Research
Reading and displays
Readability
Does the best format for text differ from reader to reader? Online studies with hundreds of adults found that it does: the font a person reads fastest varies, and the right one can speed reading without costing comprehension. Later studies built ways to test text format online and to recommend a font, and asked whether letter and word spacing matter too, and whether the gains hold for children, for health records and for arithmetic. Recent work turns to font weight, grade and x-height, in Arabic as well as English. The newest asks how visual span, the number of letters taken in at one glance, relates to reading speed in dyslexia, and how to measure it online.
Selected papers
- 2026Linking visual span and reading speed in dyslexiaJournal of Vision, in press
- 2026When light is too light: Font weight in Arabic for global interface designApplied Vision Science Conference, poster
- 2022 · most citedTowards individuated reading experiences: Different fonts increase reading speed for different individualsACM Transactions on Computer-Human Interaction
The Readability Consortium
This work runs largely through The Readability Consortium, which brings together industry, nonprofit and university researchers, guided by a board of industry and nonprofit members.
- Director
- Ben D. Sawyer, PhD
- Associate director
- Stephanie Day, PhD
- Since
- 2020
- Home
- UCF Research Foundation, run within Sawyer Laboratory
In a large online study, readers read 35% faster in their fastest font than in their slowest.
Wallace et al., 2022
Transportation
What does a driver lose by looking away from the road, and what can design give back? Studies measured the cost of texting by hand, with assisted entry and on a head-worn display, of entering a destination into a navigation system and of taking a breath test for an ignition interlock while driving, and how a voice interface changes mirror checks in older and younger drivers. Others asked what mental load does to memory of a scene and to spotting brake lights, how trust in technology shapes where drivers glance, and whether rare hazards are missed more often on the road, which they were not. Typography studies asked which typefaces can be read in a single glance on in-vehicle displays, and a theory paper set out how drivers take in visual information. Earlier work linked driving simulators into one network to test vehicle-to-vehicle systems.
Selected papers
- 2022 · most citedToward a theory of visual information acquisition in drivingHuman Factors
- 2020Driving hazard detection on the road does not reveal the prevalence effectJournal of Vision, conference abstract
- 2020Glanceable, legible typography over complex backgroundsErgonomics
Mixed reality
Do virtual, augmented and mixed reality train people better than traditional methods? A meta-analysis of the published studies found them equally effective, which makes them most useful where danger or cost rules out training the usual way. A study with Air Force Academy cadets asked whether a mixed-reality headset or a tablet better supports multi-domain military planning: the headset added no situation awareness, and the tablet was rated more usable. An earlier virtual-reality study asked how the arrangement of objects in a space creates a sense of familiarity, and how that relates to déjà vu.
Selected papers
- 2022Evaluating mixed reality and tablet technologies in military planningSystems and Information Engineering Design Symposium
- 2021 · most citedThe effects of virtual reality, augmented reality, and mixed reality as training enhancement methods: A meta-analysisHuman Factors
- 2012Familiarity from the configuration of objects in 3-dimensional space and its relation to déjà vu: A virtual reality investigationConsciousness and Cognition
Minds and machines
Human–AI interaction
Can large language models write classroom texts that students read as well as texts written by people, and simplify a text to a student’s level without losing key details? Studies compared the readability of AI-written and human-written educational content, and tested ways to make AI simplification more accurate and consistent. Other work asks how automation, autonomy and AI should be designed around the people who use them, and how social robots can handle conflict with people constructively. A 2025 paper asks how AI replicas of sex workers, a kind of human digital twin, can protect the workers’ intellectual property rather than erode it.
Selected papers
- 2025Evaluating GenAI for simplifying texts for education: Improving accuracy and consistency for enhanced readabilityarXiv preprint
- 2025Sex worker human digital twins and intellectual property: On collaborative futures for sex thinkers, technologists and artistsPorn Studies
- 2024 · most citedHumanizing AI in education: A readability comparison of LLM and human-created educational contentProceedings of the HFES Annual Meeting
Cognitive security
Why do people miss the attacks that matter most? Cyber vigilance studies found that threat detection declined over time, rose with the probability of an attack and fell as events came faster, under high workload. In a simulated email workplace, attacks sent at a rate of 1% were significantly more likely to succeed than more frequent ones: a prevalence paradox, since automation that makes attacks rarer can make people worse at catching the rest. Related studies measured how training changes phishing detection and the stress and workload of network analysis. Later work built a testbed for online influence operations and maps the ways human cognition is attacked, and the defenses it needs.
Selected papers
- 2026Cognitive hacking: Cognitive attack vectors and necessary cognitive securityThe Palgrave Encyclopedia of Cyberpsychology, in press
- 2020Understanding online information operations: Development of an influence network for scientific inquiry testingIEEE International Conference on Big Data
- 2018 · most citedHacking the human: The prevalence paradox in cybersecurityHuman Factors
This work is shared with the Cognitive Security Institute, a separate organization whose board Ben D. Sawyer chairs.
Applied neuroscience
Can the brain’s response to a mistake be detected outside the laboratory, with a single electrode? Studies found the error-related negativity in EEG while people searched complex images, and compared ways of cleaning such data. Others asked whether electrodermal potential tracks a driver’s attention, whether tiny eye movements called microsaccades distinguish looking from seeing, and, with EEG, how anger raises risk-taking when a driver decides whether to cross on a yellow light. The most recent work decoded task fMRI data with graph neural networks, taking individual differences into account.
Selected papers
- 2022Decoding task-based fMRI data with graph neural networks, considering individual differencesBrain Sciences
- 2019 · most citedAngry drivers take risky decisions: Evidence from neurophysiological assessmentInternational Journal of Environmental Research and Public Health
- 2019Microsaccades distinguish looking from seeingJournal of Eye Movement Research
Tools
All publications →- 2020–2024Virtual Readability LabOnline reading tests, including a five-minute test that finds the font you read fastest. Its code is open source under the Apache 2.0 license.Code on GitHub
- CodeSawyer Laboratory on GitHubThe lab’s public repositories.
- Dataset, 2019Subtask dataset with glancesDrivers using production-vehicle interfaces on open roads, broken into subtasks, with glance data.