User acceptance of knowledge-based system recommendations

Explanations, arguments, and fit - Research in progress

Justin Scott Giboney, Susan A Brown, Jay F Nunamaker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Knowledge-based systems (KBS) can potentially enhance individual decision making. Yet, recommendations from these systems continue to be met with resistance. This is particularly troubling in professions associated with deception detection (e.g., border control), where humans are accurate only about half the time. In this research-in-progress, we examine how the fit between KBS explanations and users' internal explanations influences acceptance of system recommendations. To describe the explanations, we rely on Toulmin's argument classifications. We leverage cognitive fit theory as the theoretical explanation as to why fit is important for user acceptance of the system's evaluation. We describe a two-phased research approach in which we first develop the arguments, evaluate their relative strength, and validate their fit with key argument types. This is followed by a description of an experiment in which we examine the processing of explanations provided by KBS, focusing on explanations in a credibility assessment task.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Hawaii International Conference on System Sciences
Pages3719-3727
Number of pages9
DOIs
StatePublished - 2011
Event2012 45th Hawaii International Conference on System Sciences, HICSS 2012 - Maui, HI, United States
Duration: Jan 4 2012Jan 7 2012

Other

Other2012 45th Hawaii International Conference on System Sciences, HICSS 2012
CountryUnited States
CityMaui, HI
Period1/4/121/7/12

Fingerprint

Knowledge based systems
Recommender systems
Decision making
Processing
Experiments

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Giboney, J. S., Brown, S. A., & Nunamaker, J. F. (2011). User acceptance of knowledge-based system recommendations: Explanations, arguments, and fit - Research in progress. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 3719-3727). [6149346] https://doi.org/10.1109/HICSS.2012.624

User acceptance of knowledge-based system recommendations : Explanations, arguments, and fit - Research in progress. / Giboney, Justin Scott; Brown, Susan A; Nunamaker, Jay F.

Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. p. 3719-3727 6149346.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Giboney, JS, Brown, SA & Nunamaker, JF 2011, User acceptance of knowledge-based system recommendations: Explanations, arguments, and fit - Research in progress. in Proceedings of the Annual Hawaii International Conference on System Sciences., 6149346, pp. 3719-3727, 2012 45th Hawaii International Conference on System Sciences, HICSS 2012, Maui, HI, United States, 1/4/12. https://doi.org/10.1109/HICSS.2012.624
Giboney JS, Brown SA, Nunamaker JF. User acceptance of knowledge-based system recommendations: Explanations, arguments, and fit - Research in progress. In Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. p. 3719-3727. 6149346 https://doi.org/10.1109/HICSS.2012.624
Giboney, Justin Scott ; Brown, Susan A ; Nunamaker, Jay F. / User acceptance of knowledge-based system recommendations : Explanations, arguments, and fit - Research in progress. Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. pp. 3719-3727
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