Human-in-the-Loop (HITL) in Text Automation
Human-in-the-Loop is an approach in text automation where human users are integrated into the processes of automated content creation. From the outset, marketing, content and SEO teams are involved in the processes of automated content creation, thereby ensuring high quality and accuracy of the generated texts.
Human Users as Controllers and Optimisers
In Human-in-the-Loop, human users take on the role of controllers and optimisers in text automation. They are initially active in structuring and creating the texts, thereby ensuring the quality and relevance of the provided content.
In the initial phase, the users define the goals and requirements of text automation. They determine which content should be generated, to what extent and with what objective. They ensure that the solutions used capture the right context and conditions for content creation. At the same time, human users are responsible for the continuous improvement of the output. They provide feedback and adapt the text automation to new requirements and conditions.
Even though text automation is designed to make autonomous decisions, the responsibility for it to operate within legal and ethical boundaries lies with the users. Human-in-the-Loop ensures that text automation is not only efficient but also employed responsibly and flawlessly. Contemporary solutions contribute to ensuring that the generated quality of the texts meets expectations and the brand and product integrity is maintained.
Functioning of Human-in-the-Loop
Human-in-the-Loop is based on data-driven text templates. These create ideal conditions for automatically generated content using structured data. Simply put, this refers to information in table form. In the case of product descriptions, these are for example article features such as colour, size or weight. For human users, such number sequences are only processable with considerable effort when dealing with a large number of product descriptions. The text templates, on the other hand, ensure targeted further processing and a convincing customer experience by translating the provided data into texts.
Despite the text automation based on the initial setup, the data-based text templates should be regularly re-examined for content edge cases and adjusted accordingly. This is because automated content creation does not make marketing, content and SEO teams redundant – rather, it's about them accompanying text automation as "Human-in-the-Loop" and possibly intervening directly in the text template.
Advantages of Human-in-the-Loop in Text Automation
Human-in-the-Loop enables the quality and accuracy of the automatically generated texts to be guaranteed. The users can prepare the text templates, taking into account relevant information and contexts. This way, distortions and errors ("hallucinations") are avoided.
At the same time, Human-in-the-Loop is a flexible approach that can be adapted to individual requirements in order to consistently and consistently deliver brand and product messages. The users can further develop the text templates at any time to realign or update the content output.
Human-in-the-Loop can significantly increase the efficiency of text automation. The human users can focus on creating the text templates, while the automated content creation takes over all other tasks.
Compared to purely automated text generation, the approach offers several advantages:
- Inclusion of human users ensures more reliable results.
- Legally verifiable and verifiable statements in large quantities.
- High degree of flexibility as users can easily and effectively adapt the text templates at any time.
- Fast and efficient production of convincing texts in different languages.
- Integration with large language models such as GPT to accelerate content creation for text templates and text variants.
Overall, Human-in-the-Loop relieves human users in text automation from standard tasks and creates significantly more room for creative activities. In the setup phase, the desired text templates for content creation are set up once, while remaining flexibly adjustable. These data-based text templates define the content structure and a meaningful text structure. Here, relevant text variants for future formulations are specified for each data point to be texted. At the same time, conditions are set to consider context-sensitive rules for flawless output.
Applications of Human-in-the-Loop
Human-in-the-Loop is suitable for a wide range of applications where high-quality and content-correct texts are required. These include, among others:
- Product Descriptions: Target group-specific and search engine optimised product descriptions can be created in large quantities automatically.
- FAQs/HowTos: Automated generation of topic-specific FAQs and HowTos enables targeted answers to customer questions and achieves sustainable SEO effects.
- Meta Titles/Descriptions: SEO-relevant texts for product detail pages and beyond can be easily created and implemented.
- Rewriting: Can be used to make texts more understandable, appealing and SEO-friendly by transforming the content into another form without changing the meaning.
- Product comparisons: By highlighting product attributes, B2C and B2B contacts can be supported in decision making.
- Social Media Posts: Such posts are defined once as a text template in order to regularly provide relevant information through automated content creation.
- Ads: Text automation enables a fast and channel-specific creation of ads for various online platforms, such as Google, Bing or LinkedIn.
In all these applications, human users can directly intervene in the text templates to achieve top results and to flexibly align the output.
Conclusion
Human-in-the-Loop is a dynamic approach that improves the quality and efficiency of text automation. Overall, Human-in-the-Loop enables a creative and efficient use of text templates to provide content and legally flawless texts.
Sources:
https://en.wikipedia.org/wiki/Human-in-the-loop
https://arxiv.org/abs/2110.03569
https://www.forbes.com/sites/adrianbridgwater/2023/06/02/when-ai-needs-a-human-in-the-loop/