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Motor vehicle crashes are the leading cause of death among 16- to 24-year-olds, whom the game targets.1Moreover, according to the American Automobile Association, 59% of all crashes among young drivers involve distractions within 6 seconds of the accident.2 We report on an assessment of drivers and pedestrians distracted by Pokémon GO and crashes potentially caused by Pokémon GO by mining social and news media reports.3
Twitter (https://twitter.com/) postings containing the terms “Pokémon” and “driving,” “drives,” “drive,” or “car” (N = 345 433) were obtained for July 10 through 19, 2016. A random sample of 4000 tweets was generated, and estimates from this sample were used to create population-level estimates. Each tweet was reviewed by 4 investigators (J.W.A., E.C.L., J.-P.A., and L.H.) and characterized as to whether (1) a driver was playing, (2) a passenger was playing, or (3) a pedestrian interacted with traffic while playing Pokémon GO. Tweets with driving and/or pedestrian safety messages were also noted. Interreliability on 100 tweets yielded a κ = 0.68.
Google News (https://news.google.com/) reports published from July 10 to 20, 2016, that included “Pokémon” and “driving” were obtained, yielding 321 story clusters. Reports of crashes caused by Pokémon GO were identified; duplicate coverage was eliminated.
All analyses relied on public, anonymized data and adhere to the terms and conditions, terms of use, and privacy policies of Google and Twitter, and were performed under an institutional board exemption from Johns Hopkins University. No exact news reports or tweets are included in this report.
Thirty-three percent (95% CI, 31%-34%) of tweets indicated that a driver, passenger, or pedestrian was distracted by Pokémon GO, suggesting there were 113 993 (95% CI, 107 084-117 447) total incidences reported on Twitter in just 10 days. In contrast, safety messages were less common (13%; 95% CI, 12%-16%). The remainder of postings (54%) were hypothetical, unclear, or unrelated (Figure).
Eighteen percent (95% CI, 17%-19%) of tweets indicated a person was playing and driving (“omg I’m catching Pokémon and driving”) and 11% (95% CI, 10%-11%) indicated a passenger was playing (“just made sis drive me around to find Pokémon”). Four percent (95%, CI, 3%-4%) indicated a pedestrian was distracted (“almost got hit by a car playing Pokémon GO”).
There were 14 unique crashes—1 player drove his car into a tree4—attributed to Pokémon GO in news reports during the same period.
Our findings can help develop strategies for game developers, legislators, and the public to limit the potential dangers of Pokémon GO and other augmented reality games. For instance, passengers using mobile devices are typically not considered a driving risk, but given its augmented reality features, gaming passengers may implore drivers to take risks to aid their play.
Pokémon GO’s makers can also voluntarily make their game safer. Game play is already restricted at speeds greater than 10 miles per hour. Making the game inaccessible for a period after any driving speed has been achieved may be necessary given our observations that players are driving or riding in cars. At the same time augmented reality games might be disabled near roadways or parking lots to protect pedestrians and drivers alike, given reports of distractions herein. Games might also include clear warnings about driving and pedestrian safety.
Traditional surveillance is needed to clarify our findings. Still, even with a limited scope covering just 10 days there were more than 110 000 discrete instances where drivers or pedestrians were distracted by Pokémon GO and some crashed. It is in the public interest to address augmented reality games before social norms develop that encourage unsafe practices. Now is the time to develop appropriate controls.
ARTICLE INFORMATION
Published Online: September 16, 2016. doi:10.1001/jamainternmed.2016.6274
Study concept and design: Ayers, Leas, Dredze, Allem, Hill.
Acquisition, analysis, or interpretation of data: All authors.
Drafting of the manuscript: All authors.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Ayers, Leas, Dredze, Allem.
Obtained funding: Hill.
Administrative, technical, or material support: Dredze, Grabowski.
Study supervision: Ayers, Dredze, Hill.
Conflict of Interest Disclosures: Drs Ayers and Dr Dredze and Mr Leas share an equity stake in Good Analytics, a social media monitoring company that uses some of the methods embodied in this work to support public health practice. Dr Dredze has also received consulting fees from Sickweather LLC, who use social media for infectious disease surveillance. Neither the data nor the methods described in this article are proprietary. Dr Grabowski is a paid employee of the AAA Foundation for Traffic Safety. No other disclosures are reported.
Funding/Support: The study was supported by funding from the National Highway Traffic Safety Administration through the California Office of Traffic Safety (Dr Hill).
Role of the Funder/Sponsor: The funders had no role in the design, conduct, or interpretation of the study; or the preparation, review, or approval of the manuscript.
Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the official views of their employers or the funders.
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