Aurally aided visual search performance in a dynamic environment

Previous research has repeatedly shown that people can find a visual target significantly faster if spatial (3D) auditory displays direct attention to the corresponding spatial location. However, previous research has only examined searches for static (non-moving) targets in static visual environments. Since motion has been shown to affect visual acuity, auditory acuity, and visual search performance, it is important to characterize aurally-aided search performance in environments that contain dynamic (moving) stimuli. In the present study, visual search performance in both static and dynamic environments is investigated with and without 3D auditory cues. Eight participants searched for a single visual target hidden among 15 distracting stimuli. In the baseline audio condition, no auditory cues were provided. In the 3D audio condition, a virtual 3D sound cue originated from the same spatial location as the target. In the static search condition, the target and distractors did not move. In the dynamic search condition, all stimuli moved on various trajectories at 10 deg/s. The results showed a clear benefit of 3D audio that was present in both static and dynamic environments, suggesting that spatial auditory displays continue to be an attractive option for a variety of aircraft, motor vehicle, and command & control applications.

[1]  M. Bradley,et al.  Affective reactions to acoustic stimuli. , 2000, Psychophysiology.

[2]  Adelbert W. Bronkhorst,et al.  Application of a Three-Dimensional Auditory Display in a Flight Task , 1996, Hum. Factors.

[3]  Chandler Dw,et al.  Minimum audible movement angle in the horizontal plane as a function of stimulus frequency and bandwidth, source azimuth, and velocity. , 1992 .

[4]  R A ERICKSON.  VISUAL SEARCH PERFORMANCE IN MOVING STRUCTURED FIELD. , 1964, Journal of the Optical Society of America.

[5]  John Paul McIntire.  Visual Search Performance in a Dynamic Environment with 3D Auditory Cues , 2007 .

[6]  Walter J. Karplus,et al.  Using virtual 3D audio in multispeech channel and multimedia environments , 2000, Defense, Security, and Sensing.

[7]  Russell L. Martin,et al.  Aurally and Visually Guided Visual Search in a Virtual Environment , 1998, Hum. Factors.

[8]  T Z Strybel,et al.  Aurally Aided Visual Search in the Central Visual Field: Effects of Visual Load and Visual Enhancement of the Target , 1991, Human factors.

[9]  Elizabeth M. Wenzel,et al.  A software-based system for interactive spatial sound synthesis , 2000 .

[10]  Robert S. Bolia,et al.  Aurally Aided Visual Search in Three-Dimensional Space , 1999, Hum. Factors.

[11]  Constance S. Royden,et al.  Visual search asymmetries in motion and optic flow fields , 2001, Perception & psychophysics.

[12]  Judy Edworthy,et al.  Designing urgency into auditory warnings using pitch, speed and loudness , 1996 .

[13]  V. Ralph Algazi,et al.  The Use of Head-and-Torso Models for Improved Spatial Sound Synthesis , 2002 .

[14]  K. Saberi,et al.  Auditory psychomotor coordination and visual search performance , 1990, Perception & psychophysics.

[15]  K. Saberi,et al.  Minimum audible movement angles as a function of sound source trajectory. , 1990, The Journal of the Acoustical Society of America.

[16]  Tommy R. Morrison.  A Review of Dynamic Visual Acuity. , 1980 .

[17]  Richard L. McKinley,et al.  Aurally Aided Visual Search under Virtual and Free-Field Listening Conditions , 1996, Hum. Factors.

[18]  Roger Ratcliff,et al.  Methods for Dealing With Reaction Time Outliers , 1992 .

[19]  Douglas S. Brungart,et al.  Spatial Audio as a Navigation Aid and Attitude Indicator , 2005 .

[20]  Michael W. Haas,et al.  Effects of Localized Auditory Information on Visual Target Detection Performance Using a Helmet-Mounted Display , 1998, Hum. Factors.