Evaluating the expressiveness of MoLICC to model the HCI of collaborative systems

3Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper we present an analysis on MoLICC, an interaction design language rooted in Semtiontic Engineering that perceives the user-system interaction as a conversation between designer (the system) and user, bringing focus to collaborative systems based on the 3C Model of Collaboration. In our analysis, we present the different aspects of collaboration as defined by the 3C Model of Collaboration, presenting case scenarios and using them to verify the language expressiveness.

Cite

CITATION STYLE

APA

De Souza, L. G., Barbosa, S. D. J., & Fuks, H. (2016). Evaluating the expressiveness of MoLICC to model the HCI of collaborative systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9746, pp. 255–265). Springer Verlag. https://doi.org/10.1007/978-3-319-40409-7_25

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free