ImpersonatAR: Using Embodied Authoring and Evaluation to Prototype Multi-Scenario Use cases for Augmented Reality Applications

by | Oct 16, 2023

Authors: Meng-Han Wu, Ananya Ipsita, Gaoping Huang, Karthik Ramani, Alexander J Quinn
in ASME. J. Comput. Inf. Sci. Eng.

Prototyping use cases for Augmented Reality (AR) applications can be beneficial to elicit the functional requirements of the features early-on, to drive the subsequent development in a goal-oriented manner. Doing so would require designers to identify the goal-oriented interactions and map the associations between those interactions in a spatio-temporal context. Pertaining to the multiple scenarios that may result from the mapping, and the embodied nature of the interaction components, recent AR prototyping methods lack the support to adequately capture and communicate the intent of designers and stakeholders during this process. We present ImpersonatAR, a mobile-device based prototyping tool that utilizes embodied demonstrations in the augmented environment to support prototyping and evaluation of multi-scenario AR use cases. The approach uses: 1) capturing events or steps in form of embodied demonstrations using avatars and 3D animations, 2) organizing events and steps to compose multi-scenario experience, and finally 3) allowing stakeholders to explore the scenarios through interactive role-play with the prototypes. We conducted a user study with 10 participants to prototype use cases using ImpersonatAR from two different AR application features. Results validated that ImpersonatAR promotes exploration and evaluation of diverse design possibilities of multi-scenario AR use cases through embodied representations of the different scenarios.

Ananya Ipsita

Ananya Ipsita

Ananya Ipsita is a Master's student in the School of Mechanical Engineering at Purdue University since Fall 2018. She received her Bachelor's degree in Electronics and Communication Engineering from National Institute of Technology, Rourkela, India. Prior to joining Purdue, she worked as a software engineer in SAP Labs, India where she designed and developed analytical business solutions. Her research interest includes computer vision, robotic systems, Augmented Reality (AR) and Human-Computer Interaction (HCI).