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Blind Procedures

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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...

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Related Experiment Video

Updated: Jul 31, 2025

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

A Standardized Obstacle Course for Assessment of Visual Function in Ultra Low Vision and Artificial Vision

Published on: February 11, 2014

Personal Health Data Tracking by Blind and Low-Vision People: Survey Study.

Jarrett G W Lee¹, Kyungyeon Lee², Bongshin Lee³

¹College of Information Studies, University of Maryland, College Park, MD, United States.

Journal of Medical Internet Research

|May 4, 2023

Summary

Blind and low-vision (BLV) individuals desire to track personal health data (PHD) but face significant accessibility barriers with current technologies. Addressing these challenges is crucial for equitable access to health management tools.

Keywords:

blind and low vision consumer health information mobile phone personal health data self-tracking survey

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

Area of Science:

Health Informatics
Human-Computer Interaction
Assistive Technology

Background:

Personal health technologies offer significant potential for health management.
Current technologies are largely inaccessible to the blind and low-vision (BLV) population.
This inaccessibility threatens equitable access to personal health data (PHD) and healthcare services.

Purpose of the Study:

To investigate the motivations, practices, and obstacles BLV individuals encounter when collecting and using PHD.
To inform accessibility researchers and technology developers about the specific needs and challenges of BLV people in self-tracking.

Main Methods:

A web-based and phone survey was conducted with 156 BLV participants.
Quantitative and qualitative data were collected on PHD tracking practices, needs, barriers, and work-arounds.

Main Results:

BLV respondents expressed strong needs and desires for tracking PHD, similar to sighted individuals.
Participants encountered numerous accessibility challenges across all self-tracking phases, from tool selection to data review.
Key barriers included suboptimal user experiences and a disproportionate burden relative to benefits.

Conclusions:

Accessibility challenges significantly impede BLV individuals from benefiting from self-tracking technologies.
Findings highlight critical areas for design improvements and future research to enhance technology accessibility for BLV populations.
Ensuring equitable access to PHD tracking technologies is essential for all individuals, including those with visual impairments.