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Mobile Phone Movement Patterns Say a Lot about Your Personality Type

Previous studies have predicted personality types using phone calls and messaging activity logs, but this study showed adding accelerometer data improved accuracy

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Activity like how quickly or how far we walk, or when we pick up our phones during the night, often follows patterns and these patterns say a lot about our personality type. Pixabay

Mobile phone movement patterns say a lot about your personality type, say researchers who used data from phone accelerometers – the tiny sensors tracking phone movement for step-counting and other apps – to predict people’s personalities.

“Activity like how quickly or how far we walk, or when we pick up our phones during the night, often follows patterns and these patterns say a lot about our personality type,” said Flora Salim, Associate Professor at RMIT University in Australia in the study published in the journal IEEE Explore.

Previous studies have predicted personality types using phone calls and messaging activity logs, but this study showed adding accelerometer data improved accuracy.

Physical activity is proven to have a strong correlation with human personality. Therefore, researchers analysed physical activity features from different dimensions like dispersion, diversity, and regularity.

Mobile, Phone, Personality
Mobile phone movement patterns say a lot about your personality type, say researchers who used data from phone accelerometers – the tiny sensors tracking phone movement for step-counting. Pixabay

The results were analysed in accordance with the big five personality traits, which are — Extraversion: how energetic, sociable and talkative you are; Openness: how curious and inventive you are; Agreeableness: how friendly and compassionate, rather than suspicious and hostile you are to others; Conscientiousness: how organised, efficient and careful you are; and Neuroticism: how nervous and sensitive, rather than confident and secure you are.

According to the researchers, the key findings suggest that people with consistent movements on weekday evenings were generally more introverted while extroverts displayed more random patterns.

The findings also show that meeting with different people and taking up unplanned options, agreeable people had more random activity patterns and were busier on weekends and weekday evenings than others.

They also found that friendly and compassionate females made more outgoing calls than anyone else. Conscientious, organised people did not tend to contact the same person often in a short space of time.

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Sensitive or neurotic females often checked their phones or moved with their phones regularly well into the night and past midnight. Sensitive or neurotic males did the opposite, said the research.

According to the study, more inventive and curious people tend to make and receive fewer phone calls compared to others. (IANS)

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Mobile App Hosted on Google Cloud Platform Helping Small Farmers in India

To bridge this knowledge gap, Pune-based agritech startup AgroStar has a multi-lingual mobile app hosted on Google Cloud Platform (GCP)

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Mobile, Farmers, India
An even higher number, 74 per cent, lack access to farming-related information. Pixabay

Nearly 70 per cent of small farmers — those cultivating fewer than three acres — in India often find their crops damaged by unforeseen weather and pests. An even higher number, 74 per cent, lack access to farming-related information.

To bridge this knowledge gap, Pune-based agritech startup AgroStar has a multi-lingual mobile app hosted on Google Cloud Platform (GCP) that is helping boost crop yields and encourage sustainable practices for small farmers in the country.

Launched as an on-premise, e-commerce platform selling farm tools in 2008, the firm turned to Google Cloud Platform (GCP) to expand its offerings.

The firm now uses Cloud-based analytics and is deploying machine learning (ML) models to provide timely advice in five languages — from seed optimization, crop rotation and soil nutrition to pest control and commodity price forecasting to small farmers.

Mobile, Farmers, India
Nearly 70 per cent of small farmers — those cultivating fewer than three acres — in India often find their crops damaged by unforeseen weather and pests. Pixabay

“Moving to the Google Cloud Platform (GCP) reduced our time to deployment including migrations. Now, we are able to do all the deployment during the day on Kubernetes clusters provided by Google,” Pritesh Gudge, AgroStar, software engineer, told IANS.

The shift to Google Cloud helped the firm speed loan processing, detect crop disease and enhance supply-chain logistics.

AgroStar has reached over a million farmers through its Android app called “the AgroStar Agri-Doctor”. Farmers can also follow local and national market trends that help forecast crop prices.

“Operating in Gujarat, Maharashtra, Rajasthan, Odisha, Bihar and Karnataka, AgroStar is closing the knowledge gap with a full-service, cloud-based SaaS solution — the only one of its kind in the country,” informed Gudge.

Also Read- Indian GDP Slowdown Can be Reversed if Both Short-Term and Long-Term Reforms are Undertaken

“Today, just by clicking through our Android application, farmers learn about new, effective farming practices and receive advice customized to their crop and soil,” Gudge added.

AgroStar is also extending its analytics platform with AI-powered sales planning and forecasting.

Using linear regression models implemented in TensorFlow and powered by Cloud ML Engine, the capability will enhance supply chain logistics as the company scales its operations across India. (IANS)