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20182023
most citedSubmitting surveys via a conversational interface: an evaluation of user acceptance and approach effectiveness

67 citations · 98 across the 5 of their papers we have counts for

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cs.HC20202 cited

Who is this Explanation for? Human Intelligence and Knowledge Graphs for eXplainable AI

Irene Celino

eXplainable AI focuses on generating explanations for the output of an AI algorithm to a user, usually a decision-maker. Such user needs to interpret the AI system in order to deci…

cs.HC202067 cited

Submitting surveys via a conversational interface: an evaluation of user acceptance and approach effectiveness

Irene Celino, Gloria Re Calegari

Conversational interfaces are currently on the rise: more and more applications rely on a chat-like interaction pattern to increase their acceptability and to improve user experien…

cs.HC2018

Interplay of Game Incentives, Player Profiles and Task Difficulty in Games with a Purpose

Gloria Re Calegari, Irene Celino

How to take multiple factors into account when evaluating a Game with a Purpose? How is player behaviour or participation influenced by different incentives? How does player engage…

cs.HC2018

A Framework to build Games with a Purpose for Linked Data Refinement

Gloria Re Calegari, Andrea Fiano, Irene Celino

With the rise of linked data and knowledge graphs, the need becomes compelling to find suitable solutions to increase the coverage and correctness of datasets, to add missing knowl…

cs.HC2018

An Incremental Truth Inference Approach to Aggregate Crowdsourcing Contributions in Games with a Purpose

Irene Celino, Gloria Re Calegari

We introduce our approach for incremental truth inference over the contributions provided by players of Games with a Purpose: we motivate the need for such a method with the specif…