Authors:
Mario Romero
This blog post started as a response to the column What Are You Reading? in Interactions. While there are a number of books I wanted to discuss, the topic made me reflect on how I read. My reading mechanisms have evolved from working with blind people. I continue to read novels mostly with my eyes—but for research papers, I use my ears.
For many years now, I have mainly read thesis drafts. In my role as supervisor and thesis examiner, I read approximately 30 master's theses and five Ph.D. theses annually. I know what you may be thinking—yes, I actually read and review them. Furthermore, as a paper reviewer, I read approximately six papers every year. At an average of 10,000 words per master's thesis, 30,000 per Ph.D. thesis, and 7,000 per paper, that is about half a million words, or a paperback novel of roughly 1,700 pages.
Now, mind you, I am a slow reader, even when the text is clear. Most of the theses I read are drafts that typically require several rounds of careful reading and editing. If the text is clear, I can read about 250 words per minute (wpm). At that rate, it takes me about 70 hours to do one pass through my annual review material.
My goal here is to share my experience in switching from reading with my eyes to reading with my ears, and from editing with my fingers to editing with my voice. This switch has meant not just a significant boost to my throughput, but also an improvement in my focus and comprehension; it has allowed me to work in many more contexts. Paradoxically, perhaps the greatest benefit for me has been the ability to stay focused on the reading material while performing other physical activities, such as walking home from work. This blog post outlines the methods that I have developed over the years and weighs their pros and cons.
I begin with a short story. A few years ago, I ran a stop sign at the Georgia Tech campus—a policeman stopped me and wrote me a summons. In court, I had the option to pay a $100 fine or perform community service. As a graduate student, I chose service. I signed up to volunteer at the Center for the Visually Impaired in Atlanta. During my week of service, I observed two blind teenagers in class not paying attention to their teacher. Rather, they were having fun with a mysterious device. It had a shoulder strap, and it rested on the girl's hip. She pressed combinations of six buttons and ran her index finger across a stripe at the bottom. She giggled and shared the experience with her friend, who also giggled as he ran his fingers across the device. I was bedazzled. What was producing this strong emotional response?
I discovered they were using a portable braille notetaker, which includes a six-key chorded keyboard and a refreshable braille display, the stripe they were reading with their fingertips. After that encounter, my colleagues and I started researching how blind people enter and read text on mobile devices. We discovered that the device the teens were using was called a BrailleNote. It cost a hefty $6,000.
We also determined that smartphones were, ironically, a much cheaper alternative. Although smartphones do not have braille displays, they can use voice synthesis to read out screen content. The user places a finger on the screen and the reader voices the target, an efficient method of reading out information. Unfortunately, inputting text is not as simple. While many users speak to their phones using speech-recognition technology, they cannot do so under many conditions, particularly in public environments where privacy concerns and ambient noise render the task impractical. In our research, we developed a two-hand method for entering text using braille code called BrailleTouch [1]. Apple's iOS has since incorporated a similar method of text input.
What we did not expect to discover was the extraordinary ability of people with experience using screen readers to listen to text at tremendous speeds. We observed participants using screen readers at speeds so high, we ourselves could not comprehend anything whatsoever. Participants reassured us they understood, and that it was a skill they'd acquired through simple practice—nothing superhuman about it.
That realization sent me down the path of using my hearing for reading. I started slow, first learning to enable the accessibility apps on my iPhone. Then I learned to control the speed. I started at about 50 percent, or 250 wpm. I could understand at that rate, which happened to be my eye-reading rate. I downloaded PDF versions of my students' theses into my phone and tablet and read using VoiceOver [2]. Unfortunately it did not work as well as I expected. The reader did not flow on its own, stopping over links, paragraphs, and pages. I had to push it along by swiping.
After some research, I discovered an app called vBookz PDF Voice Reader. I uploaded my students' theses in PDF format and started to speed things along. A few months later, I was reading at 400 wpm. The app also shows a visual marker of where you are on the text, so you can follow it with your eyes. About a year in, I was reading at full speed, 500 wpm with full comprehension. More important, I no longer had to follow with my eyes. I could, for example, walk during reading and see where I was going and remain fully focused on the text. Today there are myriad text-to-speech reading apps and I encourage you to explore them to find the one that best suits you.
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A typical portable braille writer and reader, the Freedom Scientific PACmate, which we employed in our user studies. Note the buttons on top allow for chorded input, and the pins at the bottom push up and down for a dynamic "refreshable" braille text output. |
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A participant in our study using BrailleTouch. |
This newfound ability has meant a dramatic change in my reviewing practices. Yet it is not the whole picture. There are more practices I have explored, and there are important limitations as well. I started dictating feedback on my phone. I stopped typing and started using Siri to provide comments and corrections. The upside is that I can continue to stay focused on both reading and writing while remaining physically active. The downside is that I need to verbally state the context of the feedback, as in "paragraph 3, sentence 2." Nevertheless, I find it liberating and efficient.
What are these other important limitations? First, the text-to-speech reader voices everything: page numbers, URLs, footnotes, image names, citations. It even states "bullet point" for the dot initiating bullet points. Most of these landmarks are distracting, and I now know to disregard them when reading with my eyes. Second, tables and graphs are a nightmare to read with my ears. I have to stop the reader and use my eyes when I reach text with a nonlinear structure. Third, figures are legible only as far as their meta-description allows it, and even in that case it is better to use my eyes. Fourth, and last, I have to use headphones. Otherwise, the echo from the device's speakers coupled with ambient noise renders high-speed reading impossible for me.
Despite these limitations, which are current research topics in eyes-free reading, I find myself fortunate enough to have recruited participants who had the generosity and sense of pride to share their expertise. I am a better research supervisor for that. Yet, for all the boost in speed and comprehension I get from ear reading, I still enjoy reading novels with my eyes and listening to audiobooks read by human actors at normal speed. My mind's voice and that of other humans remains my preferred method for pleasure reading. Perhaps in a few years, voice synthesizers will become so human that they pass this version of the Turing test.
References
1. Southern, C., Clawson, J., Frey, B., Abowd, G., and Romero, M. An evaluation of BrailleTouch: Mobile touchscreen text entry for the visually impaired. Proc. of the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services. ACM, 2012, 317–326.
2. https://help.apple.com/voiceover/info/guide/10.12/
Author
Mario Romero studies immersive visualization environments and how people use them. [email protected]
Copyright held by author
The Digital Library is published by the Association for Computing Machinery. Copyright © 2018 ACM, Inc.
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