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to users’ point of view regarding the exploitation of
the knowledge produced. HMI methods are mainly
used to ensure that systems are useful, usable and
acceptable. The information architecture is used to
ensure that knowledge presented in KMS follows
structures that make the most sense for users and
their organizational context.
We implemented our approach in SCP and as a
result we obtained a prototype, ALEX +. ALEX +
was evaluated by a panel of users. It shows that
collaborators are generally satisfied with the
proposals that were made in the final system and
will tend more to use it. We can however identify a
couple of limitations in our approach. Firstly, the
limited number of participants in the workgroup
allows us to only have the viewpoints of a small part
of the actual user population; an assessment of a
larger amount of people in SCP and also in other
companies would help us have a better insight of the
impact of our methodology on the KMS use in the
company. Secondly, an ideal experimental approach
would be to do a comparative evaluation of our
methodology with others proposed by literature in
the domain of design of corporate KMS. These
points are planned for future work.
More generally, with our approach, we can just have
an overview of the users’ intentions but not of the
effective use. Our method is not robust enough to
ensure effective use; it focuses on initial acceptance
of the system but not on his continuous use. A KMS
is really useful if users effectively consult or add
new content, discuss or comment updates, which
happens when they master the system. This form of
capitalization, which we call sustainable, requires
implementation of other features in the system. This
stage corresponds to the sensory design stage which
we did not particularly emphasize in our approach.
We believe that metacognitive assistance features
like indicators of awareness may be useful (Marty &
Carron, 2011). Indeed, by proposing activity
indicators, we can promote a reflexive dynamic of
learning by user self-regulation processes (George,
Michel, & Ollagnier-Beldame, 2013). For example,
users by visualizing the impact of their contribution
on other actors in the company may be more
motivated to use the system. Conversely, by
identifying the comments that were made on
experience sheets related to their professional field,
they may become aware of new procedures or
changes in business practices and thus increase the
credit given to the developed tool. As such,
comments could be seen as a recommendation to
consult. We plan to implement these new features by
analysing traces of activity (Karray, Chebel-Morello,
& Zerhouni, 2014). These traces provide much more
diagnostic of use by sector and functionality. Our
future work will therefore seek to identify, still with
an incremental approach, which indicators and
interaction modalities may be most suitable. Phases
4 and 5 of our method are mainly concerned; the
design that affects the sensory and user experiences.
REFERENCES
Aries, S. (2014). Présentation de la méthode MASK.
Retrieved from http://aries.serge.free.fr/presentation/
MASKmet.pdf
Boucher, A. (2007). Ergonomie Web - Pour des sites web
efficaces.
Davis, F. D. (1993). User acceptance of information
technology : system characteristics, user perceptions
and behavioral impacts.
Delone, W. H. (2003). The DeLone and McLean model of
information systems success: a ten-year update.
Journal of Management Information Systems, 19(4),
9–30.
Ermine, J. L. (2008). Management et ingénierie des
connaissances - Modèles et méthodes.
Février, F. (2011). Vers un modèle intégrateur
“Expérience-Acceptation” : Rôle des affects et de
caractéristiques personnelles et contextuelles dans la
détermination des intentions d’usage d'un
environnement numérique de travail.
Garrett, J. J. (2011). The elements of user experience -
Centered Design for the Web and Beyond.
George, S., Michel, C., & Ollagnier-Beldame, M. (2013).
Usages réflexifs des traces dans les environnements
informatiques pour l’apprentissage humain.
Intellectica, 1(59), 205–241. Retrieved from http://
hal.archives-ouvertes.fr/hal-00905173
He, W., & Wei, K.-K. (2009). What drives continued
knowledge sharing? An investigation of knowledge-
contribution and -seeking beliefs. Decision Support
Systems, 46(4), 826–838. doi:10.1016/j.dss.2008.
11.007
Karray, M.-H., Chebel-Morello, B., & Zerhouni, N.
(2014). PETRA: Process Evolution using a TRAce-
based system on a maintenance platform. Knowledge-
Based Systems. doi:10.1016/j.knosys.2014.03.010
Marty, J.-C., & Carron, T. (2011). Observation of
Collaborative Activities in a Game-Based Learning
Platform. IEEE Transactions on Learning
Technologies, 4(1), 98–110. doi:10.1109/TLT.2011.1
Mathis, L. (2011). Designed for use, create usable
interfaces for applications and the web. Jill Steinberg.
Nielsen, J. (1993). Usability Engineering.
Prax, J. Y. (2003). Le Manuel du Knowledge Management
- Une approche de 2ème génération.
Resmini, A., & Rosati, L. (2011). Pervasive Information
Architecture - Designing Cross-Channel User
Experiences.
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