PhD Student Soheil Sepahyar to Present Final Oral Examination November 15


PhD graduate student Soheil Sepahyar

PhD student Soheil Sepahyar, Computer Science, will present his final oral examination (“defense”) on Wednesday, November 15, 2023, at 1 pm in Rekhi Hall 101 and via Zoom webinar. The title of Sepahyar’s defense is, “The Impact of Pre-Experiment Walking on Distance Perception in VR.”

Sepahyar is advised by Associate Professiot Scott Kuhl, Computer

Sepahyar’s doctoral advisor is Associate Professor Scott Kuhl, Computer Science.

Join the Zoom webinar.

Defense Title

The Impact of Pre-Experiment Walking on Distance Perception in VR

Defense Abstract

While individuals can accurately estimate distances in the real world, this ability is often diminished in virtual reality (VR) simulations, hampering performance across training, entertainment, prototyping, and education domains. To assess distance judgments, the direct blind walking method—having participants walk blindfolded to targets—is frequently used. Typically direct blind walking measurements are performed after an initial practice phase where people become comfortable with walking while blindfolded. Surprisingly, little research has explored how such pre-experiment walking impacts subsequent VR distance judgments. Our initial investigation revealed increased pre-experiment blind walking reduced distance underestimations, underscoring the importance of detailing these preparatory procedures in research—details often overlooked. In a follow-up study, we found that eyes-open walking prior to pre-experiment blind walking did not influence results, while extensive pre-experiment blind walking led to overestimation. Additionally, see-through walking had a slightly greater impact and less underestimation compared to one loop of pre-experiment blind walking. Our comprehensive research deepens our understanding of how pre-experiment methodologies influence distance judgments in VR, guides future research protocols, and elucidates the mechanics of distance estimation within virtual reality.