Recommender Interfaces: The More Human-Like, the More Humans Like

  • Mariacarla Staffa
  • Silvia Rossi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9979)


Social robots, when used for information providing, are able to affect humans’ trustworthiness and willingness to interact with them. In this work, we conducted an experimental study aimed at observing if the users’ acceptance of recommendations, as well as their engagement in the interaction, is elicited when using a humanoid robot with respect to a common application on a mobile phone. We conducted an experimental study on movie recommendation where the two interfaces provide the same contents, but through different communication channels. In detail, the robot will attend to the participants in a socially contingent fashion, signaled via head and gaze orientation, speech, eye color and gestures related to the genre of the recommended movie, and the app will provide textual and graphical movie presentation. Results show that while the users perceive the interaction with the mobile application more natural, the social robot is able to enhance the users’ satisfaction and provides a good and stable acceptance rate also when facing participants with various degrees of English proficiency.


Acceptance Rate Mobile Application Humanoid Robot English Proficiency Social Robot 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work has been partially funded by the European Commission’s as part of the RoDyMan project under grant 320992 and supported by the Italian National Project “Security for Smart Cities” PON-FSE Campania 2014-20. Authors thank Francesco Cervone, Anna Tamburro and Valentina Sica for their contribution in code development and testing.


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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Department of EngineeringUniversity of Naples ParthenopeNaplesItaly
  2. 2.Department of Electrical Engineering and Information TechnologyUniversity of Naples Federico IINaplesItaly

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