Evidence map›Paper›PMID 30840509›Full record

ArticleAstrobiology2019

Opportunities and Challenges of Promoting Scientific Dialog throughout Execution of Future Science-Driven Extravehicular Activity.

Shannon E Kobs Nawotniak, Matthew J Miller, Adam H Stevens, Jessica J Marquez, Samuel J Payler, Allyson L Brady, Scott S Hughes, Christopher W Haberle, Alexander Sehlke, Kara H Beaton and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Astrobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
19.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 3 countries.

Shannon E Kobs Nawotniak1 Department of Geosciences, Idaho State University, Pocatello, Idaho, USA.
Matthew J Miller2 Jacobs/NASA Johnson Space Center, Houston, Texas, USA.
Adam H Stevens3 UK Centre for Astrobiology, School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
Jessica J Marquez4 NASA Ames Research Center, Moffett Field, California, USA.
Samuel J Payler3 UK Centre for Astrobiology, School of Physics and Astronomy, University of Edinburgh, Edinburgh, UK.
Allyson L Brady5 School of Geography and Earth Sciences, McMaster University, Hamilton, Canada.
Scott S Hughes1 Department of Geosciences, Idaho State University, Pocatello, Idaho, USA.
Christopher W Haberle6 Mars Space Flight Facility, School of Earth and Space Exploration, Arizona State University, Tempe, Arizona, USA.
Alexander Sehlke4 NASA Ames Research Center, Moffett Field, California, USA.
Kara H Beaton7 Biomedical Research and Environmental Science Division (SK), NASA Johnson Space Center, Houston, USA.
Steven P Chappell7 Biomedical Research and Environmental Science Division (SK), NASA Johnson Space Center, Houston, USA.
Richard C Elphic4 NASA Ames Research Center, Moffett Field, California, USA.
Darlene S S Lim4 NASA Ames Research Center, Moffett Field, California, USA.
Ames Research Center · USJohnson Space Center · USIdaho State University · USUniversity of Edinburgh · GBArizona State University · USMcMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Science-driven, human spaceflight missions of the future will rely on regular and interactive communication between Earth- and space-based teams during activity in which astronauts work directly on Mars or other planetary surfaces (extravehicular activity, EVA). The Biologic Analog Science Associated with Lava Terrains (BASALT) project conducted simulated human missions to Mars, complete with realistic one-way light time (OWLT) communication latency. We discuss the modes of communication used by the Mars- and Earth-based teams, including text, audio, video, and still imagery. Real-time communication between astronauts in the field (extravehicular, EV) and astronauts in a communication relay station (intravehicular, IV) was broadcast over OWLT, providing important contextual information to the Science Backroom Team (SBT) in Mission Control. Collaborative communication between the Earth- and Mars-based teams, however, requires active communication across latency via the Mission Log. We provide descriptive statistics of text communication between IV and SBT in a high-fidelity, scientifically driven analog for human space exploration. Over an EVA, the SBT sent an average of ∼23 text messages containing recommendations, requests, and answers to questions, while the science-focused IV crew member (IV2) sent an average of ∼38 text messages. Though patterns varied, communication between the IV and SBT teams tended to be highest during ∼50-150 min into the EVA, corresponding to the candidate sample search and presampling instrument survey phases, and then decreased dramatically after minute ∼200 during the sample collection phase. Generally, the IV2 and SBT used ∼4.6 min to craft a reply to a direct question or comment, regardless of message length or OWLT, offering a valuable glimpse into actual time-to-reply. We discuss IV2-SBT communication within the context of case examples from an EVA during which communication failures affected operations in the field. Finally, we offer recommendations for communication practices for use in future analogs and, perhaps, science-driven human spaceflight.

Indexed as

CommunicationExtravehicular ActivityMarsSatellite CommunicationsAstronautsEarth, PlanetExobiologyForecastingHumansSpace SimulationTime FactorsAnalogBASALTMarsScience communicationSpaceflight

Identifiers

PMID30840509
PMCPMC6442240
OpenAlexW2922048770

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.