algorithms Archives - WeNet

The Chatbot Pilot Data

galileomartel — Fri, 25 Jun 2021 07:49:04 +0000

During the second half of March (except for University of Trento, which has recently wrapped up their data collection), the first round of WeNet Pilots unfolded in four locations across the globe: National University of Mongolia, University of Aalborg (Denmark), the Universidad Católica “Nuestra Señora de la Asunción” (Paraguay) and the London School of Economics (UK). Scenario and focus The pilots…

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WeNet diversity measurement pilots

galileomartel — Thu, 26 Nov 2020 09:47:31 +0000

We have successfully completed the first phase of the survey on the field research and the diversity measurement pilots aiming at collecting the data needed to build the model of diversity and training the algorithms to be used in the pilot iterations that will follow. The preparatory activities have involved a number od WeNet academic…

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D. Gatica-Perez “La inteligencia artificial: un enfoque social” – Swiss Innovation Night, June 2019

galileomartel — Fri, 09 Oct 2020 14:46:45 +0000

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WeNet Podcast at Future Tech Week 2020

galileomartel — Wed, 23 Sep 2020 14:54:20 +0000

The first WeNet Podcast “An interdisciplinary discussion of ethics and data sciences for personalization technology” is part of this year’s Future Tech Week’s calendar (21-25 September). In the podcast, originally published on WeNet’s official YouTube channel, ethics researcher Laura Schelenz (International Center for Ethics in the Sciences and Humanities, University of Tübingen) and data scientist…

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WeNet Podcast: An interdisciplinary discussion of ethics and data sciences for personalization technology

galileomartel — Thu, 18 Jun 2020 13:32:25 +0000

Machine generated personalization is increasingly used in online systems. Personalization is intended to provide users with relevant content, products, and solutions that address their respective needs and preferences. However, users are becoming increasingly vulnerable to online manipulation due to algorithmic advancements and lack of transparency. Such manipulation decreases users’ levels of trust, autonomy, and satisfaction…

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Interpretable Models for Understanding Immersive Simulations

galileomartel — Tue, 09 Jun 2020 15:34:00 +0000

Kobi Gal from WeNet’s partner Ben-Gurion University (Israel) recently contributed to a paper on “Interpretable Models for Understanding Immersive Simulations”. The paper describes methods for comparative evaluation of the interpretability of models of high dimensional time series data inferred by unsupervised machine learning algorithms. The time series data used in this investigation were logs from an immersive…

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D4.1 Algorithms and Implementation of Single User Incentive Design

galileomartel — Mon, 08 Jun 2020 11:21:20 +0000

We describe our work of developing non-monetary incentives for increasing motivation and improving productivity and engagement for single users. We elaborate on our research and implementations of harnessing a recommendation based method focusing on increasing engagement and satisfaction by matching tasks to users. In our research we take a computational based approach, which uses participants’…

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Interpretable Models for Understanding Immersive Simulations

galileomartel — Mon, 08 Jun 2020 08:49:10 +0000

This paper describes methods for comparative evaluation of the interpretability of models of high dimensional time series data inferred by unsupervised machine learning algorithms. The time series data used in this investigation were logs from an immersive simulation like those commonly used in education and healthcare training. The structures learnt by the models provide representations…

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D2.1 Initial individual learning methods

galileomartel — Thu, 04 Jun 2020 16:43:28 +0000

The overall objective of WP2 (Diversity-Aware Learning of Individual Behaviour) is to design and implement, from mobile sensor and app data, new algorithms to achieve diversity-aware individual routine learning, and diversity-aware user category learning. In other words, the learning methods in WP2 provide the situational context of users of the diversity-aware, mobile WeNet platform. The…

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Inspiration and Affirmation for WeNet at the FAT* Conference 2020

galileomartel — Thu, 20 Feb 2020 10:17:22 +0000

A computer sciences conference that focuses on ethical issues, the ACM conference on Fairness, Accountability, and Transparency is a must-visit for interdisciplinary research teams that aspire to providing more inclusive and fair technological solutions. Members of the WeNet consortium joined the gathering from 27-30 January 2020 at the Barceló Sants hotel in Barcelona. A good…

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