Gamasutra

If you missed SIGGRAPH 2017 watch a selection of recorded Live Streaming Sessions.

You are here

Technical Papers

People Power

Immersed

NVIDIA

Monday, 31 July, 3:45 pm - 5:35 pm, Los Angeles Convention Center, Los Angeles Convention Center - Room 152
Session Chair: Eakta Jain, University of Florida

Movie Editing and Cognitive Event Segmentation in Virtual Reality Video

This work presents a systematic analysis of viewer behavior and perceived continuity in VR video content. The results may have direct implications in VR, informing content creators about the potential responses that certain edit configurations may elicit in the audience.

Ana Serrano
Universidad de Zaragoza

Vincent Sitzmann
Stanford University

Jaime Ruiz-Borau
Universidad de Zaragoza

Gordon Wetzstein
Stanford University

Diego Gutierrez
Universidad de Zaragoza

Belen Masia
Universidad de Zaragoza

Sequential Line Search for Efficient Visual Design Optimization by Crowds

This method of adjusting design parameters using crowdsourced human computation decomposes a high-dimensional search task into a sequence of line-search microtasks that can be performed by crowds. It is formulated using Bayesian optimization techniques. The paper applies it to photo enhancement and material BRDF design.

Yuki Koyama
The University of Tokyo

Issei Sato
The University of Tokyo

Daisuke Sakamoto
The University of Tokyo

Takeo Igarashi
The University of Tokyo

PERFORM: Perceptual Approach for Adding OCEAN Personality to Human Motion Using Laban Movement Analysis

Application of a formal, broadly applicable, procedural, and empirically grounded association between personality and body motion using an intermediate step called Laban Movement Analysis to modify any given virtual human-body animation.

Norman Badler
University of Pennsylvania

Funda Durupinar
Oregon Health & Science University

Mubbasir Kapadia
Rutgers University

Susan Deutsch
Drexel University

Michael Neff
University of California Davis

Understanding the Impact of Animated Gesture Performance on Personality Perceptions

This paper presents two experiments that further our understanding of virtual-agent personality perception. It identifies relevant aspects of gesture performance for each trait in the Big Five model of personality, then it generates four distinctly perceived personalities by adjusting gesture performance alone and identifies potential limitations of the approach.

Harrison Jesse Smith
University of California, Davis

Michael Neff
University of California, Davis

Saccade-Landing-Position Prediction for Gaze-Contingent Rendering

This paper presents an end-to-end system that uses a saccade-landing-position prediction to combat system latency in gaze-contingent systems. The authors created a measurements-driven model for predicting saccade landing positions and validated its application in rendering.

Elena Arabadzhiyska
Universität des Saarlandes, Max Planck Institut für Informatik

Okan Tursun
Max Planck Institut für Informatik

Karol Myszkowski
Max Planck Institut für Informatik

Hans-Peter Seidel
Max Planck Institut für Informatik

Piotr Didyk
Universität des Saarlandes