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VitaChronicle 2.0: A Dual-Mode UX-Centered Approach to Lifelog Image Retrieval for Novice and Expert Users

Gurrin, Cathal et al. orcid logoORCID: 0000-0003-2903-3968 (2025) VitaChronicle 2.0: A Dual-Mode UX-Centered Approach to Lifelog Image Retrieval for Novice and Expert Users. LSC '25: Proceedings of the 8th Annual ACM Workshop on the Lifelog Search Challenge . pp. 63-69. ISSN 979-8-4007-1857-1

Abstract
Retrieving meaningful information from lifelog data remains a complex task due to its large volume, diversity of modalities, and the need for intuitive user interaction to support effective memory search. Despite advancements in retrieval techniques, user interface (UI) design remains underexplored, often limiting accessibility for diverse user groups. To address this gap, we present VitaChronicle 2.0, a redesigned retrieval framework that focuses on improving the previous system’s interface and user experience (UX) for better lifelog search performance. The proposed framework features a dual-mode interface, offering simplified navigation or advanced query capabilities as needed. Novice mode minimizes interface complexity to reduce cognitive load, while expert mode enables parameterized queries, compact views, and advanced navigation tools. In VitaChronicle 2.0, new functionalities include voiceactivated search, mode selection, and intelligent suggestions for queries and images. This updated version is developed with usercentric design principles and validated through iterative testing, contributing a scalable and user-adaptive framework for visual lifelog retrieval.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Lifelogging, User Interfaces, Visual Search, Human-centered Design, Image Retrieval, Dual-mode Interaction; Usability; UX Design
Subjects:Computer Science > Computer engineering
Computer Science > Computer networks
Computer Science > Computer software
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Association for Computing Machinery
Official URL:https://dl.acm.org/doi/10.1145/3729459.3748692
Copyright Information:Authors
ID Code:31770
Deposited On:04 Nov 2025 14:54 by Gordon Kennedy . Last Modified 04 Nov 2025 14:54
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