Skip to main content
SpringerLink
Log in

Modeling Interactions and Awareness Capabilities of Mobile Collaborative Systems

  • Conference paper
  • First Online:
Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022) (UCAmI 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 594))

  • 840 Accesses

Abstract

Conceiving a mobile collaborative system involves determining, at an early stage of the development process, the interaction and awareness services that such an application will provide to end-users, software agents, and smart objects. The literature recognizes this definition as a challenging activity that requires the joint participation of stakeholders and developers in order to get an agreement about these services. This paper presents a collaborative visual modeling tool intended to help both parties to create, evaluate and evolve models that represent this service agreement through several views. The tool was evaluated and the results of this assessment study and the feedback issued by the participating researchers and developers offer us positive indications in its practical application.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Miranda, I., de Araujo, R.M., Borges, M.R.: Discovering group communication requirements. In: CIbSE, pp. 107–120 (2007)

    Google Scholar 

  2. Herskovic, V., Ochoa, S.F., Pino, J.A., Antunes, P., Ormeño, E.: Identifying the awareness mechanisms for mobile collaborative applications. In: Antunes, P., Gerosa, M.A., Sylvester, A., Vassileva, J., de Vreede, G.-J. (eds.) CRIWG. LNCS, vol. 8224, pp. 241–256. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-41347-6_18

  3. Hoffmann, A., Bittner, E.A.C., Leimeister, J.M.: The emergence of mutual and shared understanding in the system development process. In: Doerr, J., Opdahl, A.L. (eds.) REFSQ. LNCS, vol. 7830, pp. 174–189. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-37422-7_13

  4. Canché, M., Ochoa, S.F., Perovich, D.: CIMoL: a language for modeling interactions in people-driven collaborative processes. Technical Report TR/DCC-2021–003. Computer Science Department, University of Chile, 15 November 2021 (2021)

    Google Scholar 

  5. Canche, M., Ochoa, S.F., Perovich, D.: Understanding the suitability of modeling languages and notations to represent computer-mediated interaction scenarios. In: Rocha, Á., Ferrás, C., Méndez Porras, A., Jimenez Delgado, E. (eds.) ICITS. LNNS, vol. 414, pp. 677–686. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-96293-7_57

  6. OMG.: Case Management Model and Notation Specification (2016). https://www.omg.org/spec/CMMN

  7. Allah, Z., van Sinderen, M., Sikkel, K., Quartel, D.: How to manage and model unstructured business processes: a proposed list of representational requirements. In: Obaidat, M.S., Cabello, E. (eds.) ICETE. CCIS, vol. 990, pp. 81–103. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-11039-0_5

  8. Ben, M., Turki, M., Gargouri, F.: A multi-criteria evaluation approach for selecting a sensitive business process modeling language for knowledge management. J. Data Semant. 8(3), 157–202 (2019). https://doi.org/10.1007/s13740-019-00103-5

    Article  Google Scholar 

  9. Dorn, C., Dustdar, S., Osterweil, L.J.: Specifying flexible human behavior in interaction-intensive process environments. In: Sadiq, S., Soffer, P., Völzer, H. (eds.) BPM 2014. LNCS, vol. 8659, pp. 366–373. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-10172-9_24

    Chapter  Google Scholar 

  10. Herskovic, V., Ochoa, S.F., Pino, J.A.: Identifying groupware requirements in people-driven mobile collaborative processes. J. Univers. Comput. Sci. 25(8), 988–1017 (2019)

    Google Scholar 

  11. Monares, A., Ochoa, S.F., Herskovic, V., Santos, R.M., Pino, J.A.: Modeling interactions in human-centric wireless sensor networks. In: Hou, J.-L., et al. (eds.) Proceedings of the IEEE 18th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2014, Hsinchu, Taiwan, 21–23 May 2014, pp. 661–666. IEEE (2014). https://doi.org/10.1109/CSCWD.2014.6846923

  12. Hawryszkiewycz, I.T.: A metamodel for modeling collaborative systems. J. Comput. Inf. Syst. 45(3), 63–72 (2005). https://doi.org/10.1080/08874417.2005.11645844

    Article  Google Scholar 

  13. Hawryszkiewycz, I.T.: Modeling complex adaptive systems. In: Yang, J., Ginige, A., Mayr, H.C., Kutsche, R.-D. (eds.) UNISCON. LNBIP, vol. 20, pp. 458–468. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-01112-2_46

  14. Canché, M., Ochoa, S.F.: Modeling computer-mediated user interactions in ubiquitous collaborative systems. In: Bravo, J., Baños, O. (eds.) 12th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI 2018, Punta Cana, Dominican Republic, 4–7 December 2018, vol. 2, no. 19, p. 1250. MDPI (2018). https://doi.org/10.3390/proceedings2191250

  15. Canché, M., Ochoa, S.F., Perovich, D., Gutierrez, F.J.: Analysis of notations for modeling user interaction scenarios in ubiquitous collaborative systems. J. Ambient Intell. Human. Comput. (2019). https://doi.org/10.1007/s12652-019-01578-7

  16. Canché, M., Ochoa, S.F., Perovich, D.: Identifying interaction and awareness services in mobile collaborative applications. In: Salvendy, G., Wei, J. (eds) Design, Operation and Evaluation of Mobile Communications. HCII 2022. Lecture Notes in Computer Science, vol. 13337. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-05014-5_1

  17. Brooke, J.: SUS: a “quick and dirty” usability scale. In: Jordan, P.W., Thomas, B., McClelland, I.L., Weerdmeester, B. (eds.) Usability Evaluation in Industry, 1st edn, pp.189–194. CRC Press, Boca Raton (1996)

    Google Scholar 

Download references

Acknowledgments

This work was partially supported by the PRODEP Mexican Program, grant number PROMEP/103.5/16/6096, CONICYT-PCHA/Doctorado Nacional/2019 – 21191825, and Fondecyt Project (Chile), grant: 1191516.

Author information

Authors and Affiliations

  1. Computer Science Department, University of Chile, Beauchef 851, Santiago, Chile

    Alejandro Luman, Maximiliano Canché, Sergio F. Ochoa & Daniel Perovich

  2. Faculty of Mathematics, Autonomous University of Yucatán, Mérida, México

    Maximiliano Canché

Authors
  1. Alejandro Luman
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Maximiliano Canché
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sergio F. Ochoa
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Daniel Perovich
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Maximiliano Canché .

Editor information

Editors and Affiliations

  1. Castilla-La Mancha University, Ciudad Real, Spain

    José Bravo

  2. Computer Science Department, University of Chile, Santiago, Chile

    Sergio Ochoa

  3. CICESE, Ensenada, Mexico

    Jesús Favela

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Luman, A., Canché, M., Ochoa, S.F., Perovich, D. (2023). Modeling Interactions and Awareness Capabilities of Mobile Collaborative Systems. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_83

Download citation

Publish with us

Policies and ethics

Search

Navigation