AbstractAn eye-tracking experiment was conducted to examine whether differences in forecasters’ eye movements provide further insight into how radar update speed impacts their warning decision process. In doing so, this study also demonstrates the applications of a new research method for observing how National Weather Service forecasters distribute their attention across a radar display and warning interface. In addition to observing forecasters’ eye movements during this experiment, video data and retrospective recalls were collected. These qualitative data were used to provide an explanation for differences observed in forecasters’ eye movements. Eye movement differences were analyzed with respect to fixation measures (i.e., count and duration) and scanpath dimensions (i.e., vector, direction, length, position, and duration). These analyses were completed for four stages of the warning decision process: the first 5 min of the case, 2 min prior to warning decisions, the warning issuance process, and warning updates. While radar update speed did not impact forecasters’ fixation measures during these four stages, comparisons of scanpath dimensions revealed differences in their eye movements. Video footage and retrospective recall data illustrated how forecasters’ interactions with the radar display and warning interface, encounters with technological challenges, and varying approaches to similar tasks resulted in statistically significantly (p value < 0.05) lower scanpath similarity scores. The findings of this study support the combined use of eye-tracking and qualitative research methods for detecting and understanding individual differences in forecasters’ eye movements. Future applications of these methods in operational meteorology research have potential to aid usability studies and improve human–computer interactions for forecasters.
Weather and Forecasting – American Meteorological Society
Published: Apr 17, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera