Sage Journals: Discover world-class research

Abstract

Advanced Driver Assistance Systems (ADAS) provide safety and comfort while driving. However, to effectively use ADAS, it is necessary for users to have proper knowledge of the systems and to trust the system to operate safely. Providing knowledge about operational capabilities and limitations of a system may help improve drivers’ mental models and calibrate their trust resulting in proper use of ADAS. Traditionally system information is provided via the owner’s manual, which is known to be tedious and time-consuming and underscores the need for alternate training approaches. This study evaluates two training methods, Text-Based and System Visualization, to examine users’ perceptions of training and change in trust after training. Results show that although training did not affect users’ trust, a qualitative examination showed that users preferred the Text-Based method rather than the Visualization method.

Get full access to this article

View all access options for this article.

References

Beggiato

Krems

J. F.

(2013). The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information. Transportation research part F: traffic psychology and behaviour, 18, 47–57.

Forster

Hergeth

Naujoks

Krems

Keinath

(2019). User education in automated driving: Owner’s manual and interactive tutorial support mental model formation and human-automation interaction. Information, 10(4), 143.

Hoff

K. A.

Bashir

. (2015). Trust in automation: integrating empirical evidence on factors that influence trust. Human factors, 57(3), 407–434.

Inagaki

Toshiyuki

Itoh

Makoto

. (2013). Human’s Overtrust in and Overreliance on Advanced Driver Assistance Systems: A Theoretical Framework edited by K. Bengler. International Journal of Vehicular Technology 2013:951762.

Jenness

J. W.

Lerner

N. D.

Mazor

Osberg

J. S.

Tefft

B. C.

(2008). Use of advanced in-vehicle technology by young and older early adopters. Survey results on adaptive cruise control systems. Report no. DOT HS, 810, 917.

Jian

J. Y.

Bisantz

A. M.

Drury

C. G.

(2000). Foundations for an empirically determined scale of trust in automated systems. International journal of cognitive ergonomics, 4(1), 53–71.

Kazi

T. A.

Stanton

N. A.

Young

M. S.

Harrison

D. A.

(2005). Assessing drivers’ level of trust in Adaptive Cruise Control and their conceptual models of the system: implications for system design (pp. 132–142). Aldershot: Ashgate.

Lee

J. D.

Moray

(1994). Trust, self-confidence, and operators’ adaptation to automation. International journal of human-computer studies, 40(1), 153–184.

Lee

J. D.

See

K. A.

(2004). Trust in automation: Designing for appropriate reliance. Human factors, 46(1), 50–80.

10.

Lindgren

Chen

(2006). State of the art analysis: An overview of advanced driver assistance systems (ADAS) and possible human factors issues. Human factors and economics aspects on safety, 38, 50.

11.

McDonald

Carney

McGehee

D. V.

(2018). Vehicle Owners’ Experiences with and Reactions to Advanced Driver Assistance Systems. Washington, DC: AAA Foundation for Traffic Safety.

12.

McDonald

McGehee

Chrysler

Askelson

Angell

Seppelt

(2016). National Survey Identifying Gaps in Consumer Knowledge of Advanced Vehicle Safety Systems. Transportation Research Record: Journal of the Transportation Research Board, 2016. 2559: 1–6.

13.

Mehlenbacher

Wogalter

M. S.

Laughery

K. R.

(2002, September). On the reading of product owner’s manuals: Perceptions and product complexity. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 46, No. 6, pp. 730–734). Sage CA: Los Angeles, CA: SAGE Publications.

14.

Parasuraman

Riley

(1997). Humans and automation: Use, misuse, disuse, abuse. Human factors, 39(2), 230–253.

15.

Pradhan

A. K.

Pai

Radadiya

Knodler

M. A.

Jr Fitzpatrick

Horrey

W. J.

(2020). Proposed framework for identifying and predicting operator errors when using advanced vehicle technologies. Transportation research record, 2674(10), 105–113.

16.

Schacter

D. L.

(1999). The seven sins of memory: insights from psychology and cognitive neuroscience. American psychologist, 54(3), 182.

17.

Singer

Jenness

J. W.

(2020). Impact of Information on Consumer Understanding of a Partially Automated Driving System. Washington, D.C.: AAA Foundation for Traffic Safety.

Users’ Perception Of Training Approaches For Advanced Driver Assistance Systems (Adas)

Abstract

Get full access to this article

References