Attention Grounding: A New Approach to IVIS Implementation Emily Wiese Cognitive Systems Lab Department of Mechanical and Industrial Engineering University.

Slides:



Advertisements
Similar presentations
Some Reflections on Augmented Cognition Eric Horvitz ISAT & Microsoft Research November 2000 Some Reflections on Augmented Cognition Eric Horvitz ISAT.
Advertisements

SIP/2012/ASBU/Nairobi-WP/19
How to Achieve an Ergonomic Computer Workstation
Chia Wei Ensar Becic Christopher Edwards HumanFIRST Program Department of Engineering University of Minnesota.
Field Operational Tests in 7FP Fabrizio Minarini Head of Sector DG INFSO - ICT for transport.
State of Indiana Business One Stop (BOS) Program Roadmap Updated June 6, 2013 RFI ATTACHMENT D.
Breakout session B questions. Research directions/areas Multi-modal perception cognition and interaction Learning, adaptation and imitation Design and.
Some questions o What are the appropriate control philosophies for Complex Manufacturing systems? Why????Holonic Manufacturing system o Is Object -Oriented.
Good Drivers Just Driving! Driving and Mobile Phone BUILDING EFFICIENCY MIDDLE EAST AUGUST 2010.
Integrated Vehicle-Based Safety Systems (IVBSS): Crash Warning Integration Challenges Jim Sayer, Ph.D. University of Michigan Transportation Research Institute.
Chapter 1 You are the driver
At What Cost Pervasive? A social computing view of mobile computing systems By: D.C.Dryer, C. Eisbach, and W.S. Ark IBM Systems Journal, online Presentation.
Matthew Smith Results of the SAVE-IT Program Matthew R Smith Gerald J Witt Debi L. Bakowski May 13, 2008.
Implementing ERTMS in the UK: Human Factors Implications for Train Drivers Derek Porter Human Factors Skill Leader AEA Technology Rail.
International Journal of Industrial Ergonomics 35 (2005) 939–953 Situation awareness and workload in driving while using adaptive cruise control and a.
IntelliDrive Safety Workshop July 20, 2010 Alrik L. Svenson US Department of Transportation National Highway Traffic Safety Administration IntelliDrive.
Design Activities in Usability Engineering laura leventhal and julie barnes.
  
Human Factors Research Issues for Cooperative Intersection Collision Avoidance Systems (CICAS) Vicki Neale, Ph.D. Director, Center for Vehicle-Infrastructure.
CRASH IMMINENT SAFETY: A TIER 1 UNIVERSITY TRANSPORTATION CENTER PROFESSOR UMIT OZGUNER TRC INC. CHAIR ON INTELLIGENT TRANSPORTATION SYSTEMS DIRECTOR,
Drive Right You are the Driver
Cooperative Intersection Collision Avoidance Systems Initiative May 2005, ITS America Annual Meeting Mike Schagrin ITS Joint Program Office U.S. Department.
Collision Warning Design1 Collision Warning Design To Mitigate Driver Distraction (CHI 2004) Andrew Muller & Eugene Khokhlov.
The Driver and Pedestrian Distraction Challenge Diane Wigle Safety Countermeasures Division National Highway Traffic Safety Administration (NHTSA) April.
Human Interaction with Intelligent Transportation Systems Committee Meeting 3 – August 24, 2011.
November 12, 2014 St. Louis, Missouri OPTN Strategic Planning Feedback Board of Directors.
Intelligent Transportation System (ITS) ISYM 540 Current Topics in Information System Management Anas Hardan.
1 Paul Pisano FHWA, Team Leader Road Weather & Work Zone Management Weather and the Connected Vehicle Presentation at the Connected Vehicle Program Public.
1 Development and Evaluation of Selected Mobility Applications for VII (a.k.a. IntelliDrive) Steven E. Shladover, Sc.D. California PATH Program Institute.
Safety Stand Down Toolbox Talk – Cellphone Use While Driving
Bringing intelligent systems to the market: the new European research challenge of Field Operational Tests Fabrizio Minarini Head of Sector ICT for Transport.
Transportation Active Safety Institute TASI: Our Focus on the Human Machine Interface 25 January 2007 Purdue School of Engineering & Technology, IUPUI.
Opportunities for ATSSA in ITS Mike Schagrin ITS Joint Program Office US Department of Transportion.
Institute for Transport Studies FACULTY OF ENVIRONMENT Human Factors Natasha Merat Associate Professor Institute for Transport Studies University of Leeds.
Mike Schagrin US Department of Transportation ITS Joint Program Office IntelliDrive Safety Program Overview.
The Fully Networked Car Geneva, 4-5 March Ubiquitous connectivity to improve urban mobility Hermann Meyer ERTICO.
Situational Awareness Numerous aircraft and operational displays, when combined with effective and efficient communications and facilities, provide Air.
Human Supervisory Control Issues in Unmanned Vehicle Operations
IntelliDriveSM Update
Potential Consequences of an Executive Order vs. Sample Law to Ban Texting Greg Fitch, Ph.D. Senior Research Associate Virginia Tech Transportation Institute.
Integrating Trust and Driver’s Safety By Robin Mitchell.
Chapter 13: Stress and workload
IHRA-ITS UN-ECE WP.29 ITS Informal Group Geneva, March, 2011 Design Principles for Advanced Driver Assistance Systems: Keeping Drivers In-the-Loop Transmitted.
LESSON 3. Properties of Well-Engineered Software The attributes or properties of a software product are characteristics displayed by the product once.
Research Elements of Integrated Vehicle Based Safety Systems Jack Ference, IVBSS Technical Manager ITS America Annual Meeting May, 2005.
IntelliDrive Safety Workshop July 20, 2010 Stephanie C. Binder National Highway Traffic Safety Administration US Department of Transportation Human Factors.
Texting and Driving Statistics.
Click to edit Master title style Click to edit Master text styles Second level TOOLBOX TALK MANAGING AIRSIDE SAFETY.
Driver-Vehicle Interface Design Principles Chris Monk September 24, 2013.
Using Technology to Prevent & Reduce Distraction Webinar for ITSA – HMI Working Group ( ) Adapted from A Presentation To The USDOT’s Distracted Driving.
A LongROAD Study December 2015 Keeping Older Adults Driving Safely: A Research Synthesis of Advanced In- Vehicle Technologies.
Promoting Social Emotional Competence Individualized Intensive Interventions: Prevention Strategies 1.
Session 161 National Incident Management Systems Session 16 Slide Deck.
Evaluation of ITS applications on the Køge Bugt Motorway, Denmark Jens Toft Wendelboe Technical Consultant Traffic Management Department Danish Road Directorate.
Driver Distraction: A view from the simulator Frank Drews & David Strayer.
Ergonomics/Human Integrated Systems (Project 02)
SAVE-IT SAfety VEhicles using adaptive Interface Technology Phase 1 Research Program Quarterly Program Review Task 4: Distraction Mitigation John D. Lee.
You are the Driver NV Driver Education Curriculum Unit 1: Driver Responsibility and Licensing Presentation 2 of 2 1.
1 Warning Timing, Driver Distraction, and Driver Response to Imminent Rear-End Collisions review of some research literature referred to in the ITS guidelines.
EUCAR IST Workshop 23 May Active Safety Vehicle Systems and HMI. Topics in need of a Holistic Approach for Integrated Solutions Ulf Palmquist EUCAR.
® National Safety Council White Paper. nsc.org Motor Vehicle Crashes No. 1 cause of death for 3- to 34-year- olds An estimated 39,000 to 46,000 people.
Special Topics on HMI and Behavioural Aspects Anabela Simões Universidqde Técnica de Lisboa FMH.
Intelligent and Non-Intelligent Transportation Systems 32 Foundations of Technology Standard 18 Students will develop an understanding of and be able to.
Impacts of implementation of 4PM Vesna Kobal, Arctur d.o.o. Rijeka, april 2014.
DISTRACTED DRIVING. Overview: distracted driving > What is distracted driving? > What are the characteristics of distracted driving? > Attitudes and Concerns.
Cell Phones and Driving
FF-ICE A CONCEPT TO SUPPORT THE ATM SYSTEM OF THE FUTURE
SIP/2012/ASBU/Nairobi-WP/19
Response Time (Reaction time)
Industry, Regulation and Research: Coming Together for Safer Vehicles
Presentation transcript:

Attention Grounding: A New Approach to IVIS Implementation Emily Wiese Cognitive Systems Lab Department of Mechanical and Industrial Engineering University of Iowa

Human Computer Interaction Specialty Report, November 1, 2002 In-Vehicle Information System (IVIS) n Computing Anytime, Anywhere Functions include: Cellular telephones, navigation systems, collision avoidance systems n Est. $13 billion business by 2006 n Improve productivity, satisfaction, and safety n Distraction Potential Traffic accidents cause 42,000 deaths and $150 billion in costs each year 13% and 50% percent of crashes attributed to driver distraction; 10,000 lives lost; $40 billion in damages each year

Human Computer Interaction Specialty Report, November 1, 2002 Implementing IVIS Functions

Human Computer Interaction Specialty Report, November 1, 2002 Interference Mitigation n Direct Communication Commands associated with specific tasks n Physical Integration Only IVIS functions may share the same interface or location, but do not share information n Static Interference Minimization Distraction assessment focuses on structural distraction, resulting in locked-out functions Does not consider how driving demands change over time

Human Computer Interaction Specialty Report, November 1, 2002 Workload Management n Direct Communication Commands associated with specific tasks n Functional Integration (FI) With Direct Communication FI considers the information required and produced by each function to support communication between the driver, the IVIS, and the roadway n IVIS-Centered Workload Management Dynamically predicts how workload will respond to changes in the driving task and use of the IVIS IVIS actively adjusts functionality by estimating the demands of the current roadway and IVIS states. Considers mental overload as the only source of distraction and overlooks the issues of cognitive tunneling and attentional withdrawal

Human Computer Interaction Specialty Report, November 1, 2002 Challenges facing IVIS Implementation n How can IVIS functionality be made safer and easier to use, without succumbing to the usability paradox and resulting in decreased overall roadway safety? 1. What factors affect a driver’s willingness to engage in IVIS interactions? 2. What are the consequences of error recovery in speech recognition systems on driver performance? 3. How do we guide drivers to avoid inappropriate reliance on speed control and collision warnings functions? 4. How do we implement collision warning functions such that the rate of false alarms will not undermine driver acceptance? n The interference mitigation and workload manager approaches have not addressed these issues

Human Computer Interaction Specialty Report, November 1, 2002 Attention Grounding n Collaborative Grounding n Functional Integration with Back-Channel Communication n Driver-Centered Attention Distribution

Human Computer Interaction Specialty Report, November 1, 2002 Collaborative Grounding n Incorporates back-channel cues to allow us to establish grounding without disrupting the flow of conversation: creates a Shared Context n Collaborative Grounding supports: Initiating communication Delays in communication Driver attention distribution Information coordination Understanding uncertainty in IVIS communication Making Repairs

Human Computer Interaction Specialty Report, November 1, 2002 Functional Integration with Back-Channel Communication n Allows for more complete driver monitoring n The shared context created by back-channel communication and collaborative grounding can extend the benefits of functional integration

Human Computer Interaction Specialty Report, November 1, 2002 Driver-Centered Attention Distribution n Uses shared context to consider the evolving driving situation in distributing attention (vs. exceeding a pool of resources) n Back-channel cues can be used to help distribute the driver’s attention appropriately

Human Computer Interaction Specialty Report, November 1, 2002 Collaborative communication: Direct and back-channel communication in driving

Human Computer Interaction Specialty Report, November 1, 2002 Challenges facing IVIS Implementation What factors affect a driver’s willingness to engage in IVIS interactions? AG supports the driver as an active participant in choosing when and how IVIS functions are used. What are the consequences of error recovery in speech recognition systems on driver performance? Grounding in the state of IVIS can support error recovery and promote more fluent speech interaction. How do we guide drivers to avoid inappropriate reliance on speed control and collision warnings functions? Grounding in the state of automation may help avoid inappropriate reliance. How do we implement collision warning functions such that the rate of false alarms will not undermine driver acceptance? Back-channel cues can provide drivers with continuous information that may be less annoying than discrete alerts.