Explaining Review-Based Recommendations: Effects of Profile Transparency, Presentation Style and User Characteristics

Abstract Providing explanations based on user reviews in recommender systems (RS) may increase users’ perception of transparency or effectiveness. However, little is known about how these explanations should be presented to users, or which types of user interface components should be included in explanations, in order to increase both their comprehensibility and acceptance. To investigate such matters, we conducted two experiments and evaluated the differences in users’ perception when providing information about their own profiles, in addition to a summarized view on the opinions of other customers about the recommended hotel. Additionally, we also aimed to test the effect of different display styles (bar chart and table) on the perception of review-based explanations for recommended hotels, as well as how useful users find different explanatory interface components. Our results suggest that the perception of an RS and its explanations given profile transparency and different presentation styles, may vary depending on individual differences on user characteristics, such as decision-making styles, social awareness, or visualization familiarity.

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Assessing Individual Differences in Decision Making Styles: Analytical vs. Intuitive

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193120204601204 ◽

2002 ◽

Vol 46 (12) ◽

pp. 953-957 ◽

Cited By ~ 4

Author(s):

Thomas E. Nygren ◽

Rebecca J. White

Keyword(s):

Decision Making ◽

Individual Differences ◽

Human Performance ◽

Self Report ◽

Dynamic Decision Making ◽

Complex Dynamic ◽

Decision Style ◽

Decision Strategies ◽

Decision Making Styles ◽

Report Measure

Decision strategies are often characterized as being intuition-based or analytically-based. The use of these strategies is proposed to be associated with individual differences in propensity toward using different decision making styles. A reliable self-report measure, the Decision Making Styles Inventory (DMI), consisting of 15 items on each of three scales was constructed. The items were found to differentiate among an “analytical”, an “intuitive”, and a “regret-based” emotional decision making style. The analytical and intuitive scales were found to predict differences in performance in a complex dynamic decision making task. on a decision making subtask, a greater general reliance on an analytical decision making style was found to lead to poorer performance. Greater reliance on a more intuitive approach had no effect on this subtask, but was found to predict better performance as workload levels increased. These findings suggest that human performance may be significantly influenced when either a more intuitive or analytical decision style is used. Implications for training the adaptive decision maker are discussed.

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Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

Behavioral and Brain Sciences ◽

10.1017/s0140525x18000274 ◽

2018 ◽

Vol 41 ◽

Author(s):

Kevin Arceneaux

Keyword(s):

Decision Making ◽

Individual Differences ◽

Cognitive Processes ◽

Evolutionary History ◽

Behavioral Responses ◽

History Of ◽

Economic Beliefs

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.

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