TY - GEN
T1 - Decision-making under uncertainty in research synthesis
T2 - 2019 CHI Conference on Human Factors in Computing Systems, CHI 2019
AU - Kale, Alex
AU - Kay, Matthew
AU - Hullman, Jessica Ruth
N1 - Funding Information:
This work was funded by US Navy STTR Contract N68335-17-C-0410 in partnership with Stottler Henke Assoc, and NSF award #1749266.
Publisher Copyright:
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM.
PY - 2019/5/2
Y1 - 2019/5/2
N2 - To make evidence-based recommendations to decision-makers, researchers conducting systematic reviews and meta-analyses must navigate a garden of forking paths: a series of analytical decision-points, each of which has the potential to influence findings. To identify challenges and opportunities related to designing systems to help researchers manage uncertainty around which of multiple analyses is best, we interviewed 11 professional researchers who conduct research synthesis to inform decision-making within three organizations. We conducted a qualitative analysis identifying 480 analytical decisions made by researchers throughout the scientific process. We present descriptions of current practices in applied research synthesis and corresponding design challenges: making it more feasible for researchers to try and compare analyses, shifting researchers' attention from rationales for decisions to impacts on results, and supporting communication techniques that acknowledge decision-makers' aversions to uncertainly. We identify opportunities to design systems which help researchers explore, reason about, and communicate uncertainly in decision-making about possible analyses in research synthesis.
AB - To make evidence-based recommendations to decision-makers, researchers conducting systematic reviews and meta-analyses must navigate a garden of forking paths: a series of analytical decision-points, each of which has the potential to influence findings. To identify challenges and opportunities related to designing systems to help researchers manage uncertainty around which of multiple analyses is best, we interviewed 11 professional researchers who conduct research synthesis to inform decision-making within three organizations. We conducted a qualitative analysis identifying 480 analytical decisions made by researchers throughout the scientific process. We present descriptions of current practices in applied research synthesis and corresponding design challenges: making it more feasible for researchers to try and compare analyses, shifting researchers' attention from rationales for decisions to impacts on results, and supporting communication techniques that acknowledge decision-makers' aversions to uncertainly. We identify opportunities to design systems which help researchers explore, reason about, and communicate uncertainly in decision-making about possible analyses in research synthesis.
KW - Representing uncertainty
KW - Research synthesis
UR - http://www.scopus.com/inward/record.url?scp=85067623970&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067623970&partnerID=8YFLogxK
U2 - 10.1145/3290605.3300432
DO - 10.1145/3290605.3300432
M3 - Conference contribution
AN - SCOPUS:85067623970
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2019 - Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
Y2 - 4 May 2019 through 9 May 2019
ER -