2021 Summer Undergraduate Research Program (SURP) Symposium

Location

Ballroom, Maucker Student Union, University of Northern Iowa

Presentation Type

Open Access Poster Presentation

Document Type

poster

Keywords

Social status; Smartphones--Social aspects;

Abstract

We are still recovering from the pandemic’s psychological effects and figuring out how to break out of our quarantine. Students may not realize they have antisocial behaviors that have a negative affect on students’ grades. Our smartphones are packed with sensors that can help us to passively detect social status of a subject and propose prospective remedies. Our hypothesis is that you are social when co-doing certain activities like walking and talking. Thus, we begin with detecting activities such as, walking, sitting, and cooking using the movement sensors accelerometer and gyroscope; then, we detect proximity with another person using the communication sensors WiFi and Bluetooth and lastly, we detect the conversation using sound sensor microphone As part of future work, we would conduct a large-scale data collection with college students and formulate a metric to measure the sociability score.

Start Date

30-7-2021 11:30 AM

End Date

30-7-2021 1:15 PM

Event Host

Summer Undergraduate Research Program, University of Northern Iowa

Faculty Advisor

Dheryta Jaisinghani

Faculty Advisor

Sarah Diesburg

Department

Department of Computer Science

File Format

application/pdf

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Jul 30th, 11:30 AM Jul 30th, 1:15 PM

SocioApp: Detecting Your Sociability Status with Your Smartphone

Ballroom, Maucker Student Union, University of Northern Iowa

We are still recovering from the pandemic’s psychological effects and figuring out how to break out of our quarantine. Students may not realize they have antisocial behaviors that have a negative affect on students’ grades. Our smartphones are packed with sensors that can help us to passively detect social status of a subject and propose prospective remedies. Our hypothesis is that you are social when co-doing certain activities like walking and talking. Thus, we begin with detecting activities such as, walking, sitting, and cooking using the movement sensors accelerometer and gyroscope; then, we detect proximity with another person using the communication sensors WiFi and Bluetooth and lastly, we detect the conversation using sound sensor microphone As part of future work, we would conduct a large-scale data collection with college students and formulate a metric to measure the sociability score.