{"id":288627,"date":"2021-07-01T17:53:49","date_gmt":"2021-07-01T14:53:49","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/chatbot-can-explain-apps-and-how-they-access-hardware-or-data\/"},"modified":"2021-07-01T17:53:49","modified_gmt":"2021-07-01T14:53:49","slug":"chatbot-can-explain-apps-and-how-they-access-hardware-or-data","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/chatbot-can-explain-apps-and-how-they-access-hardware-or-data\/","title":{"rendered":"#Chatbot can explain apps and how they access hardware or data"},"content":{"rendered":"

“#Chatbot can explain app<\/a>s and how they access hardware or data<\/strong>”<\/p>\n

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\n Hey GUI is a chatbot that can be used to find images or textual information about apps and their user interfaces using natural language conversations. Credit: Aalto University
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Chatbots have already become a part of our everyday lives with their quick and intuitive way to complete tasks like scheduling and finding information using natural language conversations. Researchers at Aalto University have now harnessed the power of chatbots to help designers and developers develop new apps and allow end users to find information on the apps on their devices.<\/p>\n

The chatbot ‘Hey GU’, which will be presented at ACM Designing Interactive Systems 2021 on 1 July, can answer questions by showing images and screenshots of apps, or through simple text phrases.<\/p>\n

“Hey GUI eliminates the need for coding skills or technical expertise. Anyone can use it to search for information on, for example, which one of my apps is asking for permission to use the camera, or where is the search button on this screen,” says postdoctoral researcher Kashyap Todi of Aalto University.<\/p>\n

Important findings for chatbot developers and researchers<\/b><\/p>\n

Different kinds of applications and user interfaces contain vast amounts of information, which can be used for different needs and tasks. In their study, the researchers set out to find the most desirable chatbot features and how users would have conversations with them.<\/p>\n

Three target groups were considered in the experiment: designers, software developers, and general<\/a> users. Over 100 designers, developers, and ordinary users responded to the survey.<\/p>\n


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