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Related Concept Videos

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
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The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...

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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
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The Mobile Phone Affinity Scale: Enhancement and Refinement.

Beth C Bock1,2,3, Ryan Lantini1, Herpreet Thind4

  • 1Centers for Behavioral and Preventive Medicine, The Miriam Hospital, Providence, RI, United States.

JMIR Mhealth and Uhealth
|December 17, 2016
PubMed
Summary
This summary is machine-generated.

The Mobile Phone Affinity Scale was developed to provide a balanced assessment of mobile phone use, moving beyond negative constructs like addiction. This new scale measures six key factors, offering a more comprehensive understanding of user relationships with mobile technology.

Keywords:
assessmentmeasuremobile phonepsychometrics

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Area of Science:

  • Psychology
  • Human-Computer Interaction
  • Digital Health

Background:

  • Existing mobile phone use assessments often focus on negative aspects like addiction or dependence.
  • There's a need for a balanced instrument to evaluate both beneficial and detrimental mobile phone use.
  • Mobile phones offer benefits in health, productivity, and social connection, necessitating a nuanced evaluation.

Purpose of the Study:

  • To develop, revise, and validate the Mobile Phone Affinity Scale (MPAS).
  • To create a multi-scale instrument assessing key factors of mobile phone use.
  • To offer a more comprehensive understanding of the human-mobile phone relationship.

Main Methods:

  • Recruited 1058 participants via Amazon Mechanical Turk.
  • Administered a survey assessing mobile phone attitudes, use, mental health symptoms, and resilience.
  • Utilized confirmatory factor analysis for scale validation.

Main Results:

  • A 6-factor model was supported by confirmatory factor analysis.
  • The final Mobile Phone Affinity Scale (MPAS) has 24 items across six factors: Connectedness, Productivity, Empowerment, Anxious Attachment, Addiction, and Continuous Use.
  • Subscales demonstrated strong internal consistency (Cronbach alpha range=0.76-0.88) and validity.

Conclusions:

  • Mobile phone affinity is a significant factor in mobile health (mHealth) interventions.
  • Further research is needed to explore the predictive validity of mobile phone affinity in health behavior change.
  • The MPAS can inform the design and effectiveness of mHealth interventions.