{"id":1658,"date":"2020-08-31T18:02:00","date_gmt":"2020-08-31T16:02:00","guid":{"rendered":"https:\/\/www.tolk.ai\/les-chatbots-sont-ils-tous-idiots-d48cbf0b9b9\/"},"modified":"2026-02-18T10:42:14","modified_gmt":"2026-02-18T09:42:14","slug":"chatbots-intelligents-reve-ou-realite","status":"publish","type":"post","link":"https:\/\/www.tolk.ai\/en\/blog-ia\/tendances\/chatbots-intelligents-reve-ou-realite","title":{"rendered":"Chatbots intelligents : r\u00eave ou r\u00e9alit\u00e9 ?"},"content":{"rendered":"\t\t
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Les chatbots intelligents suscitent autant d\u2019espoirs que de questions !<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Lin\u00e9aire vs. Non-lin\u00e9aire<\/h2>\n

Les chatbots intelligents existent-ils vraiment ? <\/p>\n

Tout d\u2019abord, il est important de distinguer deux grandes familles de chatbots. Les chatbots lin\u00e9aires, d\u00e9mocratis\u00e9s dans les ann\u00e9es 90. Install\u00e9s sur des sites internet, ils aidaient les visiteurs \u00e0 naviguer dans les contenus d\u2019un site. Peu pr\u00e9cis, ces outils ont \u00e9t\u00e9 balay\u00e9s par des moteurs de recherches aux performances bien plus \u00e9lev\u00e9s, bien plus simples \u00e0 utiliser.<\/p>\n

A partir des ann\u00e9es 2010, une nouvelle g\u00e9n\u00e9ration de robots conversationnels a vu le jour gr\u00e2ce aux progr\u00e8s des technologies cognitives associ\u00e9es \u00e0 la compr\u00e9hension du langage naturel (NLU). Ces chatbots non-lin\u00e9aires, \u00e0 tort qualifi\u00e9s de chatbots intelligents, se g\u00e9n\u00e9ralisent, pouss\u00e9s par l\u2019utilisation massive des applications de Messaging. On ne se parle plus, on s\u2019\u00e9crit. C\u2019est le cas pour 62% des am\u00e9ricains de moins de 30 ans qui d\u00e9clarent pr\u00e9f\u00e9rer le messaging au t\u00e9l\u00e9phone<\/a> quand il s\u2019agit de communiquer avec leurs amis. Les interfaces conversationnelles sont d\u00e9finitivement les interfaces du futur pour les mill\u00e9nnials.<\/p>


<\/p>\n

<\/p>\n

B\u00e9n\u00e9fices pour l\u2019utilisateur<\/h2>\n

La diff\u00e9rence majeure entre ces 2 types de chatbots r\u00e9sident dans l\u2019exp\u00e9rience utilisateur. Dans le cas du chatbot lin\u00e9aire, l\u2019utilisateur est cantonn\u00e9 \u00e0 une attitude passive dans laquelle il se contente de r\u00e9pondre aux sollicitations du chatbot. On remarque que la distance qui s\u00e9pare une question de sa r\u00e9ponse est grande, compte tenu du caract\u00e8re contraint de l\u2019exp\u00e9rience. Ces chatbots suivent des parcours construits sous la forme d\u2019arbres d\u00e9cisionnels, qui imposent \u00e0 l\u2019utilisateur d\u2019accomplir un certain nombre d\u2019actions avant d\u2019obtenir \u00e0 une r\u00e9ponse pertinente.<\/p>\n

Il existe une autre forme d\u2019interaction. En utilisant l\u2019intelligence artificielle, il est possible d\u2019abandonner la logique d\u2019arbres de d\u00e9cisions. Ainsi, l\u2019int\u00e9gration d\u2019une technologie NLP dans l\u2019exp\u00e9rience modifie int\u00e9gralement l\u2019exp\u00e9rience utilisateur, pour la simplifier et la rendre beaucoup plus humaine. On parle alors de “chatbots intelligents” puisque capables d\u2019analyser et d\u2019interpr\u00e9ter les intentions contenues dans une phrase en langage naturel, et de d\u00e9clencher des actions n\u00e9cessaires pour produire une r\u00e9ponse pertinente. La distance qui s\u00e9pare la question d\u2019une r\u00e9ponse pertinente est tr\u00e8s courte.<\/p>\n

Google semble avoir compris l\u2019int\u00e9r\u00eat d\u2019une meilleure compr\u00e9hension des intentions d\u2019un utilisateur via l\u2019analyse du langage naturel. Depuis quelques mois, vous obtenez des r\u00e9sultats beaucoup plus rapidement, directement sur l\u2019interface de pr\u00e9sentation des r\u00e9sultats de la recherche.<\/p>


<\/p>\n

Vers une r\u00e9volution ?<\/h2>\n

Il s\u2019agit d\u2019une innovation de rupture qui explique l\u2019enthousiasme des publics pour cette nouvelle g\u00e9n\u00e9ration d\u2019interfaces. Au-del\u00e0 de la hype naturelle qui entoure ce genre de ph\u00e9nom\u00e8ne, il s\u2019agit d\u2019une v\u00e9ritable r\u00e9volution pour l\u2019utilisateur.<\/p>\n

\n

Pour la premi\u00e8re fois, les interfaces disparaissent. C\u2019est un changement de paradigme : les machines comprennent les humains, plus l\u2019inverse.<\/span><\/p>\n<\/blockquote>\n

C\u2019est un pas de plus vers l\u2019ultra-digitalisation de nos environnements physiques.
Environnements qui a terme verront dispara\u00eetre les interfaces graphiques au profits d\u2019interfaces en langage naturel (voix ou texte). Les objets, de plus en plus connect\u00e9s, vont devenir de plus intelligents. C’est le promesse faite par les technologies de compr\u00e9hension du langage naturel, qui s’am\u00e9liore au f\u00fbr et \u00e0 mesure que nous explorons toutes les disciplines de l’intelligence artificielle.<\/p>\n

Les interactions Homme \/ Machine vont \u00e9voluer pour ressembler de plus en plus \u00e0 des interfaces Homme \/ Homme. La convergence du conversationnel et de l\u2019IoT nous laisse penser qu\u2019un nouveau monde est en train d\u2019\u00e9merger.<\/p>\n

Un monde o\u00f9 l\u2019humain devient de plus en plus impatient, o\u00f9 les consommateurs attendent des marques qu\u2019elles soient beaucoup plus disponibles et capables de proposer de nouveaux services, avec des degr\u00e9s de personnalisation et de contextualisation forts.<\/p>\n


<\/p>\n

Et demain?<\/h2>\n

Cot\u00e9 marque, la question se pose de leur capacit\u00e9 \u00e0 r\u00e9colter, structurer, analyser et utiliser les \u00e9normes volumes de donn\u00e9es qui transitent dans ces nouveaux \u00e9co-syst\u00e8mes.<\/p>\n

La compr\u00e9hension des comportements, par une analyse profonde des donn\u00e9es, sera sans aucun doute un des facteurs de diff\u00e9renciation sur des march\u00e9s de plus en plus ouverts et concurrentiels.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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