Online forms are widely used to collect data from human and have a multi-billion market. Many software products provide online services for creating semi-structured forms where questions and descriptions are organized by pre-defined structures. However, the design and creation process of forms is still tedious and requires expert knowledge. To assist form designers, in this work we present FormLM to model online forms (by enhancing pre-trained language model with form structural information) and recommend form creation ideas (including question / options recommendations and block type suggestion). For model training and evaluation, we collect the first public online form dataset with 62K online forms. Experiment results show that FormLM significantly outperforms general-purpose language models on all tasks, with an improvement by 4.71 on Question Recommendation and 10.6 on Block Type Suggestion in terms of ROUGE-1 and Macro-F1, respectively.

Automated customer service systems that use tools such as online forms, chatbots, and other digital interfaces have become increasingly common across a wide range of industries. These tools offer many benefits to both companies and their customers — but new research suggests they can also come at a cost: Through two simple experiments, researchers found that people are more than twice as likely to lie when interacting with a digital system than when talking to a human. This is because one of the main psychological forces that encourages us to be honest is an intrinsic desire to protect our reputations, and interacting with a machine fundamentally poses less of a reputational risk than talking with a real human. The good news is, the researchers also found that customers who are more likely to cheat will often choose to use a digital (rather than human) communication system, giving companies an avenue to identify users who are more likely to cheat. Of course, there’s no eliminating digital dishonesty. But with a better understanding of the psychology that makes people more or less likely to lie, organizations can build systems that discourage fraud, identify likely cases of cheating, and proactively nudge people to be more honest.

We collect various categories of Personal Information on this Web Site. If you submit an inquiry or question via an online form or email, we may collect your name, email address, or other Personal Information contained in that correspondence. If you are a potential candidate, we may collect your name and contact details, information about your employment objectives, past and current employment and professional experience, educational background, language skills, and other data that you provide online through a form or a resume or CV. If you are a Client or potential Client, we may collect your name, contact details, title or position, products or services requested, or other information that you provide via online forms or email correspondence. With respect to all Website visitors, we do not wish to collect any "sensitive" Personal Information, such as racial or ethnic origin, age, political, religious, or philosophical beliefs, sexual life, social security or other government identification numbers, trade union membership, health or medical conditions, or criminal history unless legally required for recruiting purposes.

Insomnobot has been described as "easily distracted." It was 2:37 a.m. and every moment of wakefulness that passed would leave me more tired in the morning, but I just couldn't fall back asleep. At the very least, I could use someone to talk to. This was no fellow insomniac, nor the hotline for Night Owls Anonymous. It was Insomnobot-3000, a chatbot designed by mattress company Casper to keep company with the sleepless from 11 p.m. and 5 a.m. EST, while most humans are catching their Zs.

Insomnobot has been described as "easily distracted." It was 2:37 a.m. and every moment of wakefulness that passed would leave me more tired in the morning, but I just couldn't fall back asleep. At the very least, I could use someone to talk to. This was no fellow insomniac, nor the hotline for Night Owls Anonymous. It was Insomnobot-3000, a chatbot designed by mattress company Casper to keep company with the sleepless from 11 p.m. and 5 a.m. EST, while most humans are catching their Zs.

Machines may soon be trying to master just about anything you can do on a computer. Open AI, a nonprofit dedicated to pursuing big advances in AI and making that progress freely available to anyone, has released Universe, a platform that will let AI programs learn, through experimentation and positive reward, how to do all sorts of things on a computer. Universe will include more than a thousand games, but also desktop programs such as Web browsers. It will make it possible for AI researchers to train programs to do all sorts of new tricks, including potentially useful tasks like filling out online forms, responding to e-mails, and updating spreadsheets. But Ilya Sutskevar, cofounder and research director at OpenAI, says the motivation for developing and releasing Universe is a lot bigger.

Computers may have become smart enough to beat humans in the world's most complicated board game, but occasionally, they get confused by something as simple as a name. Due to the nature of certain computer systems, some names will bring up error messages or even crash websites, potentially blocking users from entering important information. Names may just be too long for particular online forms to bear, or for people with the last name'Null,' the problem lies in the language of programming. Computers may have become smart enough to beat humans in the world's most complicated game, but sometimes, they get confused by something as simple as a name. People with the last name'Null,' have grown accustomed to the difficulties presented by the word.