• 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 ...
• Challenges in the interpretation of colorectal indocyanine green fluorescence angiography: Video vignette 

  Dalli, Jeffrey; Hardy, Niall; Mac Aonghusa, Pol G.; Epperlein, Jonathan P.; Cantillon-Murphy, Pádraig; Cahill, Ronan A. (John Wiley & Sons, Inc., 2021-02-18)

  Colorectal anastomotic leakage remains a serious complication with implications on hospital stay, oncological outcomes(1) and treatment cost. (2) Traditional intra-operative visual perfusion assessment has been shown to ...
• Robust constraint acquisition by sequential analysis 

  Prestwich, Steven D. (IOS Press, 2020-08)

  Modeling a combinatorial problem is a hard and error-prone task requiring expertise. Constraint acquisition methods can automate this process by learning constraints from examples of solutions and (usually) non-solutions. ...

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