A Personalized Interaction Mechanism Framework for Micro-moment Recommender Systems
Authors: 
Yi-Ling Lin, Shao-Wei LeeAuthors Info & Claims
Yi-Ling Lin, Shao-Wei LeeAuthors Info & ClaimsArticle No.: 4, Pages 1 - 28
Abstract
The emergence of the micro-moment concept highlights the influence of context; recommender system design should reflect this trend. In response to different contexts, a micro-moment recommender system (MMRS) requires an effective interaction mechanism that allows users to easily interact with the system in a way that supports autonomy and promotes the creation and expression of self. We study four types of interaction mechanisms to understand which personalization approach is the most suitable design for MMRSs. We assume that designs that support micro-moment needs well are those that give users more control over the system and constitute a lighter user burden. We test our hypothesis via a two-week between-subject field study in which participants used our system and provided feedback. User-initiated and mix-initiated intention mechanisms show higher perceived active control, and the additional controls do not add to user burdens. Therefore, these two designs suit the MMRS interaction mechanism.
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Index Terms
- A Personalized Interaction Mechanism Framework for Micro-moment Recommender Systems
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Publication History
Published: 09 March 2023
Online AM: 29 October 2022
Accepted: 25 September 2022
Revised: 25 August 2022
Received: 07 April 2022
Published in TIIS Volume 13, Issue 1
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