The Role of User Differences in Customization: A Case Study in Personalization for Infovis-Based Content

Recommender System UXInteractive Data VisualizationVisualization Perception & Cognition

Although there is extensive evidence that personalization of interactive systems can improve the user’s experience and satisfaction, it is also known that the two main approaches to deliver personalization, namely via customization or system-driven adaptation, have limitations. In particular, many users do not use customize mechanisms, while adaptation can be perceived as intrusive and opaque. In this paper, we explore an intermediary approach to personalization, namely delivering system-driven support to customization. To this end, we study a customization mechanism allowing to choose the type and amount of information displayed by means of information visualizations in a system for decision making, and examine the impact of user differences on the effectiveness of this mechanism. Our results show that, for the users who did use the customization mechanism, customization effectiveness was impacted by their levels of visualization literacy and locus of control. These results suggest that the customization mechanism could be improved by system-driven assistance to customize depending on the user’s level of visualization literacy and locus of control.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/iui/6203/2019

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
IUI
calendar_month
Year
2019
emoji_events
Award
No award tagged
group
Authors
2 authors
sell
Subtopics
Recommender System UX, Interactive Data Visualization, Visualization Perception & Cognition
work
Professions
—
article
Content Status
Abstract only
hub
Related Papers
4 related papers