51 citations · 65 across the 6 of their papers we have counts for
6 papers
The experience of humans' and robots' mutual (im)politeness in enacted service scenarios: An empirical study
Victor Kaptelinin, Suna Bensch, Thomas Hellström +2
The paper reports an empirical study of the effect of human treatment of a robot on the social perception of the robot's behavior. The study employed an enacted interaction between…
Mining multi-modal communication patterns in interaction with explainable and non-explainable robots
Suna Bensch, Amanda Eriksson
We investigate interaction patterns for humans interacting with explainable and non-explainable robots. Non-explainable robots are here robots that do not explain their actions or…
Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)
A. Sutherland, S. Bensch, T. Hellström +2
Sentiment analysis has transitioned from classifying the sentiment of an entire sentence to providing the contextual information of what targets exist in a sentence, what sentiment…
Conversational Norms for Human-Robot Dialogues
Maitreyee Tewari, Thomas Hellström, Suna Bensch
This paper describes a recently initiated research project aiming at supporting development of computerised dialogue systems that handle breaches of conversational norms such as th…
Probing Multimodal Embeddings for Linguistic Properties: the Visual-Semantic Case
Adam Dahlgren Lindström, Suna Bensch, Johanna Björklund +1
Semantic embeddings have advanced the state of the art for countless natural language processing tasks, and various extensions to multimodal domains, such as visual-semantic embedd…
Bias in Machine Learning -- What is it Good for?
Thomas Hellström, Virginia Dignum, Suna Bensch
In public media as well as in scientific publications, the term \emph{bias} is used in conjunction with machine learning in many different contexts, and with many different meaning…