Federal Highway Research Institute Evaluation of the Tactile Detection Response Task (TDRT) in a laboratory test using a surrogate driving set-up Roland.

Slides:



Advertisements
Similar presentations
Steven Browne, O.T. Reg. (N.B.) Brad Holley, O.T.Reg. (N.B.)
Advertisements

Evaluating the Effect of Neighborhood Size on Chinese Word Naming and Lexical Decision Meng-Feng Li 1, Jei-Tun WU 1*, Wei-Chun Lin 1 and Fu-Ling Yang 1.
Experimental Psychology PSY 433 Chapter 10 Memory.
Comparison of Spatial and Temporal Discrimination Performance across Various Difficulty Levels J.E. THROPP, J.L. SZALMA, & P.A. HANCOCK Department of Psychology.
Cross-Platform Simulation Needs for Novice (and other) Drivers TRB Workshop on “Development of Standardized Descriptions of Driving Simulator Scenarios:
Chapter 6: Visual Attention. Scanning a Scene Visual scanning – looking from place to place –Fixation –Saccadic eye movement Overt attention involves.
To delegate or not to delegate: A human factors perspective of autonomous driving Dale Richards, Coventry University Presentation to: European Conference.
Haptic Signals for Communication under Workload In a primarily visual task, haptic signals can be more resistant to large cognitive workloads than visual.
Experiment Design On Interacting with Mobile Devices.
QUASID – Measuring Interaction Techniques Karin Nieuwenhuizen.
Copyright 2008 by User Interface Lab Industrial Engineering Dept. of Industrial Systems & Information Engineering Korea University Serial Modules in Parallel.
1 User Centered Design and Evaluation. 2 Overview Why involve users at all? What is a user-centered approach? Evaluation strategies Examples from “Snap-Together.
1 User Centered Design and Evaluation. 2 Overview My evaluation experience Why involve users at all? What is a user-centered approach? Evaluation strategies.
Use of Aerial Views in Remote Ground Vehicle Operations Roger A. Chadwick New Mexico State University Department of Psychology Douglas J. Gillan (PI)
The Effects of Text Messaging On the Driving Performance of Young Novice Drivers MUARC: Kristie Young, Simon Hosking & Michael Regan NRMA Motoring & Services:
USE OF VISUAL OCCLUSION TO ASSESS IN-VEHICLE HMI Dean P. Chiang Dynamic Research, Inc., Torrance, CA 22 May 2003 ITS America Annual Meeting, Minneapolis.
ETSC Best in Europe Conference 2006 Changing Human Machine Interfaces Towards the development of a testing regime Samantha Jamson University of Leeds.
1 Shengdong Zhao Department of Computer Science University of Toronto July 9, 2008 earPod: Efficient, Hierarchical, Eyes-free Menu Selection.
Collision Warning Design1 Collision Warning Design To Mitigate Driver Distraction (CHI 2004) Andrew Muller & Eugene Khokhlov.
JIBO HE, JASON S. MCCARLEY
Effects of practice, age, and task demands, on interference from a phone task while driving Author: David Shinar, Noam Tractinsky, Richard Compton Accident.
U SER I NTERFACE L ABORATORY Introduction  variations in the efficiency with which time-sharing can be carried out 1.the concept of processing resources.
"Theoretical and Experimental Approaches to Auditory and Visual Attention" Cold Spring Harbor April 20, 2008 Ervin Hafter and Anne-Marie Bonnel Department.
Change blindness and time to consciousness Professor: Liu Student: Ruby.
Introduction ANOVA Mike Tucker School of Psychology B209 Portland Square University of Plymouth Drake Circus Plymouth, PL4 8AA Tel: +44 (0)
Cognitive demands of hands-free- phone conversation while driving Professor : Liu Student: Ruby.
Effects on driving behavior of congestion information and of scale of in-vehicle navigation systems Author: Shiaw-Tsyr Uang, Sheue-Ling Hwang Transportation.
Volvo Technology Humans System Integration Volvo Technology Effects of visual and cognitive load on the Lane Change Test – preliminary results Johan Engström.
ICSE2006 Far East Experience Track Detecting Low Usability Web Pages using Quantitative Data of Users’ Behavior Noboru Nakamichi 1, Makoto Sakai 2, Kazuyuki.
AGE-RELATED EFFECTS ON DRIVING AGING, DRIVING AND CONVERSATION Are age-related differences in driving performance present when driver is engaged in a conversation?
1 Driving and Licensing Experiences of Learner Drivers in Queensland: Comparing pre-and post-July 2007 Presenter: Bridie Scott-Parker (PhD Candidate) Co-Authors.
Field dependence and driver visual search behavior Professor: Liu Student: Ruby.
Understanding Action Verbs- Embodied Verbal Semantics Approach Pavan Kumar Srungaram M.Phil Cognitive Science (09CCHL02) Supervisor: Prof. Bapi.
Neural mechanisms for timing visual events are spatially selective in real-world coordinates. David Burr, Arianna Tozzi, & Concetta Morrone.
SAVE-IT SAfety VEhicles using adaptive Interface Technology Phase 1 Research Program Quarterly Program Review Task 6: Telematics Task Leaders: Paul Green.
Acute effects of alcohol on neural correlates of episodic memory encoding Hedvig Söderlund, Cheryl L. Grady, Craig Easdon and Endel Tulving Sundeep Bhullar.
Lecture 4 – Attention 1 Three questions: What is attention? Are there different types of attention? What can we do with attention that we cannot do without.
The effects of captions on deaf students’contents comprehension, cognitive load and motivation in online contents 21 June 2010 Joong-O Yoon
Effect of a concurrent auditory task on visual search performance in a driving-related image-flicker task Professor: Liu Student: Ruby.
Comparison of manual vs. speech-based interaction with in-vehicle information systems Driving Behavior Simulation Lab Jannette Maciej ∗, Mark Vollrath.
1 Cross-language evidence for three factors in speech perception Sandra Anacleto uOttawa.
The effects of working memory load on negative priming in an N-back task Ewald Neumann Brain-Inspired Cognitive Systems (BICS) July, 2010.
Experimental Psychology PSY 433
Applicability of location compatibility to the arrangement of display and control in human – vehicle systems: Comparison between young and older adults.
Age Differences in Visual Search for Traffic Signs During a Simulated Conversation 學生:董瑩蟬.
1 ISE 412 ATTENTION!!! From page 147 of Wickens et al. ATTENTION RESOURCES.
Relationship between time orientation and individual characteristics Presenter: Tina Supervisor: Dr. Ravindra Goonetilleke.
REFERENCES Bargh, J. A., Gollwitzer, P. M., Lee-Chai, A., Barndollar, K., & Troetschel, R. (2001). The automated will: Nonconscious activation and pursuit.
Driver Attention for Information Display on Variable Message Signs with Graphics and Texts Chien-Jung Lai, Chi-Ying Wang National Chin-Yi University of.
Experimental Psychology PSY 433
Disrupting face biases in visual attention Anna S. Law, Liverpool John Moores University Stephen R. H. Langton, University of Stirling Introduction Method.
Introduction Ruth Adam & Uta Noppeney Max Planck Institute for Biological Cybernetics, Tübingen Scientific Aim Experimental.
GRAPPLING WITH DATA Variability in observations Sources of variability measurement error and reliability Visualizing the sample data Frequency distributions.
A Comparison of Methods for Estimating the Capacity of Visual Working Memory: Examination of Encoding Limitations Domagoj Švegar & Dražen Domijan
The role of visuo-spatial working memory in attention to eye gaze Anna S. Law, Liverpool John Moores University Stephen R. H. Langton, University of Stirling.
DIFFERENTIAL COMPONENTS OF PROSPECTIVE MEMORY? EVIDENCE FROM FMRI J. Simons, M. Scholvinck, S. Gilbert, C. Frith, P. Burgess By Alex Gustafson.
A Framework for Perceptual Studies in Photorealistic Augmented Reality Martin Knecht 1, Andreas Dünser 2, Christoph Traxler 1, Michael Wimmer 1 and Raphael.
Class Presentation An Ordering of Secondary Task Display Attributes David Tessendorf, Christa Chewar, Ali Ndiwalana, Jon Pryor CS5984: Information Visualization.
Experimental Design. Talking While Driving: Are Cell Phone Conversations Different from Passenger Conversations? Research Problems Talking on a cellphone.
Combination of Speech and Tangible Interfaces for Automotive Dialog Systems: An Experimental Study Margarita Pentcheva.
LOGO Visual Attention in Driving: The Effects of Cognitive Load and Visual Disruption Professor: Liu Student: Ruby.
Chapter 11: The Nuts and Bolts of one-factor experiments.
Effects of Oncoming Vehicle Size on Overtaking Judgments
The Effects of Musical Mood and Musical Arousal on Visual Attention
Impacts of workload on trust in imperfect automated systems
The involvement of visual and verbal representations in a quantitative and a qualitative visual change detection task. Laura Jenkins, and Dr Colin Hamilton.
Issues in measuring sensory-motor control performance of human drivers: The case of cognitive load and steering control Johan Engström, Volvo Technology.
Non-Intrusive Monitoring of Drowsiness Using Eye Movement and Blinking
Correlated-Groups and Single-Subject Designs
Quantitative Research
Presentation transcript:

Federal Highway Research Institute Evaluation of the Tactile Detection Response Task (TDRT) in a laboratory test using a surrogate driving set-up Roland Schindhelm and Eike Schmidt

Outline 1.Characteristics of the TDRT method 2.Background, research questions 3.Method, experimental design 4.Results 5.Conclusions European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt2

Characteristics of the TDRT TDRT is a method developed for the evaluation of information and control systems HMI (Engström et al., 2005). TDRT measures effects of secondary task load on driver attention. Main characteristics of the TDRT: Stimuli-response task Tactile stimuli presented by a vibrator fixed to the participants shoulder Stimulus duration 1 s, every 3 – 5 s Manual response by pressing a finger button European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt3

Background 1 tactile mode (TDRT) and 2 visual modes are included in the DRT method. Standardization of DRT method in progress (ISO/CD 17488). BASt is involved in coordinated international studies which aim at supporting the ISO Task Force in developing the DRT standard. Main research questions are related to –the use of DRT in different driving set-ups –difference in results obtained with the three DRT modes –sensitivity and specifity of the DRT modes European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt4

Research questions of the BASt study The BASt DRT study focuses on the Tactile DRT (TDRT). To what extent is the TDRT sensitive to systematic manipulation of task load for different types of tasks? How does the TDRT affect secondary task and primary task performance? Selection of Research questions from presentations given by Engström and Young, Yokohama Meeting 2012 European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt5

Method of the BASt study Laboratory test performed in July/August 2013 Subjects: 10 female, 12 male, age (M=41.7), licensed drivers Single-task and multiple-task scenarios derived from selected combinations of the following independent factors: –Type of primary task (visual, auditory tracking) –Type of secondary task (N-back Task, SuRT) –Task difficulty (easy, hard) –Use of TDRT (without, with) Within-subject design Order of task scenarios was counter-balanced across subjects Duration per trial: 60 sec. European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt6

Tasks, independent variables Driving task surrogate as a primary task: Continuous Tracking Task (semi-static) Manual control of the cursor via steering wheel 2 modalities of feeding back tracking deviation (visual, auditory) 2 difficulty levels (easy, hard) Easy Hard European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt7

Tasks, independent variables Secondary tasks: SuRT Visual search; manual control of the cursor via key pad 2 difficulty levels (easy, hard) N-Back task Auditory stimuli; cognitive processing; vocal response 2 difficulty levels (easy, hard) 0-Back1-Back Easy Hard European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt8 Easy Hard

Experimental set-up European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt9

Dependent variables, indicators TDRT: –mean response time –hit rate Tracking task: –root mean square deviation N-Back task: –percentage of correct answers SuRT: –mean response time European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt10

p <.01n.s. Secondary Task easy hard easy hard N-Back SuRT Primary Task easy hard easy hard Visual Tracking Aud. Tracking TDRT Tactile DRT TDRT response time in different task scenarios European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt11

Secondary Task hard N-backSuRT Primary Task easy hard easy hard Visual Tracking Auditory Tracking Effect of TDRT on primary task performance: - Tracking deviation European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt12

Secondary TaskSuRT, hard Primary TaskVisual Tracking, easy Effect of TDRT on secondary task performance: - SuRT response time European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt13

Secondary TaskN-back ( hard ) Primary TaskVisual Tracking ( easy ) Effect of TDRT on secondary task performance: - N-back percentage of correct answers European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt14

Conclusions/1 Sensitivity in triple-task scenarios: “Primary T. + Secondary T. + TDRT”  Sensitivity of TDRT to different load levels of cognitive secondary tasks could be confirmed (N-Back easy vs. hard).  TDRT seems to be not sensitive to load levels of secondary tasks which primarily demand for visual- manual resources (SuRT easy vs. hard).  TDRT is sensitive to secondary task types which vary in type of resource demands (cognitive vs. perceptual- motor) European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt15

Conclusions/2 Sensitivity in dual-task scenarios: “Primary T.+ TDRT”  TDRT seems to be not sensitive to load levels of the surrogate driving task (bendiness of the tracking path).  TDRT is sensitive to primary task types which vary in cognitive resource demands (auditory-cognitive-motor vs. visual-motor demands of tracking task). European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt16

Conclusions/3 Intrusiveness:  There are indications of the TDRT’s intrusiveness on primary task performance (tracking deviation).  No clear picture for intrusiveness of TDRT on secondary task performance. Intrusiveness of TDRT seems to depend on type of secondary task:  No intrusion on N-Back performance  Intrusion on SuRT performance European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt17

Conclusions/4 Further research recommended:  Interference between TDRT and secondary/primary task due to motor task demands.  Intrusiveness of TDRT on primary task and secondary task performance:  Comparative studies on degraded vs. normal task performance.  Limitations of applicability of TDRT (e.g. in on-road tests).  Sensitivity of TDRT to load levels of other secondary task types (generic tasks; real tasks) European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt18

Federal Highway Research Institute Thank you for your attention! European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt19

Back up European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt20

p <.01n.s. European Conference on Human Centred Design for ITS, June 2014, ViennaSchindhelm/Schmidt21 TDRT hit rate in different task scenarios Secondary Task easy hard easy hard N-Back SuRT Primary Task easy hard easy hard Visual Tracking Aud. Tracking TDRT Tactile DRT