{"id":17333,"date":"2024-06-07T11:18:21","date_gmt":"2024-06-07T10:18:21","guid":{"rendered":"https:\/\/uxstudioteam.com\/ux-blog\/?p=17333"},"modified":"2024-06-17T14:12:53","modified_gmt":"2024-06-17T13:12:53","slug":"people-trust-ai","status":"publish","type":"post","link":"https:\/\/timemachine.uxstudioteam.com\/ux-blog\/people-trust-ai\/","title":{"rendered":"How far do people trust AI? – A Research project from UX Studio"},"content":{"rendered":"

Our company specialises in digital products, so it\u2019s crucial for us to get a better understanding of people’s thoughts and attitudes towards AI and existing AI tools. One of our main interests was to see how much people trust them. Thus we decided to do research on the topic.<\/b><\/p>\n

<\/p>\n

\"Trust<\/p>\n

We designed quantitative research to get an overview. In this post, we will introduce our research process, and give a sneak peek at our top 3 findings. You can also check out the <\/span>detailed results<\/span><\/a> with all the graphs and findings.\u00a0<\/span><\/p>\n

\"\"<\/a><\/p>\n

Why we ran this study<\/b><\/h2>\n

UX studio is delving into the research on the topic of AI. We collected the<\/span><\/p>\n

best AI tools for design and research<\/span><\/a>, and we also reviewed the current obstacles of different AI research tools and collected <\/span>insights and recommendations<\/span><\/a> about them. Moreover, we started to think about <\/span>how to handle prompting challenges with AI writing tools.<\/span><\/a>\u00a0<\/span><\/p>\n

As researchers, we’re fascinated by human behaviour, especially when it comes to new technologies like AI. By studying how people interact with it and how much they trust it, we can learn a lot about their thinking and behaviour. Understanding current usage patterns also helps us predict how AI tools should be designed to align with users’ expectations in the future.<\/span><\/p>\n

Our specific interest regarding trust and AI<\/b><\/h3>\n

We opted for a quantitative research approach and chose a survey, since we wanted to examine general attitudes, and needed a large sample size for that. Utilizing a survey, we hoped to identify patterns and trends that would provide valuable insights into the broader landscape of attitudes toward AI tools.<\/span><\/p>\n

Sneak peek at our findings<\/b><\/h2>\n

In the end, 169 participants filled out our survey, and we could reach a wide age range from 9 different European countries.\u00a0<\/span><\/p>\n

Our top 3 interesting findings were: <\/span><\/h3>\n

People in general trust the concept of AI, but different factors can affect the level of trust.<\/p>\n

\"General<\/p>\n

The most popular tool to try is ChatGPT.<\/p>\n

\"ChatGpt<\/p>\n

People\u2019s biggest expectation of AI tools is to save time.<\/p>\n

\"Expectations<\/p>\n

To see the full, detailed results, click here<\/a>!<\/p>\n

How did we conducted our research?<\/b><\/h2>\n

1. First we defined the general research questions<\/span><\/h3>\n

When we started the project, our baseline questions were:\u00a0<\/span><\/p>\n