Searching Pancho's Soul: An Intelligent Virtual Agent for Human Teams

Vera, Raúl A. Aguilar; Jiménez, Antonio; Imbert, Ricardo

doi:10.1109/cerma.2007.4367747

Cited by 9 publications

(8 citation statements)

References 2 publications

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“…Otros trabajos [1] [10] tienen por objetivo lograr grupos balanceados según la teoría de combinación de roles desarrollada por Belbin. Para ello, en [10] se realiza una asignación dinámica de roles a equipos formados previamente teniendo en cuenta las diferencias culturales, de personalidad, y sus efectos sobre el trabajo en equipo.…”

Section: Trabajos Relacionados En Detección De Rolesunclassified

“…Para ello, en [10] se realiza una asignación dinámica de roles a equipos formados previamente teniendo en cuenta las diferencias culturales, de personalidad, y sus efectos sobre el trabajo en equipo. En cambio, en [1] se propone un agente inteligente que actúa como miembro de un equipo y toma los roles más adecuados en cada momento para balancear el grupo. Por otro lado, en [15] se propone una herramienta que genera grupos utilizando información referente a las personalidades, habilidades y debilidades de los miembros para evitar conflictos.…”

Section: Trabajos Relacionados En Detección De Rolesunclassified

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Automatic Detection of Team Roles in Computer Supported Collaborative Work

García

Balmaceda

Schiaffino

et al. 2013

IEEE Latin Am. Trans.

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Computer systems designed to support teamwork are environments that enable and enhance collaboration among users. These systems, named groupware, incorporate techniques that facilitate communication and coordination among team members to improve group performance. However, as not all team members are identical, it is important to study users' characteristics to build more productive teams.Team Roles Theory allows obtaining the best possible performance taking into account individual skills, combining the weaknesses of each role with the strengths of other team members. Therefore, it is essential in group formation to consider mind the role each member is capable of playing. Currently, each team member has to complete lengthy questionnaires to determine his team role.We propose an approach for automatic detection of team roles from the observation of user interactions in CSCW systems. Particularly, we apply Artificial Intelligence to obtain the team role that best suits a user's characteristics and behaviours. To achieve this, the performance of various classification algorithms was analyzed. The results show that our approach can detect team roles with high degrees of precision.

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Section: Trabajos Relacionados En Detección De Rolesunclassified

Automatic Detection of Team Roles in Computer Supported Collaborative Work

García

Balmaceda

Schiaffino

et al. 2013

IEEE Latin Am. Trans.

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“…Other investigations also propose similar models applied to the Software Engineering Area in order to make teams with better performance and efficiency (Dafoulas 2001). In (Aguilar et al 2007) it is proposed an intelligent agent that acts like another team member and takes the needed role in order to balance the team. Moreover, in (Licorish et al 2009) a tool that forms groups using people information in order to avoid conflicts is proposed.…”

Section: Observed Interactionsmentioning

confidence: 99%

“…The concept of role was defined as a group of behavioral patterns expected and attributed to someone that occupies a certain position in a social unit (Aguilar et al 2007, Belbin 1993. Several models and theories have emerged that study how the different roles contribute to the group work, and propose the different roles that people can take in a work group.…”

Section: Background: Team Rolesmentioning

confidence: 99%

Redes Bayesianas para detección de roles de equipos en aprendizaje colaborativo soportado por computadoras

2015

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Resumen: El trabajo colaborativo soportado por computadoras permite a los estudiantes que se encuentran en lugares remotos trabajar de manera conjunta en el mismo entorno virtual y permite la comunicación de ideas e información entre los integrantes del grupo. Sin embargo, como no todos los estudiantes son iguales, es importante estudiar las características de éstos para construir grupos de trabajo más productivos. La teoría de roles de equipo posibilita obtener buen desempeño en los equipos de trabajo considerando habilidades individuales, combinando las falencias de cada rol con las fortalezas de los otros. Generalmente, las personas tienen que completar extensos cuestionarios para poder determinar sus roles de equipo. En este trabajo, se propone un método alternativo para realizar esta detección a través de un sistema de aprendizaje colaborativo y a partir de la utilización de la técnica de Redes Bayesianas. Palabras clave: roles de equipo; trabajo colaborativo soportado por computadoras; redes Bayesianas.Abstract: Computer-supported collaborative learning allows students who are in different places to work together in the same virtual space, and supports the communication of ideas and information among learners. However, as not all students are identical, it is important to study users' characteristics to build more productive teams. Team Roles Theory allows obtaining very good team performance taking into account individual skills, combining the weaknesses of each role with the strengths of others. Originally, people have to complete extensive questionnaires to determine their team role. In this work we propose an alternative method to make this detection through a collaborative learning system and by using a Bayesian Network.

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“…The Big Five factors are openness to experience (inventive/curious vs consistent/cautious), conscientiousness (efficient/organised vs easy-going/careless), extraversion (outgoing/energetic vs solitary/reserved), agreeableness (friendly/compassionate vs cold/unkind), and neuroticism (sensitive/nervous vs secure/confident). We decided to use this model because it is the one that has gained consensus in the psychology field and it is one of the most widely used in academic research (Tupes and Christal, 1961;Norman, 1963;Digman and Inouye, 1986;McCrae and Costa, 1989;Digman, 1990;Goldberg, 1992;Mount and Barrick, 1998;Aguilar et al, 2007;Feldt et al, 2010). Moreover the FFM has been used in various domains.…”

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confidence: 99%

How do personality traits affect communication among users in online social networks?

Balmaceda

Schiaffino

Godoy

2014

Online Information Review

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Emerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services. Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.

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Searching Pancho's Soul: An Intelligent Virtual Agent for Human Teams

Cited by 9 publications

References 2 publications

Automatic Detection of Team Roles in Computer Supported Collaborative Work

Automatic Detection of Team Roles in Computer Supported Collaborative Work

Redes Bayesianas para detección de roles de equipos en aprendizaje colaborativo soportado por computadoras

How do personality traits affect communication among users in online social networks?

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