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Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log...

Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2109047296

Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log data: a case study for the lane keeping assistance system

About this item

Full title

Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log data: a case study for the lane keeping assistance system

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2019-04

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

Although the automotive industry has been among the sectors that best-understands the importance of drivers' affect, the focus of design and research in the automotive field has long emphasized the visceral aspects of exterior and interior design. With the adoption of Advanced Driver Assistance Systems (ADAS), endowing 'semi-autonomy' to the vehicl...

Alternative Titles

Full title

Modelling the Intrusive feelings of advanced driver assistance systems based on vehicle activity log data: a case study for the lane keeping assistance system

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2109047296

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2109047296

Other Identifiers

E-ISSN

2331-8422

DOI

10.48550/arxiv.1809.06535

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