• Navigation-by-preference: A new conversational recommender with preference-based feedback 

  Rana, Arpit; Bridge, Derek G. (Association for Computing Machinery, ACM, 2020-03-17)

  We present Navigation-by-Preference, n-by-p, a new conversational recommender that uses what the literature calls preference-based feedback. Given a seed item, the recommender helps the user navigate through item space to ...
• Deep reinforcement learning and randomized blending for control under novel disturbances 

  Sohége, Yves; Provan, Gregory; Quinones-Grueiro, Marcos; Biswas, Gautam (2020-07)

  Enabling autonomous vehicles to maneuver in novel scenarios is a key unsolved problem. A well-known approach, Weighted Multiple Model Adaptive Control (WMMAC), uses a set of pretuned controllers and combines their control ...
• Room for one more? - Introducing artificial commensal companions 

  Mancini, Maurizio; Niewiadomski, Radoslaw; Huisman, Gijs; Bruijnes, Merijn; Gallagher, Conor Patrick (Association for Computing Machinery, ACM, 2020-04)

  Commensality is defined as "a social group that eats together" and eating in a commensality setting has a number of positive effects on humans. In this paper, we discuss how HCI and technology in general can be exploited ...
• Impression detection and management using an embodied conversational agent 

  Wang, Chen; Biancardi, Beatrice; Mancini, Maurizio; Cafaro, Angelo; Pelachaud, Catherine; Pun, Thierry; Chanel, Guillaume (Springer, 2020-07-10)

  Embodied Conversational Agents (ECAs) are a promising medium for human-computer interaction, since they are capable of engaging users in real-time face-to-face interaction [1, 2]. Users’ formed impressions of an ECA (e.g. ...
• Towards privacy-anomaly detection: Discovering correlation between privacy and security-anomalies 

  Khan, Muhammad Imran; Foley, Simon N.; O'Sullivan, Barry (Elsevier, 2020-08-06)

  In this paper a notion of privacy-anomaly detection is presented where normative privacy is modelled using k-anonymity. Based on the model, normative privacy-profiles are constructed, and deviation from normative privacy-profile ...

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