Woman Interrupted

An app that measure how often a woman is interrupted

Reviews

 

Discussion

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Ryan HooverHunterPro@rrhoover · Founder, Product Hunt
Launch today on International Women's Day, this app uses your phone's microphone to identify when a man interrupts a women. Of course men can use this too, to identify when they (or other men nearby) interject. I'm curious how well this works. Someone please download and report results. 🙏🏼
João Henrique ReichertMaker@joao_henrique_reichert · iOS Developer at Brave
Hi Product Hunt! Firstly, thanks to @rrhoover for hunting us. Woman Interrupted is a project by BETC São Paulo, and powered by Brave João Reichert (it’s me!) and Matheus Weber are the iOS Developers behind the project I’ll explain a little about it and how it works. The objective of the Woman Interrupted App is to generate awareness and more debate around Manterrupting. The innovation also aims to raise awareness in the male audience, who often does not recognize their behavior. In 2014, a study by researchers at the George Washington University (USA), published in the Journal of Language and Social Psychology, pointed out that women are significantly more interrupted than men. This phenomenon is interpreted as one of the demonstrations of gender inequality. To identify the interruptions more accurately, the platform asks the users to record and calibrate their voice. The app uses the phone’s microphone to analyze conversations and detect the number of interruptions during the time it is activated. With the user’s voice as a parameter and the difference in the frequency of male and female voice, its technology allows it to identify in which moments the user was interrupted by a man or, in the case of a male user, how many times he interrupted a woman. Woman Interrupted analyses the sound in real time and turns interruptions directly into data. No conversations gets registered in the application, only the number of interruptions, duration and date. In the analysis, we use the recorded frequency of the woman during the calibration, and the algorithm analyzes in real time all the frequencies captured by the microphone, the algorithm has several steps and after completing the analysis it is possible to say how many times a woman has been interrupted. We’d love to hear your comments and feedback!
Benjamin Lupton@balupton · Founder, Bevry
Can we get one to track it / market it for men too? Because obnoxiousness isn't something that exclusively affects female subjects. Providing resources to assertiveness training could go a long way to solving the temperamental aspect of this. Certain personality traits such as agreeableness find assertiveness quite morally difficult as they consider it conflict which they tend to avoid, so when extroverted and disagreeable types interrupt an agreeable person, that person may retreat into introversion to satisfy their conflict avoidance preference. Sensitivity training may also be valuable to those with a disagreeable temperament. Having temperaments in cooperative collaborative environments (such as business) understand and appreciate the different temperaments so they can better accomodate it for better cooperation, seems a great way forward as it provides a balanced approach to the problem while respecting the necessity for all the different temperaments and their roles. Just calling out one side of the temperamental battle seems to tread into unnecessary shame games - and would hardly work in cooperative competitive industries like Wall Street as sensitivity is not how they win. Some resources on this: - https://en.wikipedia.org/wiki/As... - https://en.wikipedia.org/wiki/Bi...
Avi Zuber@avizuber · Product Designer @ Eved
I'mma let you finish, but.... do users have to manually track interruptions? And if it's recording in the background, it sounds like a battery suck. I do agree that there are issues related to sexism that need to be solved.
Julie Delanoy@syswarren · Design at Product Hunt
@avizuber Take a look at the screenshots. It shows that it's not a background activity (you have to activate the "recording" for it to start) Then it analyses the conversation and counts when a voice that isn't yours (voice recognition during the onboarding of the app) interrupts you.
Avi Zuber@avizuber · Product Designer @ Eved
@joao_henrique_reichert @syswarren Good call. I had only watched the video, which shows a user opening the app and the recording starting right away.
Archie Hicklin@suparchie · 📬 mailroom.press 🎨 archiehickl.in
@joao_henrique_reichert App looks beautiful and the landing page is superb. Wonderfully designed. 🎉 Seen in the FAQ that the core functionality of the app is based on the frequency of voice. I have a couple of questions: Firstly, how does it account for trans people? If someone has a lower frequency voice but identifies as female then doesn't this make the whole space even more partisan (having trans people misgendered by an app)? On that same note, how does it account for women with low-frequency voices or men with relatively high-frequency voices? Secondly, I understand conceptually that the idea is to take everyday anecdotes and turn them into hard data to raise awareness (I think you've done a wonderful job at approaching this problem 💯), but by removing the tracking of 'women' interrupting 'men' then what does this prove? If it proves that men interrupt women then it's just proving something we already know. What is it measured against? Would love to see the app track both genders interruptions so the app can display more interesting data (ie. women were interrupted X% more than men were by women). I see in the FAQ that there are no plans to add this functionality and I'm curious as to why? On your landing page, you quote a bunch of compelling studies that make this exact comparison (which I found extremely powerful!).