In this paper, we foreground some of the key research challenges that arise in the design of
trustworthy human-AI partnerships. In particular, we focus on the challenges in designing …

Asynchronous messaging is leading human-machine interaction due to the boom of mobile
devices and social networks. The recent release of dedicated APIs from messaging …

Often because of limitations in generation capacity of power stations, many developing
countries frequently resort to disconnecting large parts of the power grid from supply, a …

Preference Elicitation with Interdependency and User Bother Cost Page 1 Preference
Elicitation with Interdependency and User Bother Cost Tiep Le New Mexico State University …

We introduce a novel approach to demand side management: Instead of using flexibility that
needs to be defined by a domain expert, we identify a small subset of processes of eg an …

Deep learning (DL) models have emerged in recent years as the state-of-the-art technique
across numerous machine learning application domains. In particular, image processing …

ABSTRACT Weighted Constraint Satisfaction Problems (WCSPs) are an elegant paradigm
for modeling combinatorial optimization problems. A key assumption in this model is that all …

In this paper we investigate how social robots can efficiently gather user preferences without
exceeding the allowed user annoyance threshold. To do so, we use a Gazebo based …

AI systems or agents that interact with users generally require information about user
preferences to act effectively on their behalf. Such preferences can be obtained in a variety …

Modelling the occupancy of buildings, rooms or the usage of machines has many
applications in varying fields, exemplified by the fairly recent emergence of smart, self …