M3 architecture for smart spaces: Overview of semantic information broker implementationsProceedings of the 19th Conference of Open Innovations Association FRUCT10.23919/FRUCT.2016.7892210(264-272)Online publication date: 14-Nov-2016
    • (2016)Enabling user-centered interactions in the Internet of Things2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC.2016.7844457(001537-001543)Online publication date: 9-Oct-2016
    • (2014)Threshold-based context change detection for ubiquitous environmentsProceedings of the 3rd International Conference on Context-Aware Systems and Applications10.5555/2762722.2762733(57-63)Online publication date: 7-Oct-2014

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