TY - GEN
T1 - Scalability limits of large immersive high-resolution displays
AU - Papadopoulos, C.
AU - Mirhosseini, S.
AU - Gutenko, I.
AU - Petkov, K.
AU - Kaufman, A. E.
AU - Laha, B.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/8/25
Y1 - 2015/8/25
N2 - We present the results of a variable information space experiment, targeted at exploring the scalability limits of immersive highresolution, tiled-display walls under physical navigation. Our work is motivated by a lack of evidence supporting the extension of previously established benefits on substantially large, room-shaped displays. Using the Reality Deck, a gigapixel resolution immersive display, as its apparatus, our study spans four display form-factors, starting at 100 megapixels arranged planarly and up to one gi-gapixel in a horizontally immersive setting. We focus on four core tasks: visual search, attribute search, comparisons and pattern finding. We present a quantitative analysis of per-task user performance across the various display conditions. Our results demonstrate improvements in user performance as the display form-factor changes to 600 megapixels. At the 600 megapixel to 1 gigapixel transition, we observe no tangible performance improvements and the visual search task regressed substantially. Additionally, our analysis of subjective mental effort questionnaire responses indicates that subjective user effort grows as the display size increases, validating previous studies on smaller displays. Our analysis of the participants' physical navigation during the study sessions shows an increase in user movement as the display grew. Finally, by visualizing the participants' movement within the display apparatus space, we discover two main approaches (termed 'overview' and 'detail') through which users chose to tackle the various data exploration tasks. The results of our study can inform the design of immersive high-resolution display systems and provide insight into how users navigate within these room-sized visualization spaces.
AB - We present the results of a variable information space experiment, targeted at exploring the scalability limits of immersive highresolution, tiled-display walls under physical navigation. Our work is motivated by a lack of evidence supporting the extension of previously established benefits on substantially large, room-shaped displays. Using the Reality Deck, a gigapixel resolution immersive display, as its apparatus, our study spans four display form-factors, starting at 100 megapixels arranged planarly and up to one gi-gapixel in a horizontally immersive setting. We focus on four core tasks: visual search, attribute search, comparisons and pattern finding. We present a quantitative analysis of per-task user performance across the various display conditions. Our results demonstrate improvements in user performance as the display form-factor changes to 600 megapixels. At the 600 megapixel to 1 gigapixel transition, we observe no tangible performance improvements and the visual search task regressed substantially. Additionally, our analysis of subjective mental effort questionnaire responses indicates that subjective user effort grows as the display size increases, validating previous studies on smaller displays. Our analysis of the participants' physical navigation during the study sessions shows an increase in user movement as the display grew. Finally, by visualizing the participants' movement within the display apparatus space, we discover two main approaches (termed 'overview' and 'detail') through which users chose to tackle the various data exploration tasks. The results of our study can inform the design of immersive high-resolution display systems and provide insight into how users navigate within these room-sized visualization spaces.
KW - display scalability
KW - highresolution display
KW - immersion
KW - navigation
KW - user studies
KW - visualization
KW - Wall displays
UR - https://www.scopus.com/pages/publications/84954567144
U2 - 10.1109/VR.2015.7223318
DO - 10.1109/VR.2015.7223318
M3 - Conference contribution
AN - SCOPUS:84954567144
T3 - 2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings
SP - 11
EP - 18
BT - 2015 IEEE Virtual Reality Conference, VR 2015 - Proceedings
A2 - Swan, J. Edward
A2 - Lecuyer, Anatole
A2 - Hollerer, Tobias
A2 - Interrante, Victoria
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - IEEE Virtual Reality Conference, VR 2015
Y2 - 23 March 2015 through 27 March 2015
ER -