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Evaluating critiquing-based recommencler agents

Related publications (46)

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers

Text Reuse reveals meaningful reiterations of text in large corpora. Humanities researchers use text reuse to study, e.g., the posterior reception of influential texts or to reveal evolving publication practices of historical media. This research is often ...

2023

Poster World. Bespoke AI Meets Curator Expertise for Public Engagement

Mathieu Salzmann, Delphine Ribes Lemay, Nicolas Henchoz, Emily Clare Groves, Andrea Regula Schneider

Though museums are digitising their archives, online consultations remain low. New forms of engagement bring these digital memories to life and can support museums in maintaining and developing digital resources. Artificial Intelligence presents opportunit ...

2022

Misplaced Trust and Distrust: How Not to Engage with Medical Artificial Intelligence

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Artificial intelligence (AI) plays a rapidly increasing role in clinical care. Many of these systems, for instance, deep learning-based applications using multilayered Artificial Neural Nets, exhibit epistemic opacity in the sense that they preclude compre ...

CAMBRIDGE UNIV PRESS2022

A 3D indicator for guiding AI applications in the energy sector

Christophe Ballif, Alessandro Francesco Aldo Virtuani, Hugo James André Quest, Marine Dominique Cauz, Fabian Heymann, Laure-Emmanuelle Perret Aebi, Christian Rod

The utilisation of Artificial Intelligence (AI) applications in the energy sector is gaining momentum, with increasingly intensive search for suitable, high-quality and trustworthy solutions that displayed promising results in research. The growing interes ...

2022

Artificial intelligence across company borders

Olga Fink

Enabling effective cross-company AI without data disclosure. ...

2022

Trust Indicators and Explainable AI: A Study on User Perceptions

Daniel Gatica-Perez, Delphine Ribes Lemay, Nicolas Henchoz, Andreas Sonderegger, Thanh Trung Phan

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 ...

Springer2021

Robot Mirroring: Promoting Empathy with an Artificial Agent by Reflecting the User's Physiological Affective States

Diego Felipe Paez Granados

Self-tracking aims to increase awareness, decrease undesired behaviors, and ultimately lead towards a healthier lifestyle. However, inappropriate communication of self-tracking results might cause the opposite effect. Subtle self-tracking feedback is an al ...

IEEE2020

Optimization for Reinforcement Learning: From a single agent to cooperative agents

Volkan Cevher

Fueled by recent advances in deep neural networks, reinforcement learning (RL) has been in the limelight because of many recent breakthroughs in artificial intelligence, including defeating humans in games (e.g., chess, Go, StarCraft), self-driving cars, s ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020

Broadening artificial intelligence education in K-12: Where to Start?

Pierre Dillenbourg

Moving from steam and waterpower, electricity and assembly lines, and computerization, to the adoption of cyber-physical systems, the Internet of Things and the Internet of Systems executed as intelligent machines, the world now dives into a new era called ...

2020

The UX Construct – Does the Usage Context Influence the Outcome of User Experience Evaluations?

Andreas Sonderegger

How are different measures of user experience (UX) related to each other? And does it differ if a technological device is used for work or leisure with regard to UX? In the present study, the influence of context factors (i.e. usage domain) on the outcomes ...

Springer2019

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