Innovative Lifelog Visualization and Exploration in Virtual Reality: A Comparative Study

Wolfgang Hürst; Yannick Visser

doi:10.1007/978-981-96-2061-6_11

Innovative Lifelog Visualization and Exploration in Virtual Reality: A Comparative Study

Wolfgang Hürst^*
, Yannick Visser

^*Corresponding author for this work

Sub Multimedia

Utrecht University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Visual lifelogs, comprising images captured automatically throughout the day, present significant challenges for effective access and analysis due to their large volume and lack of context. This study evaluates three innovative visualization methods in virtual reality (VR) to address these issues. The first method enhances contextual understanding by displaying sequential images as an animated GIF. The second and third methods further enrich context by overlaying images onto a 2D map and a 3D map, respectively. Virtual reality offers an immersive and interactive environment for users to explore these visualizations. A comparative study highlights the strengths and weaknesses of each approach, with animated GIFs demonstrating greater efficiency, while 3D maps offer deeper engagement and immersion. Based on these findings, we propose a hybrid design that allows users to seamlessly switch between visualization modes depending on their specific tasks and needs.

Original language	English
Title of host publication	MultiMedia Modeling - 31st International Conference on Multimedia Modeling, MMM 2025, Proceedings
Editors	Ichiro Ide, Ioannis Kompatsiaris, Changsheng Xu, Keiji Yanai, Wei-Ta Chu, Naoko Nitta, Michael Riegler, Toshihiko Yamasaki
Publisher	Springer
Pages	141-154
Number of pages	14
ISBN (Electronic)	978-981-96-2061-6
ISBN (Print)	978-981-96-2060-9
DOIs	https://doi.org/10.1007/978-981-96-2061-6_11
Publication status	Published - 2025
Event	31st International Conference on Multimedia Modeling, MMM 2025 - Nara, Japan Duration: 8 Jan 2025 → 10 Jan 2025

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	15521 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	31st International Conference on Multimedia Modeling, MMM 2025
Country/Territory	Japan
City	Nara
Period	8/01/25 → 10/01/25

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Keywords

Lifelog exploration
lifelog visualization
lifelogs in VR

Access to Document

10.1007/978-981-96-2061-6_11

978-981-96-2061-6_11Final published version, 3.36 MBLicence: Taverne

Cite this

Hürst, W., & Visser, Y. (2025). Innovative Lifelog Visualization and Exploration in Virtual Reality: A Comparative Study. In I. Ide, I. Kompatsiaris, C. Xu, K. Yanai, W.-T. Chu, N. Nitta, M. Riegler, & T. Yamasaki (Eds.), MultiMedia Modeling - 31st International Conference on Multimedia Modeling, MMM 2025, Proceedings (pp. 141-154). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15521 LNCS). Springer. https://doi.org/10.1007/978-981-96-2061-6_11

Hürst, Wolfgang ; Visser, Yannick. / Innovative Lifelog Visualization and Exploration in Virtual Reality : A Comparative Study. MultiMedia Modeling - 31st International Conference on Multimedia Modeling, MMM 2025, Proceedings. editor / Ichiro Ide ; Ioannis Kompatsiaris ; Changsheng Xu ; Keiji Yanai ; Wei-Ta Chu ; Naoko Nitta ; Michael Riegler ; Toshihiko Yamasaki. Springer, 2025. pp. 141-154 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Visual lifelogs, comprising images captured automatically throughout the day, present significant challenges for effective access and analysis due to their large volume and lack of context. This study evaluates three innovative visualization methods in virtual reality (VR) to address these issues. The first method enhances contextual understanding by displaying sequential images as an animated GIF. The second and third methods further enrich context by overlaying images onto a 2D map and a 3D map, respectively. Virtual reality offers an immersive and interactive environment for users to explore these visualizations. A comparative study highlights the strengths and weaknesses of each approach, with animated GIFs demonstrating greater efficiency, while 3D maps offer deeper engagement and immersion. Based on these findings, we propose a hybrid design that allows users to seamlessly switch between visualization modes depending on their specific tasks and needs.",

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Hürst, W & Visser, Y 2025, Innovative Lifelog Visualization and Exploration in Virtual Reality: A Comparative Study. in I Ide, I Kompatsiaris, C Xu, K Yanai, W-T Chu, N Nitta, M Riegler & T Yamasaki (eds), MultiMedia Modeling - 31st International Conference on Multimedia Modeling, MMM 2025, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 15521 LNCS, Springer, pp. 141-154, 31st International Conference on Multimedia Modeling, MMM 2025, Nara, Japan, 8/01/25. https://doi.org/10.1007/978-981-96-2061-6_11

Innovative Lifelog Visualization and Exploration in Virtual Reality: A Comparative Study. / Hürst, Wolfgang; Visser, Yannick.
MultiMedia Modeling - 31st International Conference on Multimedia Modeling, MMM 2025, Proceedings. ed. / Ichiro Ide; Ioannis Kompatsiaris; Changsheng Xu; Keiji Yanai; Wei-Ta Chu; Naoko Nitta; Michael Riegler; Toshihiko Yamasaki. Springer, 2025. p. 141-154 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15521 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

PY - 2025

Y1 - 2025

N2 - Visual lifelogs, comprising images captured automatically throughout the day, present significant challenges for effective access and analysis due to their large volume and lack of context. This study evaluates three innovative visualization methods in virtual reality (VR) to address these issues. The first method enhances contextual understanding by displaying sequential images as an animated GIF. The second and third methods further enrich context by overlaying images onto a 2D map and a 3D map, respectively. Virtual reality offers an immersive and interactive environment for users to explore these visualizations. A comparative study highlights the strengths and weaknesses of each approach, with animated GIFs demonstrating greater efficiency, while 3D maps offer deeper engagement and immersion. Based on these findings, we propose a hybrid design that allows users to seamlessly switch between visualization modes depending on their specific tasks and needs.

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PB - Springer

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Hürst W, Visser Y. Innovative Lifelog Visualization and Exploration in Virtual Reality: A Comparative Study. In Ide I, Kompatsiaris I, Xu C, Yanai K, Chu WT, Nitta N, Riegler M, Yamasaki T, editors, MultiMedia Modeling - 31st International Conference on Multimedia Modeling, MMM 2025, Proceedings. Springer. 2025. p. 141-154. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2024 Dec 31. doi: 10.1007/978-981-96-2061-6_11