Development and Evaluation of an Assistive In-Vehicle System for Responding to Anxiety in Smart Vehicles

The integration of automated vehicle technology into our transportation infrastructure is ongoing, yet the precise timeline for the introduction of fully automated vehicles remains ambiguous. This technological transition necessitates the creation of in-vehicle displays tailored to emergent user needs and concerns. Notably, driving-induced anxiety, already a concern, is projected to assume greater significance in this context, although it remains inadequately researched. This dissertation sought to delve into the phenomenon of anxiety in driving, assess its implications in future transportation modalities, elucidate design considerations for distinct demographics like the youth and elderly, and design and evaluate an affective in-vehicle system to alleviate anxiety in automated driving through four studies. The first study involved two workshops with automotive experts, who underscored anxiety as pivotal to sustaining trust and system acceptance. The second study was a qualitative focus group analysis incorporating both young and older drivers, aiming to distill anxiety-inducing scenarios in automated driving and pinpoint potential intervention strategies and feedback modalities. This was followed by two driving simulator evaluations. The third study was observational, seeking to discern correlations among personality attributes, anxiety, and trust in automated driving systems. The fourth study employed cognitive reappraisal for anxiety reduction in automated driving. Analysis indicated the efficacy of the empathic interface leveraging cognitive reappraisal as an effective anxiety amelioration tool. Particularly in the self-efficacy reappraisal context, this influence influenced trust, user experience, and anxiety markers. Cumulatively, this dissertation provides key design guidelines for anxiety mitigation in automated driving, and highlights design elements pivotal to augmenting user experiences in scenarios where drivers relinquish vehicular control.

Name thesis:degree_name

Doctor of Philosophy

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Industrial and Systems Engineering

Department dc:contributor.department

Industrial and Systems Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2023

Author dc:creator

• Nadri, Chihab

Chair dc:contributor.committeechair

• Jeon, Myounghoon

Committee members dc:contributor.committeemember

• Patrick, Rafael
• Baldwin, Carryl L.
• Gabbard, Joseph L.
• Antin, Jonathan F.

• Assistive technology
• in-vehicle system
• affective user interface
• car assistant
• older adults
• anxiety
• automated vehicles
• empathic user interfaces
• human-computer interaction
• communication and interaction

Statement dc:rights

• Creative Commons Attribution 4.0 International

Licence dc:rights.uri

• http://creativecommons.org/licenses/by/4.0/

Language dc:language.iso

en

Dc Identifier Other

vt_gsexam:38483

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/116508