Gurrin, Cathal et al.
ORCID: 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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