Human interpretation of trade-off diagrams in multi-objective problems: Implications for developing interactive decision support systems

Danielle Oprean; Caitlin Spence; Mark Simpson; Randy Miller; Saurabh Bansal; Klaus Keller; Alexander Klippel

Human interpretation of trade-off diagrams in multi-objective problems: Implications for developing interactive decision support systems

Danielle Oprean
, Caitlin Spence
, Mark Simpson
, Randy Miller
, Saurabh Bansal
, Klaus Keller
, Alexander Klippel

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The growing need for efficient and effective human decision-makers warrants a better understanding of how decision support systems (DSS) guide users to improved decisions. Decision support approaches utilize visual aids to assist decision-making, including trade-off diagrams. These visualizations help comprehension of key trade-offs among decision alternatives. However, little is known about the role of trade-off diagrams in human decision-making and the best way to present them. Here, we discuss an empirical study with two goals: 1) evaluating DSS interactivity and 2) identifying decision-making strategies with trade-off diagrams. We specifically investigate the value of interface interactivity and problem context as users make nine increasingly complex decisions. Our results suggest that problem context and interactivity separately influence ability to navigate trade-off diagrams.

Original language	English (US)
Title of host publication	Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Editors	Tung X. Bui
Publisher	IEEE Computer Society
Pages	1560-1569
Number of pages	10
ISBN (Electronic)	9780998133126
State	Published - 2019
Event	52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 - Maui, United States Duration: Jan 8 2019 → Jan 11 2019

Publication series

Name	Proceedings of the Annual Hawaii International Conference on System Sciences
Volume	2019-January
ISSN (Print)	1530-1605

Conference

Conference	52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
Country/Territory	United States
City	Maui
Period	1/8/19 → 1/11/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

Oprean, D., Spence, C., Simpson, M., Miller, R., Bansal, S., Keller, K., & Klippel, A. (2019). Human interpretation of trade-off diagrams in multi-objective problems: Implications for developing interactive decision support systems. In T. X. Bui (Ed.), Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 (pp. 1560-1569). (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2019-January). IEEE Computer Society.

Oprean, Danielle ; Spence, Caitlin ; Simpson, Mark et al. / Human interpretation of trade-off diagrams in multi-objective problems : Implications for developing interactive decision support systems. Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. editor / Tung X. Bui. IEEE Computer Society, 2019. pp. 1560-1569 (Proceedings of the Annual Hawaii International Conference on System Sciences).

@inproceedings{af1a05828d354801b92c613fe92340a5,

title = "Human interpretation of trade-off diagrams in multi-objective problems: Implications for developing interactive decision support systems",

abstract = "The growing need for efficient and effective human decision-makers warrants a better understanding of how decision support systems (DSS) guide users to improved decisions. Decision support approaches utilize visual aids to assist decision-making, including trade-off diagrams. These visualizations help comprehension of key trade-offs among decision alternatives. However, little is known about the role of trade-off diagrams in human decision-making and the best way to present them. Here, we discuss an empirical study with two goals: 1) evaluating DSS interactivity and 2) identifying decision-making strategies with trade-off diagrams. We specifically investigate the value of interface interactivity and problem context as users make nine increasingly complex decisions. Our results suggest that problem context and interactivity separately influence ability to navigate trade-off diagrams.",

author = "Danielle Oprean and Caitlin Spence and Mark Simpson and Randy Miller and Saurabh Bansal and Klaus Keller and Alexander Klippel",

note = "Funding Information: We would like to acknowledge the co-support of the Penn State Center for Climate Risk Management and ChoroPhronesis. The experiments reported in the paper were conducted at the Laboratory for Economics, Management, and Auctions (LEMA) at Smeal College of Business. Publisher Copyright: {\textcopyright} 2019 IEEE Computer Society. All rights reserved.; 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019 ; Conference date: 08-01-2019 Through 11-01-2019",

year = "2019",

language = "English (US)",

series = "Proceedings of the Annual Hawaii International Conference on System Sciences",

publisher = "IEEE Computer Society",

pages = "1560--1569",

editor = "Bui, \{Tung X.\}",

booktitle = "Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019",

address = "United States",

}

Oprean, D, Spence, C, Simpson, M, Miller, R, Bansal, S, Keller, K & Klippel, A 2019, Human interpretation of trade-off diagrams in multi-objective problems: Implications for developing interactive decision support systems. in TX Bui (ed.), Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. Proceedings of the Annual Hawaii International Conference on System Sciences, vol. 2019-January, IEEE Computer Society, pp. 1560-1569, 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019, Maui, United States, 1/8/19.

Human interpretation of trade-off diagrams in multi-objective problems: Implications for developing interactive decision support systems. / Oprean, Danielle; Spence, Caitlin; Simpson, Mark et al.
Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. ed. / Tung X. Bui. IEEE Computer Society, 2019. p. 1560-1569 (Proceedings of the Annual Hawaii International Conference on System Sciences; Vol. 2019-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Human interpretation of trade-off diagrams in multi-objective problems

T2 - 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019

AU - Oprean, Danielle

AU - Spence, Caitlin

AU - Simpson, Mark

AU - Miller, Randy

AU - Bansal, Saurabh

AU - Keller, Klaus

AU - Klippel, Alexander

N1 - Funding Information: We would like to acknowledge the co-support of the Penn State Center for Climate Risk Management and ChoroPhronesis. The experiments reported in the paper were conducted at the Laboratory for Economics, Management, and Auctions (LEMA) at Smeal College of Business. Publisher Copyright: © 2019 IEEE Computer Society. All rights reserved.

PY - 2019

Y1 - 2019

N2 - The growing need for efficient and effective human decision-makers warrants a better understanding of how decision support systems (DSS) guide users to improved decisions. Decision support approaches utilize visual aids to assist decision-making, including trade-off diagrams. These visualizations help comprehension of key trade-offs among decision alternatives. However, little is known about the role of trade-off diagrams in human decision-making and the best way to present them. Here, we discuss an empirical study with two goals: 1) evaluating DSS interactivity and 2) identifying decision-making strategies with trade-off diagrams. We specifically investigate the value of interface interactivity and problem context as users make nine increasingly complex decisions. Our results suggest that problem context and interactivity separately influence ability to navigate trade-off diagrams.

AB - The growing need for efficient and effective human decision-makers warrants a better understanding of how decision support systems (DSS) guide users to improved decisions. Decision support approaches utilize visual aids to assist decision-making, including trade-off diagrams. These visualizations help comprehension of key trade-offs among decision alternatives. However, little is known about the role of trade-off diagrams in human decision-making and the best way to present them. Here, we discuss an empirical study with two goals: 1) evaluating DSS interactivity and 2) identifying decision-making strategies with trade-off diagrams. We specifically investigate the value of interface interactivity and problem context as users make nine increasingly complex decisions. Our results suggest that problem context and interactivity separately influence ability to navigate trade-off diagrams.

UR - https://www.scopus.com/pages/publications/85095699934

UR - https://www.scopus.com/pages/publications/85095699934#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:85095699934

T3 - Proceedings of the Annual Hawaii International Conference on System Sciences

SP - 1560

EP - 1569

BT - Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019

A2 - Bui, Tung X.

PB - IEEE Computer Society

Y2 - 8 January 2019 through 11 January 2019

ER -

Oprean D, Spence C, Simpson M, Miller R, Bansal S, Keller K et al. Human interpretation of trade-off diagrams in multi-objective problems: Implications for developing interactive decision support systems. In Bui TX, editor, Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019. IEEE Computer Society. 2019. p. 1560-1569. (Proceedings of the Annual Hawaii International Conference on System Sciences).

Human interpretation of trade-off diagrams in multi-objective problems: Implications for developing interactive decision support systems

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Other files and links

Fingerprint

Cite this