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Participants Needed for Study of Usability of Different SQL Generation Tools

Dear all,

 

We are embarking on a user study to evaluate the usability of different SQL generation tools.

 

Relational databases are playing an essential role in this Big Data era. However, it is challenging for non-experts to fully unleash the analytics power of relational databases, since they are unfamiliar with these underlying programming languages such as SQL. Recent advances in AI enable such users to generate SQL from natural language automatically. While different SQL generation tools have been proposed, the usability of these tools in practice is still unclear. Therefore, we design this user study aiming to investigate the accuracy and usability of different SQL generation tools in practice.

 

In this user study, you will experience 3 different tools that allow you interactively query data from databases. We are looking for participants who don’t know SQL and also participants who are familiar with SQL to evaluate the influence of SQL expertise on these tools. We aim to recruit 12 participants in this round.

 

The study will take about 75 minutes and you will receive a $25 amazon gift card as compensation for your time.

 

Purdue IRB has approved this study. The official study title is “Evaluating the usability of different SQL generation tools”, and the IRB protocol number is IRB-2022-1114.

 

--Eligibility--

You need to be fluent in English and over 18 years of age. We will ask a few questions about your programming experience, in order for us to invite a balanced pool of participants into our study. If you are selected, we will reach out to schedule a study.

 

--PI information--

Tianyi Zhang, tianyi@purdue.edu, 7654947823, Lawson 3154H, 305 N University St, West Lafayette, IN 47907.

 

If you are interested, please fill out the linked background survey https://purdue.ca1.qualtrics.com/jfe/form/SV_dp17ZHpLiiCQmyy

 

Please feel free to ask any questions through email (tian211@purdue.edu).

Last Updated: Jan 18, 2023 9:37 AM

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