LOGO Conversation Disrupts Change Detection in Complex Traffic Scenes Professor: Liu Student: Ruby.

Slides:



Advertisements
Similar presentations
LOGO Older people’s driving habits, visual abilities, and subjective assessment of daily visual functioning Professor: Liu Student: Ruby.
Advertisements

Chapter 6: Visual Attention. Overview of Questions Why do we pay attention to some parts of a scene but not to others? Do we have to pay attention to.
Application: driving Gemma Briggs
Eye Movements of Younger and Older Drivers Professor: Liu Student: Ruby.
LOGO The role of attentional breadth in perceptual change detection Professor: Liu Student: Ruby.
Procedure Baseline participants completed the category fluency task without seeing the video clip. Results Visual Acuity Young adults had better visual.
Multi-tasking on the Information Super Highway: Why Using a Cell Phone Can Make You Drive Like You’re Drunk David Strayer Department of Psychology RMPA:
Attention I Attention Wolfe et al Ch 7. Dana said that most vision is agenda-driven. He introduced the slide where the people attended to the many weird.
 The results of Experiment 2 replicated those of Experiment 1. Error rates were comparable for younger adults (2.4%) and older adults (2.1%).  Again,
Effects of uncertainty, transmission type, driver age and gender on brake reaction and movement time Professor: Liu Students: Ruby.
Chapter 6: Visual Attention. Scanning a Scene Visual scanning – looking from place to place –Fixation –Saccadic eye movement Overt attention involves.
Chapter 6: Visual Attention. Scanning a Scene Visual scanning – looking from place to place –Fixation –Saccadic eye movement Overt attention involves.
Effects of experience and processing demands on visual information acquisition in drivers Professor: Liu Student: Ruby.
LOGO Effects of scene inversion on change detection of targets matched for visual salience Professor: Liu Student: Ruby.
Measuring Cognitive Distraction in the Vehicle Joel Cooper Precision Driving Research David Strayer University of Utah.
Haptic Signals for Communication under Workload In a primarily visual task, haptic signals can be more resistant to large cognitive workloads than visual.
International Journal of Industrial Ergonomics 35 (2005) 939–953 Situation awareness and workload in driving while using adaptive cruise control and a.
Mobile Phone Use in a Driving Simulation Task: Differences in Eye Movements Stacy Balk, Kristin Moore, Will Spearman, & Jay Steele.
Representation of statistical properties 作 者: Sang Chul Chong, Anne Treisman 報告者:李正彥 日 期: 2006/3/23.
1 Automaticity development and decision making in complex, dynamic tasks Dynamic Decision Making Laboratory Social and Decision Sciences.
LOGO Current Approaches to Change Blindness Professor: Liu Student: Ruby.
Change blindness: Past, present, and future Professor: Liu Student: Ruby.
Company Logo Age, cognitive style, and traffic signs Professor: Liu Student: Ruby.
Studying Visual Attention with the Visual Search Paradigm Marc Pomplun Department of Computer Science University of Massachusetts at Boston
Sebastián-Gallés, N. & Bosch, L. (2009) Developmental shift in the discrimination of vowel contrasts in bilingual infants: is the distributional account.
Measuring Cognitive Distraction in the Vehicle David Strayer University of Utah.
LOGO Preface to the Special Section on Driver Distraction Professor: Liu Student: Ruby.
Evaluating Effectiveness of Partitioning Complex Visual Displays on In-Vehicle Glance Behavior Momoha Takahashi 1,4, Ceyda D ü ndar 2,4, Yusuke Yamani.
Change blindness and time to consciousness Professor: Liu Student: Ruby.
Cognitive demands of hands-free- phone conversation while driving Professor : Liu Student: Ruby.
LOGO Factors influencing the use of cellular (mobile) phone during driving and hazards while using it Leena Pöysti, Sirpa Rajalin, Heikki Summala Accident.
LOGO A review of individual differences in field dependence as a factor in auto safety Professor: Liu Student: Ruby.
Measuring Cognitive Distraction in the Vehicle David Strayer University of Utah.
Effects on driving behavior of congestion information and of scale of in-vehicle navigation systems Author: Shiaw-Tsyr Uang, Sheue-Ling Hwang Transportation.
1 Perception and VR MONT 104S, Fall 2008 Session 13 Visual Attention.
AGE-RELATED EFFECTS ON DRIVING AGING, DRIVING AND CONVERSATION Are age-related differences in driving performance present when driver is engaged in a conversation?
Logo Add Your Company Slogan A field evaluation of driver eye and head movement strategies toward environmental targets and distracters Professor: Liu.
Methods Inhibition of Return was used as a marker of attention capture.  After attention goes to a location it is inhibited from returning later. Results.
Cognitive Information Processing Dr. K. A. Korb University of Jos.
Field dependence and driver visual search behavior Professor: Liu Student: Ruby.
Change detection and occlusion modes in road-traffic scenarios Professor: Liu Student: Ruby.
1 Driver Distractions: The Ticking Time Bomb Lee Whitehead Director, DDC State Program Administration September 2007.
The Multi-Tasking Driver: Risks to Public Safety David Strayer Department of Psychology Center for the Prevention of Distracted Driving May 5,2010.
1 Computational Vision CSCI 363, Fall 2012 Lecture 36 Attention and Change Blindness (why you shouldn't text while driving)
Chapter 3 Identifying, Developing, and Managing Operant Antecedents.
Effect of a concurrent auditory task on visual search performance in a driving-related image-flicker task Professor: Liu Student: Ruby.
Company Logo Professor: Liu student: Ruby The role of working memory, field dependence, visual search, and reaction time in the left turn performance of.
Experimental Psychology PSY 433
On the Failure to Detect Changes in Scenes Across Brief Interruptions Professor: Liu Student: Ruby.
Gap acceptance and risk-taking by young and mature drivers, both sober and alcohol-intoxicated, in a simulated driving task Professor: Liu Student: Ruby.
Attention and Aging – Lecture 5 PS277  General Information Processing Model  Types of Attention Tasks, Aging and Performance  Theories of Aging and.
Age Differences in Visual Search for Traffic Signs During a Simulated Conversation 學生:董瑩蟬.
Visual Search Deficits in Williams Buren Syndrome Montfoort, I., Frens, M.A., Lagers- Van Haselen, G.C., & van der Geest, J.N.
A Review of “Iconic Memory Requires Attention” by Persuh, Genzer, & Melara (2012) By Richard Thripp EXP 6506 – University of Central Florida September.
Age related effects of restricted head movements on the useful field of view of drivers 學生:董瑩蟬.
Older Driver Failures of Attention at Intersections: Using Change Blindness Methods to Assess Turn Decision Accuracy Professor: Liu Student: Ruby.
An Eyetracking Analysis of the Effect of Prior Comparison on Analogical Mapping Catherine A. Clement, Eastern Kentucky University Carrie Harris, Tara Weatherholt,
LOGO Change blindness in the absence of a visual disruption Professor: Liu Student: Ruby.
Driver Distraction: A view from the simulator Frank Drews & David Strayer.
 Example: seeing a bird that is singing in a tree or miss a road sign in plain sight  Cell phone use while driving reduces attention and memory for.
Picture change during blinks: looking without seeing and seeing without looking Professor: Liu Student: Ruby.
Disrupting face biases in visual attention Anna S. Law, Liverpool John Moores University Stephen R. H. Langton, University of Stirling Introduction Method.
DO IN-VEHICLE ADVANCE SIGNS BENEFIT OLDER AND YOUNGER DRIVER INTERSECTION PERFORMANCE? Professor: Liu Student: Ruby.
Information Visualization “Ant-vision is humanity’s usual fate; but seeing the whole is every thinking person’s aspiration” - David Gelernter “Visualization.
Theory of Mind and Executive Functioning: Dual Task Studies Claire Conway, Rebecca Bull & Louise Phillips School of Psychology, University of Aberdeen,
Traffic scene related change blindness in older drivers Professor: Liu Student: Ruby.
Eye Movements and Working Memory Marc Pomplun Department of Computer Science University of Massachusetts at Boston Homepage:
Processing Faces with Emotional Expressions: Negative Faces Cause Greater Stroop Interference for Young and Older Adults Gabrielle Osborne 1, Deborah Burke.
Lab 2 Issues: Needed to adapt to the “normal environment”. We would have liked to see more rapid adjustment and a stable baseline. Most subjects adapted.
LOGO Visual Attention in Driving: The Effects of Cognitive Load and Visual Disruption Professor: Liu Student: Ruby.
Presentation transcript:

LOGO Conversation Disrupts Change Detection in Complex Traffic Scenes Professor: Liu Student: Ruby

Logo objective  To test the performance during hands- free cellular phone conversation of the visual performance in a change detection task.

Logo References  76% of pilot errors were attributable to failures of perception and attention. Endsley (1996)  Attentional lapses have been connected as an important cause of various forms of traffic error (Langham, Hole, Edwards, & O’Neil, 2002; Larsen & Kines, 2002).

Logo References  Attention is necessary for the perception of objects within a static scene (Mack & Rock, 1998) as well as for the detection of events within a scene (Pringle, Irwin, Kramer, & Atchley, 2001; Pringle, Kramer, & Irwin, 2004; Rensink, O’Regan, & Clark, 1997; Simons & Levin, 1997).  The effect of distraction in the change detection task might be to disrupt observers’ oculomotor scanning. Richard et al. (2002)

Logo References  Imposition of a cognitive loading task modified drivers’ fixation durations and altered oculomotor scan patterns in an on- road task. Nunes (2000)  Older adults often suffer greater dual-task interference than do young adults. (Alm & Nilsson, 1995; Hancock, Lesch, & Simmons, 2003; Kramer, Larish, Weber, & Bardell, 1999).

Logo Experiment 1  Participants 14 younger adults, mean age = 21.4 years. 14 older adults, mean age=68.4 years. Visual acuity of 20/40 or better. A driver’s license for at least 1 year prior to the date of testing.

Logo Experiment 1  Apparatus × cm flat screen display. An Applied Science Laboratories eye and head tracker (Model 501). 80 daytime pairs of photographs included urban and suburban traffic scenes as viewed from a driver’s vantage point. changes to the color, size, orientation, or location of an object and the addition or removal of an object to or from the depicted scene.

Logo Experiment 1

Logo Experiment 1  Procedure Observers completed 40 single-task trials involving only the change detection task and 40 dual-task trials requiring them to perform the change detection task during the conversing. Single- and dual-task trials were run in alternating blocks of 20,

Logo Experiment 1 - Results  Error rates A three-way interaction of Age × Salience × Task Load, F(1, 26) = , p =.001. For younger observers, the disruptive effects of conversation were greater for high- salience target objects, F(1, 13) = 5.193, p =.040. For older observers interference was marginally more pronounced with low salience targets, F(1, 13) = 4.588, p =.052.

Logo Experiment 1 - Results Target fixation rates showed highly significant main effects of target salience and meaningfulness, p <.001. A difficult-to-interpret four-way interaction of Age × Task Load × Salience × Meaningfulness, F(1, 26) = 7.358, p =.012.

Logo Experiment 1 - Results  Detection rates following target foveation were poorer in older adults than in younger adults, F(1, 26) = , p <.001.  Especially under dual-task conditions, F(1, 26) = , p =.002.

Logo Experiment 1 - Results Detection rates following target foveation were poorer in older adults than in younger adults, F(1, 26) = , p <.001. Especially under dual-task conditions, F(1, 26) = , p =.002. Three-way interaction of Age ×Task Load × Salience, F(1, 26) =13.331, p =.001.

Logo Experiment 1 - Results  RTs Three-way interaction of Task Load × Meaningfulness ×Age, F(1, 26) = 5.529, p =.027. Task load produced no main effect for either group, F(1, 13) = 1.965, p =.184 for younger participants and F < 1 for older participants.

Logo Experiment 1 - Results  For younger participants, changes to highly meaningful objects were detected more quickly than changes to less meaningful objects, F(1, 26) = , p <.001.  For older participants, RTs showed no main effect of meaningfulness, F < 1, but interaction of meaningfulness × Task Load, F(1, 13) = 0.987,p =.006.  Changes to highly meaningful objects were found faster than changes to less meaningful objects only under single-task conditions, t(13) = 2.936, p =.012, not during conversation, t(13) = –1.754, p =.103.

Logo Experiment 1 - Results  Fixation durations Fixations were briefer for older than for younger observers, F(1, 26) = 8.166, p =.008. Dual-task than under single-task conditions, F(1, 26) = , p <.001. Fixation durations also showed a tendency to decrease briefly at the onset of a trial and to increase gradually thereafter, F(24, 624) = 2.931, p <.001. F(1, 13) = , p <.007, indicating that larger numbers of eye movements were needed to detect the target during conversation than was the case otherwise.

Logo Experiment 1 - Results  Control analysis no interactions of Task Load × Change Eccentricity, ps >.250. no interactions of Age × Task Load × Eccentricity, ps >.150. These results indicate that the interactions of age, task load, and change meaningfulness/salience in the analyses reported thus far were not attributable to a potential confound of target eccentricity with target meaningfulness or salience.

Logo Experiment 1 - discussion  The cognitive workload imposed by casual conversation can hinder change detection.  For both age groups, conversation was a significant increase in the frequency of undetected changes, primarily attributable to lapses in the encoding of visual information within the course of a fixation.

Logo Experiment 1 - discussion  For younger, conversation produced an increase in the number of saccades necessary for change detection, independent of the salience and meaningfulness of the changing object.  For older, conversation led to no general increase in the number of eye movements needed to detect a change but did attenuate the benefits of object meaningfulness.

Logo Experiment 2  Participants 13 young adults, mean age = years. 13 older adults, mean age = years Visual acuity of 20/40 or better. A driver’s license for at least 1 year prior to the date of testing.

Logo Experiment 2  Apparatus Visual stimuli and displays were similar as the first experiment. Auditory stimuli were a series of tape- recorded conversations between a confederate and a younger or an older partner.

Logo Experiment 2  Procedure The procedure for the change detection task was identical to that of Experiment1. On dual-task trials, participants were asked to listen attentively to a tape-recorded conversation that was played as they performed the change detection task.

Logo Experiment 2 – results & discussion  Posttest attentive listening accuracy Mean accuracy 70.46% for younger observers (range = 61%– 83%) % for older observers (range = 31%– 83%). These values were significantly different, t(23) = 2.23, p =.036

Logo Experiment 2 – results & discussion  Error rates and RTs Main effects of age, object salience, and object meaningfulness were significant in both dependent variables, p >.001. Mean error rate was 10.07% under single-task conditions and 10.27% under dual task conditions. Mean RT was s under single-task conditions and s under dual-task conditions.

Logo Experiment 2 – results & discussion  Fixation durations main effect of temporal position, F(24, 552) = 4.562, p <.001. In contrast to the first experiment, no main effect of age, F(1, 23) = 1.899, p =.181. The attentive listening task in Experiment 2 did little to disrupt visual change detection.

Logo General discussion  In Experiment 1 For both age groups, conversation produced: An increase in error rates, A driving up the frequency with which observers failed to detect changes A decrease in oculomotor fixation durations.

Logo General discussion - Oculomotor Scanning and Visual Encoding  Experiment 2 Found no similar effects from a secondary task. The interference observed in Experiment 1 was largely the result of the demand that the observers actually be engaged in conversation.

Logo General discussion - Oculomotor Scanning and Visual Encoding  Scanning is not immune to the distracting effects of conversation. For younger participants, more saccades were necessary to detect a change on each trial under dual-task conditions than under single- task conditions. For older participants, the average number of saccades per trial needed to notice a changing item was similar under both the dual-task and single-task conditions. For both age groups, the efficiency of oculomotor search was impaired during conversation.

Logo General discussion - Oculomotor Scanning and Visual Encoding  Change detection might thus have been degraded in the dual-task conditions of Experiment 1 in part. Because the abbreviated fixation durations that obtained during conversation allowed too little time for the adequate encoding of foveated visual information and/or peripheral analysis of potential saccade targets. When fixation durations were shorter, the stimulus flipping from one image to the next during the course of a dwell on the target region would have been lower.

Logo General discussion - Oculomotor Scanning and Visual Encoding  One effect of conversation on oculomotor behavior may be to induce a shorter than optimal saccade deadline. Perhaps demonstrating a failure of operators to adequately monitor the success of their own cognitive processes and adjust their processing strategies accordingly.  Visual processing of foveated information was poorer during hands free cellular phone conversations than during single-task conditions even after controlling for differences in fixation duration. Strayer et al. (2003)

Logo General discussion – Age-Related Changes  younger participants’ error rates to show greater dual-task costs in the detection of low-salience targets.  older participants showed greater costs in the detection of high-salience targets. Older adults attempted to protect their performance with the difficult-to-detect low- salience targets at the expense of performance on the high salience targets.

Logo General discussion – Age-Related Changes  older participants apparently lapsed in their ability to rapidly orient attention toward the meaningful aspects of a scene and away from less meaningful aspects. Older adults may be less efficient than young adults in exploiting target meaningfulness during visual search of natural scenes. Older adults may experience a selective loss of their capacity for top-down or knowledge guided search.