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Related Concept Videos

Longitudinal Studies01:26

Longitudinal Studies

139
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
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Longitudinal Research02:20

Longitudinal Research

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Naturalistic Observations02:30

Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Observational Studies01:11

Observational Studies

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
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Lessons From 3 Longitudinal Sensor-Based Human Behavior Assessment Field Studies and an Approach to Support

Johanna Kallio1, Atte Kinnula1, Satu-Marja Mäkelä1

  • 1VTT Technical Research Centre of Finland Ltd, Oulu, Finland.

Journal of Medical Internet Research
|October 31, 2024
PubMed
Summary

Conducting longitudinal field studies with pervasive technology requires careful planning. Key lessons involve managing stakeholders, participant engagement, and data quality for successful real-world human behavior research.

Keywords:
behavioral researchfield trialmachine learningmobile phonepervasive technologyqualitative codingsensor datastakeholder engagement

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Area of Science:

  • Human-Computer Interaction
  • Behavioral Science
  • Wearable Technology Research

Background:

  • Pervasive technologies offer real-world insights into human behavior but face challenges in longitudinal field trials.
  • Low recruitment and high dropout rates, coupled with data quality issues, hinder naturalistic studies.

Purpose of the Study:

  • To identify and categorize challenges in real-world longitudinal field studies using pervasive technology.
  • To derive lessons and recommendations for successful study design and execution involving human participants and technology in natural settings.

Main Methods:

  • A qualitative coding framework was developed to analyze challenges in influential factor identification, stakeholder management, and data handling.
  • Three longitudinal field studies (2018-2022) involving sensor data collection on human behavior were analyzed using inductive reasoning.
  • A stakeholder identification method was extended to evaluate the influence of various groups on field trial success.

Main Results:

  • Seventeen key lessons were identified for planning, implementing, and managing sensor-based longitudinal studies on human behavior.
  • Recognizing and engaging diverse stakeholder groups, including indirectly impacted parties, is crucial for study success.
  • Customized communication, dropout planning, participant incentives, field testing, and quality assurance tools are vital for successful outcomes.

Conclusions:

  • Field trials necessitate proactive stakeholder expectation management and continuous communication.
  • A structured framework can enhance the robustness and comparability of future pervasive technology studies.
  • Proactive challenge management is essential for successful longitudinal field trials and advancing technology-based behavioral solutions.