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Assessing Cognitive Demand during Natural Language Interactions with a Digital Driving Assistant

Large, David R.; Burnett, Gary; Anyasodo, Ben; Skrypchuk, Lee

Authors

Gary Burnett

Ben Anyasodo

Lee Skrypchuk



Abstract

Given the proliferation of digital assistants in everyday mobile technology, it appears inevitable that next generation vehicles will be embodied by similar agents, offering engaging, natural language interactions. However, speech can be cognitively captivating. It is therefore important to understand the demand that such interfaces may place on drivers. Twenty-five participants undertook four drives (counterbalanced), in a medium-fidelity driving simulator: 1. Interacting with a state-of-the-art digital driving assistant ('DDA') (presented using Wizard-of-Oz); 2. Engaged in a hands-free mobile phone conversation; 3. Undertaking the delayed-digit recall ('2-back') task and 4. With no secondary task (baseline). Physiological arousal, subjective workload assessment, tactile detection task (TDT) and driving performance measures consistently revealed the '2-back' drive as the most cognitively demanding (highest workload, poorest TDT performance). Mobile phone and DDA conditions were largely equivalent, attracting low/medium cognitive workload. Findings are discussed in the context of designing in-vehicle natural language interfaces to mitigate cognitive demand.

Citation

Large, D. R., Burnett, G., Anyasodo, B., & Skrypchuk, L. (2016, October). Assessing Cognitive Demand during Natural Language Interactions with a Digital Driving Assistant. Presented at The 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI2016), Ann Arbor, MI, USA

Presentation Conference Type Edited Proceedings
Conference Name The 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI2016)
Start Date Oct 24, 2016
End Date Oct 26, 2016
Acceptance Date Oct 24, 2016
Publication Date Oct 24, 2016
Deposit Date May 9, 2019
Publisher Association for Computing Machinery (ACM)
Pages 67-74
Book Title Automotive'UI 16: Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
ISBN 9781450345330
DOI https://doi.org/10.1145/3003715.3005408
Public URL https://nottingham-repository.worktribe.com/output/2035572
Publisher URL https://dl.acm.org/citation.cfm?id=3005408