TY - GEN
T1 - Accelerating innovations through literature-based discovery
T2 - 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC)
AU - Phang, Celina Sze Jun
AU - Vong, Wan Tze
AU - Sebastian, Yakub
AU - Raman, Valliappan
AU - Tiong, Xun Ting
AU - Then, Patrick Hang Hui
N1 - Funding Information:
This research is funded by the Malaysian Ministry of Education under the Fundamental Research Grant Scheme (FRGS) (Ref: FRGS/1/2018/ICT02/SWIN/03/2).
Publisher Copyright:
© 2020 IEEE.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/2/23
Y1 - 2021/2/23
N2 - Literature-based discovery (LBD) systems aim at helping researchers and scientists automatically generate and test potentially worthwhile research hypotheses. This is achieved by scouring vast collections of scientific publications for novel cross-applications of existing technological solutions from disparate fields. The inherent cross-disciplinary nature of LBD systems makes it an extremely valuable tool for accelerating humanitarian technology innovation through the facilitation of interdisciplinary problem solving. However, more evidence is currently needed to describe the extent to which LBD-style information search really helps researchers in their day-to-day scientific investigations. Of concern is the current lack of in-depth investigations into usability aspects and challenges in LBD system designs. This paper presents results from our preliminary user study of multidisciplinary researchers in interacting with LION-LBD, one of the most sophisticated LBD software available today. The study provides initial qualitative insights into four key usability issues faced by users in performing LBD-style hypothesis generation activities. Our findings suggest that addressing these challenges holds the key to increasing LBD systems future adoptions by researchers and scientists in practical settings.
AB - Literature-based discovery (LBD) systems aim at helping researchers and scientists automatically generate and test potentially worthwhile research hypotheses. This is achieved by scouring vast collections of scientific publications for novel cross-applications of existing technological solutions from disparate fields. The inherent cross-disciplinary nature of LBD systems makes it an extremely valuable tool for accelerating humanitarian technology innovation through the facilitation of interdisciplinary problem solving. However, more evidence is currently needed to describe the extent to which LBD-style information search really helps researchers in their day-to-day scientific investigations. Of concern is the current lack of in-depth investigations into usability aspects and challenges in LBD system designs. This paper presents results from our preliminary user study of multidisciplinary researchers in interacting with LION-LBD, one of the most sophisticated LBD software available today. The study provides initial qualitative insights into four key usability issues faced by users in performing LBD-style hypothesis generation activities. Our findings suggest that addressing these challenges holds the key to increasing LBD systems future adoptions by researchers and scientists in practical settings.
KW - literature-based discovery
KW - usability
KW - human computer interaction
KW - humanitarian technology
UR - http://www.scopus.com/inward/record.url?scp=85102034245&partnerID=8YFLogxK
U2 - 10.1109/R10-HTC49770.2020.9356968
DO - 10.1109/R10-HTC49770.2020.9356968
M3 - Conference Paper published in Proceedings
AN - SCOPUS:85102034245
VL - 1
T3 - IEEE Region 10 Humanitarian Technology Conference, R10-HTC
SP - 1
EP - 6
BT - Proceedings of 2020 IEEE 8th R10 Humanitarian Technology Conference, R10-HTC 2020
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - Piscataway, NJ
Y2 - 1 December 2020 through 3 December 2020
ER -