Bienvenida
¿Qué aprenderás?
Introducción
Introducción a las interfaces de voz (VUI)
Tu rol cómo diseñador de conversaciones
Oportunidades
Retos
Retos tecnológicos
Accesibilidad e interfaces de voz
Entendimiento de la conversación humana
Tecnología detrás de las interfaces de voz
Principios de diseño
Descubre y define
¿Cómo defino si la interfaz de voz es el camino adecuado?
Entendimiento de los usuarios
Identificación de los casos de uso clave
Crea una persona para el sistema de voz
Diseño de Interfaz de Voz
Buenas prácticas al escribir los diálogos
Manejo de los errores
Crea los primeros diálogos de la experiencia
Evalúa el primer diálogo
Crea un primer flujo de la conversación
Prototipa y evalúa
Prototipo rápido de la experiencia (Mago de OZ)
Evalúa el prototipo con el usuario
Interfaces multimodal
Interfaces multimodal
Construye y lanza
¿Qué pasa después?
Cierre
El futuro de las interfaces de voz
Cierre
Template para armar tu caso de estudio
Autoevaluación del Curso de Diseño de Interfaces de Voz
Live Class
Live Class - Diseña interfaces de voz
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In the fascinating world of voice interfaces, the benefits are immense, but so are the challenges. Understanding these challenges is crucial for any designer looking to create meaningful, not just functional, experiences. One of the most prominent challenges is managing user trust and privacy. This sensitive aspect directly influences how people interact with these innovative products.
User concerns about being constantly listened to and how their personal information is handled are common. Voice interfaces must strictly comply with information security standards to provide users with peace of mind. Clear examples of this are assistants such as Google and Alexa, which are designed to respond to queries such as "when can you hear me?", ensuring that the technology respects privacy, works when triggered and gives users some control over their own data.
Another pillar in the design of voice interfaces is the management of expectations. From the outset, it is essential that users have a clear understanding of the system's capabilities and limitations. Mismanaging these expectations can lead to frustrating experiences.
For example, when a user asks Alexa what it can do, Alexa responds with clear and simple examples of its functions. This establishes an organic exchange and reduces the risk of an unsatisfactory interaction.
Human communication goes beyond simple words. Factors such as tone of voice, pauses and intonation play a crucial role in how we express ourselves and how we understand each other. Teaching machines to pick up and respond with this same richness is a significant challenge.
To address this complexity, the recommended approach is to use all existing knowledge about human language without attempting to reinvent it. It implies implementing solutions that recognize and reproduce the richness of spoken language in its many dimensions.
Voice technologies, being developed by humans, face the challenge of inherent bias in our thought processes. These unconscious biases can negatively influence decisions related to design and implementation.
A notable case is the Microsoft bot called Tweetwits, which by automatically learning from human behavior, ended up generating offensive content. This example underscores the importance of recognizing and mitigating our biases to prevent technology from engaging in ethically questionable or discriminatory behavior. Best practices include:
By understanding these challenges, voice interface designers can promote a path toward more positive, safe and equitable experiences by encouraging users to confidently adopt these innovative technologies.
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