A personality based adaptive approach for information systems
Section snippets
Introduction and motivations
Recent studies highlighted that to better satisfy goals of different users during a learning experience it is important to consider their personalities in order to find and deliver the best available material and to allow them being at ease (Chi, Chen, & Tsai, 2014). Other studies underlined that it is reductive to connect the employability only to the competence searching because it should analyse psycho-aptitude aspects in order to understand whether a user is recommended for a job, for a
Related works
In Ross and et al. (2009), the authors assert that it is possible to infer the personality of the people from the activities they virtually live in the social networks. In fact, the five labs solution1 is able to extract the personality of the users from the interaction they do in Facebook with their friends and contacts. The authors of Schwartz and et al. (2013) designed the approach implemented in this solution that analyses words, phrases and topic instances collected
Overall approach
The approach proposed in our work aims at the definition of a personality-based adaptive system that may interoperate with existing systems for learning or information and knowledge sharing and that is able to instantiate the best interactive process for the users.
When a system may offer services to the users by adopting different processes and related interfaces, the choice of the best interactive process is not clear a priori, but it may depend on a set of issues related to technical aspects
Early experimentation and evaluation
Starting from a set of about 600 contacts, we extracted their personality traits by using the fivelabs solution.
To all contacts, we described different interactive processes, we showed the related interfaces and we asked them to select which was the process they preferred.
By means of a poll on Facebook3, as showed in the following Fig. 5, we asked, for a specific e-commerce issue (e.g. looking for a restaurant, booking a room in a hotel), which kind of interaction the users
Conclusions and future works
We defined a new adaptive approach that is able to suggest the best interactive process to the users that are engaged in using applications whose general main issue is to provide information. It may happen into a wide set of contexts like collaborative learning, knowledge management and information retrieval. Of course, when an application offers different possible available interaction paths, the way to provide services and results is important for the user’s feeling and, often, for the
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