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Virtual agents / Chatbots
in Netherlands

List of all chatbots (virtual assistants, chat bot, conversational agents, virtual agents) in the World - Text synthesis - Netherlands - Dynamically generate new and personalized sentences, based on the users’ input
chatbot, chatterbot, conversational agent, virtual agent Semanticizer @semanticizer reads your tweet and returns the most 'common' Wikipedia concept/page it detects. @semanticizer is powered by a public webservice to extract known concepts from raw text, which is being developed at the Intelligent Systems Lab Amsterdam (University of Amsterdam).
chatbot, chatterbot, conversational agent, virtual agent Iris Iris is de virtuele medewerkster van ANWB. ANWB leden kunnen 24 uur per dag bij haar terecht met vragen over Verzekeringen, Wegenwacht en Lidmaatschap. Iris is de online gids voor de leden van de ANWB op hun reis over de website. Ze helpt de leden om hun weg te vinden naar de ingelogde omgevingen ‘Mijn ANWB’ & ‘Mijn Verzekeringen’ om online alles te regelen.
chatbot, chatterbot, conversational agent, virtual agent Vera Vera is de virtuele medewerker van Randstad. Randstad is wereldwijd een van de grootste bedrijven in de uitzendbranche. Vera helpt op de eerste plaats met het inloggen op de portal 'Mijn Randstad'.
Nadat de gebruiker is ingelogd helpt Vera onder andere met:
het indienen van loonbriefjes
ziek melden
aanbieden van vactures
vakantiedagen aanvragen
chatbot, chatterbot, conversational agent, virtual agent Eve Eve is your Voice Answer assistant. She has a positive attitude and will try to look up all information you require. You can also just decide to have a general chat with her. She has some strong feelings about herself and beings with artificial intelligence. Don’t insult her for being just a computer program, she considers herself to be more than that.. Good luck, and have fun!
chatbot, chatterbot, conversational agent, virtual agent Eva Onlangs is, in opdracht van Abovomedia, de chatbot Eva gelanceerd. Deze chatbot is ingezet op de website van winkelketen Action. Ze helpt de bezoekers met het vinden van de juiste vacature bij Action. De chatbot is gekoppeld aan een geavanceerd beheersysteem (Knowledge Management Systeem) waar de beheerder de intelligentie van de chatbot kan invoeren en aanpassen.
chatbot, chatterbot, conversational agent, virtual agent DEIRA DEIRA - Dynamic Engaging Intelligent Reporter Agent is a virtual horse race reporter, specifically designed for reporting on horse races. The intention is to provide an alternative for real race reporters. Usage and adaptation The system may be adapted in many ways. The face can easily be replaced, as long as it can be used by Visage Interactive. The voice can be generated by any text-to-speech generator. What events are generated and the corresponding sentences that can be uttered about that event can also easily be adjusted, since they are expressed in rules and grammars respectively. This means adapting the reporter to report on a different type of race should be an easy thing to do. Also, the system is designed in a very modular way, which should make other structural changes fairly straight-forward to make.

DEIRA has a large vocabulary, which is easily extendible to include even more. Emotional display is done by intonation of speech as well as physically in the face. The design was highly influenced by the opinions of potential users (in the case of horse race reporting), who were polled multiple times during development. The system is also easily adjustable for use in other kinds of races.

The provided horse race simulation software is used to provide input on the state of the race. DEIRA analyses this information and eventually sends the resulting utterance including emotional expression to the visual representation software Visage Interactive which in turn shows the agent reporting the race.

Within DEIRA, horse race information is received by the Race Analysis Module, which scans the changing race state for events that are possibly interesting to report. These events are then passed on to the Mental Model which adjusts the global mental state and adds a local mental state to the incoming events. The events are then queued in the Event Queue, making them available for the other modules.

The Text Generation Module takes the highest priority event without text and generates suitable sentences based on the grammar to describe it. The Speech Generation Module is responsible for making this text suitable for the text-to-speech engine, also adding the emotional aspects to the speech.

The Face Animation Module provides the corresponding facial expression information. When an event has obtained all the necessary information from these modules, the Output Module sends it all through to Visage.
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