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  • 2013

  • Goggins, Sean P.; Valetto, Giuseppe; Mascaro, Christopher; Blincoe, Kelly (2013): Creating a model of the dynamics of socio-technical groups. In: User Modeling and User-Adapted Interaction 23 (4), S. 345-379. DOI: 10.1007/s11257-012-9122-3

    Abstract: Individuals participating in technologically mediated forms of organization often have difficulty recognizing when groups emerge, and how the groups they take part in evolve. This paper contributes an analytical framework that improves awareness of these virtual group dynamics through analysis of electronic trace data from tasks and interactions carried out by individuals in systems not explicitly designed for context adaptivity, user modeling or user personalization. We discuss two distinct cases to which we have applied our analytical framework. These two cases provide a useful contrast of two prevalent ways for analyzing social relations starting from electronic trace data: either artifact-mediated or direct person-to-person interactions. Our case study integrates electronic trace data analysis with analysis of other, triangulating data specific to each application. We show how our techniques fit in a general model of group informatics, which can serve to construct group context, and be leveraged by future tool development aimed at augmenting context adaptivity with group context and a social dimension. We describe our methods, data management strategies and technical architecture to support the analysis of individual user task context, increased awareness of group membership, and an integrated view of social, information and coordination contexts.

    Keywords: Activity awareness, adaptivity, Communities of practice, Computerwissenschaft, Group awareness, Gruppenverhalten / Joint Action, Informations- & Kommunikationstechnik, Mensch-Technik-Relationen (MTR), Networks of practice, Realtechnik, Social Simulation, Task context, Technik, Virtual groups
  • Joosse, M.; Lohse, M.; Pérez, J. G.; Evers, V. (2013) : What you do is who you are: The role of task context in perceived social robot personality: 2013 IEEE International Conference on Robotics and Automation: Karlsruhe, Germany: IEEE, S. 2134-2139

    DOI: https://doi.org/10.1109/ICRA.2013.6630863 

    Abstract: People tend to unconsciously attribute personality traits to all kinds of technology including robots. But what personality do they want robots to have? Previous research has found support for two contradicting theories: similarity attraction and complementary attraction. The similarity attraction theory implies that people prefer a robot with a similar personality to their own (e.g., an extroverted person prefers an extroverted robot). According to the complementary attraction theory, people prefer a robot’s personality opposite to their own (e.g., extroverted people prefer an introverted robot). In contrast to both theories, we argue that what is considered an appropriate personality for a robot depends on the task context. In a 2×2 between-groups experiment (N=45), we found trends that indicated similarity attraction for extrovert participants when the robot was a tour guide and complementary attraction for introverted participants when the robot was a cleaner. These trends show that preferences for robot personalities may indeed depend on the context of the robot’s role and the stereotype perceptions people hold for certain jobs. Robot behaviors likely need to be adapted not in complimentary or similarity to the users’ personality but to the users’ expectations about what kind of personality and behaviors are consistent with such a task or role.

    Keywords: Angemessen(heit) (von Technik), Artificial intelligence, Atmospheric measurements, Cleaning, complementary attraction theory, Context, Humanoid Robots, ieee xplore, Painting, Particle measurements, robot behavior, Robots, similarity attraction theory, social robot personality, speech, Task context
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