ACM ISS 2023
Sun 5 - Wed 8 November 2023

Immersive analytics research has explored how embodied data representations and interactions can be used to engage users in sensemaking. Prior research has broadly overlooked the potential of immersive space for supporting analytic provenance, the understanding of sensemaking processes through users’ interaction histories. We propose the concept of embodied provenance, the use of three-dimensional space and embodied interactions in supporting recalling, reproducing, annotating and sharing analysis history in immersive environments. We design a conceptual framework for embodied provenance by highlighting a set of design criteria for analytic provenance drawn from prior work and identifying essential properties for embodied provenance. We develop a prototype system in virtual reality to demonstrate the concept and support the conceptual framework by providing multiple data views and embodied interaction metaphors in a large virtual space. We present a use case scenario of energy consumption analysis and evaluated the system through a qualitative evaluation with 17 participants, which show the system’s potential for assisting analytic provenance using embodiment. Our exploration of embodied provenance through this prototype provides lessons learnt to guide the design of immersive analytic tools for embodied provenance.

Wed 8 Nov

Displayed time zone: Eastern Time (US & Canada) change

11:00 - 12:15
Session 6: Immersion, Audio, and MultimediaPapers at Schenley Ballroom
Chair(s): Tigmanshu Bhatnagar
11:00
25m
Talk
Embodied Provenance for Immersive Sensemaking
Papers
A: Yidan Zhang Monash University, A: Barrett Ens Monash University, A: Kadek Satriadi Monash University, A: Ying Yang Monash University, A: Sarah Goodwin Monash
DOI Media Attached
11:25
25m
Talk
Hum-ble Beginnings: Developing Touch- and Proximity-Input-Based Interfaces for Zoo-Housed Giraffes’ Audio EnrichmentHonorable Mention
Papers
A: Alana Grant University of Glasgow, A: Vilma Kankaanpää University of Glasgow, A: Ilyena Hirskyj-Douglas University of Glasgow
DOI
11:50
25m
Talk
Interactive 3D Annotation of Objects in Moving Videos from Sparse Multi-view Frames
Papers
A: Kotaro Oomori The University of Tokyo, A: Wataru Kawabe The University of Tokyo, A: Fabrice Matulic Preferred Networks, A: Takeo Igarashi The University of Tokyo, A: Keita Higuchi Preferred Networks
DOI