Quality of Interaction Arising from Augmented Reality Content: A Comprehensive Study

Seongjean Kim, Jinwoo Kim, Sanghoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Current augmented reality (AR) head-mounted dis-plays (HMDs) have rapidly developed with the users' requirement to expand the real-world experience to the virtual world. To bridge the real and virtual space, mid-air hand gestures have been regarded as a de-facto interaction method for AR systems. However, providing natural interaction is still limited and mea-suring the quality of interaction (QoI) has received little attention. In this research, we explore a comprehensive study for perceptive QoI in AR HMDs, focusing on frequently used object interaction tasks. To quantitatively analyze the degree of QoI, we develop an AR-QoI database (e.g., select, translation, and rotation) with 72 content scenes that include mutually independent attributes. A novel protocol for QoI evaluation was designed to collect robust subjective opinions in conjunction with object data from 32 participants. Through a systematic formative study, we identify challenges that the user might face when interacting with un-familiar motion. Moreover, we discover meaningful relationships between various combinations of interaction types and the degree of QoI by clustering scene attributes. Notably, the constructed dataset contains a number of ground-truth labels that correspond to each AR scene. Through rigorous statistics evaluation, we demonstrate that our framework is reasonable for measuring QoI.

Original languageEnglish
Title of host publication2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1470-1474
Number of pages5
ISBN (Electronic)9789881476890
Publication statusPublished - 2021
Event2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Tokyo, Japan
Duration: 2021 Dec 142021 Dec 17

Publication series

Name2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021 - Proceedings

Conference

Conference2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2021
Country/TerritoryJapan
CityTokyo
Period21/12/1421/12/17

Bibliographical note

Publisher Copyright:
© 2021 APSIPA.

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Instrumentation

Fingerprint

Dive into the research topics of 'Quality of Interaction Arising from Augmented Reality Content: A Comprehensive Study'. Together they form a unique fingerprint.

Cite this