Hello, everyone.
My name is Diego Gomez-Zara, and I'm
delighted to present this work called, A Taxonomy
of Team-Assembly Systems, Understanding How People
Use Technologies to Form Teams.
Our motivation is to understand how
the current ecosystem of technologies
is helping us assemble teams.
And this has several consequences,
especially in team composition.
Depending on how people use these systems
and the affordances that these systems provide,
teams could be more or less diverse.
To understand the consequences, we
want to iterate and present a taxonomy that
helps us understand how systems help people assemble teams.
And first, we started reviewing studies related to teams.
And we found that most of the attention
is on team performance, team processes, and team formation,
but once the team is already assembled.
Nothing, or just a few studies, are
related to how the mechanisms of choosing
and putting together people for a specific group.
Although there are some studies, the specific impact
of technologies on team assembly has not been studied in depth.
And we wanted to analyze if the CSCW frameworks
that we have currently could help us to understand how users
interacted with the systems.
However, we didn't find enough dimensions
that could explain precisely how users
were controlling [INAUDIBLE] part of this team formation
process.
For our reason, we are presenting this taxonomy
based on two dimensions.
The first one is user's agency and tells us
to what extent users have control over the team formation
process on the system.
And you can see, on one side, it could
be one single user who controls the process
and determines the input and the criteria.
And on the other side, we have one system
who decides who are going to be part of specific teams.
And the second dimension tells us
about how many people, how many users,
are able to participate in this team assembly process.
It could be just one single user who decides,
or it could be multiple who decides who are going
to be part of their teams.
[? Basing ?] on these two dimensions,
we present four kinds of teams that
are a result of these systems.
The first one is optimize teams, in which
the system assembles teams based on defined criteria
on the user's input.
The second one is to staff teams,
where the user can establish the team formation
criteria on the system performance, the calculations.
Then we have self-assembled teams,
which users assemble their own teams on the systems.
We can see this, for example, in multiplayer games.
And finally, augmented teams, in which the system helps users
and augment their decisions.
And that could be providing specific recommendations,
or by curating which are going to be
the most effective and appropriate or suitable
teammates for their teams.
And to see how this taxonomy fit in the literature,
we performed a scoping review methodology
starting with more than 2,200 articles.
And we found 126 articles that addressed the architecture's
mechanisms, processes, and users' behaviors on systems
that support in team assembly.
And our results mainly explain that most existing system
designs resulted in limited users agency.
The computer have most of the control.
And in only 33% of the articles, the users
were able to control this process.
And in more than 90 articles, the systems
allowed the participation of just one single user.
In our discussion, we explain and discuss
how the increasing use of these augmented teams
will be key to the future of work,
how these teams can be better and more effective
by the use of these technologies,
and also how these two dimensions can explain
and help us to design and understand
the consequences of the specific futures affordances
in team formation.
Do we want more diverse or less diverse teams?
What kind of teams do we want?
That will be the result of the design of the systems.
Thank you so much, and I will be very
happy to take your questions.