Elsevier

Computers in Human Behavior

Volume 44, March 2015, Pages 156-165
Computers in Human Behavior

A personality based adaptive approach for information systems

https://doi.org/10.1016/j.chb.2014.10.058Get rights and content

Highlights

  • We defined a new adaptive approach to suggest the best interaction to the users.

  • We get the personality of the users by inferring it from the social networks.

  • The adaptive system instantiates for each user the best process and interface.

  • The proposed approach includes two different layers of personalization.

  • The approach suggests the interaction process for collaborative learning.

Abstract

In every context where the objective is matching needs of the users with fitting answers, the high-level performance becomes a requirement able to allow systems being useful and effective. The personalization may affect different moments of computer–humans interaction routing the users to the best answers to their needs. The most part of this complex elaboration is strictly related with the needs themselves and the residual is independent from it. It is what we may face by getting personality traits of the users.

In this paper, we describe an approach that is able to get the personality of the users by inferring it from the social activities they do in order to drive them to the interactive processes they should prefer. This may happens in a wide set of situations, when they are deepened in a collaborative learning experience, in an information retrieval problem, in an e-commerce process or in a general searching activity.

We defined a complete model to realize an adaptive system that may interoperate with information systems and that is able to instantiate for all the users the processes and the interfaces able to give them the best feeling and to the system the highest possible performance.

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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