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Found 7 papers, 2 papers with code
Common (good) practices measuring trust in HRI
Trust in robots is widely believed to be imperative for the adoption of robots into people's daily lives.
Chat Failures and Troubles: Reasons and Solutions
This paper examines some common problems in Human-Robot Interaction (HRI) causing failures and troubles in Chat.
Working with Trouble and Failures in Conversation between Humans and Robots (WTF 2023) & Is CUI Design Ready Yet?
Workshop website: https://sites. google. com/view/wtf2023/overview Is CUI Design Ready Yet?
How Do Human Users Teach a Continual Learning Robot in Repeated Interactions?
Continual learning (CL) has emerged as an important avenue of research in recent years, at the intersection of Machine Learning (ML) and Human-Robot Interaction (HRI), to allow robots to continually learn in their environments over long-term interactions with humans.
Continual Learning through Human-Robot Interaction -- Human Perceptions of a Continual Learning Robot in Repeated Interactions
Our results suggest that participants' perceptions of trust, competence, and usability of a continual learning robot significantly decrease over multiple sessions if the robot forgets previously learned objects.
An Interaction-Centric Dataset for Learning Automation Rules in Smart Homes
We present a new type of corpus for learning such rules from user behavior as observed from the events in a smart homes sensor and actuator network.
How to Address Smart Homes with a Social Robot? A Multi-modal Corpus of User Interactions with an Intelligent Environment
In order to explore intuitive verbal and non-verbal interfaces in smart environments we recorded user interactions with an intelligent apartment.
