“Tell Me Why You’re Asking”: Exploring How to Increase Engagement in Preference Feedback for Intelligent Notification Systems

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Authors: Li-Ting Su, Uei-Dar Chen, Yu-Shiun Wu, Yi-Jyeie Chen, Yung-Ju Chang
Cited by: 1
References: 135

Abstract

Understanding how people are willing to express notification preferences is essential for designing personalized intelligent notification systems. Yet little is known about when, how, and under what conditions individuals choose to provide such input. We conducted semi-structured interviews with 33 participants, using design probes to examine the timing, methods, and concerns surrounding preference expression. Our findings make three contributions. First, we show that willingness to provide feedback depends not only on input ease and function but also on the justifiability of the moment, with requests embedded into notification-handling routines perceived as most natural. Second, we find that sustained engagement requires two forms of clarity: clarity in how to express one’s preferences and clarity in how the system interprets and applies that input. Third, we reveal expectations for notification systems to act as evolving partners that distinguish temporary and situational shifts from longer-term preference changes and support mutual learning over time.

Fields of Study & Subjects

Personal Information Management and User Behavior Team Dynamics and Performance Usability and User Interface Design

Publication details

Journal / source
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Pages
1–20
Publication date
13 April 2026