Modeling Users' Information Needs in a Document Recommender for Meetings

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Metadata-private messaging designs that scale to support millions of users are rigid: they limit users to a single device that is online all the time and transmits on short regular intervals, and require users to choose precisely when each of their buddies ...

One of the challenges faced by conversational agents is their inability to identify unstated presumptions of their users' commands, a task trivial for humans due to their common sense. In this paper, we propose a zeroshot commonsense reasoning system for c ...

Open-domain chatbots that can engage in a conversation on any topic received significant attention in the last several years, which opened opportunities for studying user interaction with them. Drawing from reviews of chatbots posted on Google Play, we exp ...

Recommendations with personalized explanations have been shown to increase user trust and perceived quality and help users make better decisions. Moreover, such explanations allow users to provide feedback by critiquing them. Several algorithms for recomme ...

The present invention according to one embodiment concerns a computer-implemented method of analysing handwritten characters produced by a user. The method comprises: collecting (107) handwritten characters of the user, the user being part of a given user ...

Robots are becoming more and more present around us, both in industries and in our homes. One key capability of robots is their adaptability to various situations that might appear in the real world. Robot skill learning is therefore a crucial aspect of ro ...

Nowadays, search engines, social media or news aggregators are the preferred services for news access. Aggregation is mostly based on artificial intelligence technologies raising a new challenge: Trust has been ranked as the most important factor for media ...

Failures far away from a user should intuitively be less likely to affect that user. Today's ecosystem miserably fails this test, however, despite high-availability best practices. Correlated and cascading failures – triggered by misconfigurations, bugs, a ...

Human-Robot Interfaces (HRIs) represent a crucial component in telerobotic systems. Body-Machine Interfaces (BoMIs) based on body motion can feel more intuitive than standard HRIs for naive users as they leverage humans’ natural control capability over the ...

Diversity-aware platform design is a paradigm that responds to the ethical challenges of existing social media platforms. Available platforms have been criticized for minimizing users' autonomy, marginalizing minorities, and exploiting users' data for prof ...

Modeling Users' Information Needs in a Document Recommender for Meetings

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Groove: Flexible Metadata-Private Messaging

Conversational Multi-Hop Reasoning with Neural Commonsense Knowledge and Symbolic Logic Rules

User Expectations of Conversational Chatbots Based on Online Reviews

Multi-Step Critiquing User Interface for Recommender Systems

Method of analysing handwritten items

Learning strategies and representations for intuitive robot learning from demonstration

Trust Indicators and Explainable AI: A Study on User Perceptions

Immunizing Systems from Distant Failures by Limiting Lamport Exposure

Does spontaneous motion lead to intuitive Body-Machine Interfaces? A fitness study of different body segments for wearable telerobotics

The Theory, Practice, and Ethical Challenges of Designing a Diversity-Aware Platform for Social Relations