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Market Map: Chatbots & Voice Assistants for Research

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Conversational platforms for research fall into three tiers.

1. Messaging interfaces

These research tools that mimic the WhatsApp / WeChat / Messenger format, and sometimes embed directly into these apps. Question formats are typically structured (pick from a list of options), free-text or media upload.

Machine learning helps to analyse the content of unstructured inputs (words, pictures, videos), but they’re not ‘intelligent’ – they don’t respond on-the-fly. Most research in a messaging format is really a pre-programmed survey or a discussions with lots of branching logic.

2. Chatbots

The next step up is chatbots – software that can respond to inputs and adapt its responses more intelligently.

Actually, the distinction between level 1 and 2 is not so clean – most messaging research apps have a mix of both of these. Where there is more training data – for example in continuous studies on the same topic – the bots re getting cleverer and able to adapt better.

3. Voice assistants for research

These use the same underlying machine learning models as chatbots – but need an additional AI layer to process the voice inputs and convert them to text.

Voice assistants for research use the Amazon Alexa, Microsoft Cortana or Google Home platforms.

Chatbots & Voice Research Platforms Market Map
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