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In-car interaction using search-based user interfaces

Authors:

Gerhard RigollAuthors Info & Claims

CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1685 - 1688

https://doi.org/10.1145/1357054.1357317

Published: 06 April 2008 Publication History

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Abstract

Increasing functionality, growing media volumes and dynamic data in today's in-vehicle information systems bear new challenges for user interaction design. Traditional hierarchical and menu-based interaction can only provide limited support while new search-based approaches are promising. In this work we assess different search techniques and search-based user interfaces. In particular we compare free search across all data items with categorized search. Our experiments with functional prototypes show that free search is more efficient and easier to use than searching within categories. Tests in a driving simulator show promising results regarding safety and workload. Means for alphanumeric input appear to be essential for an efficient and safe search interaction while driving.

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Cited By

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Wang WYou FLi YFeuerstack SWang J(2022)The Influence of Spatio-temporal Based Human-Machine Interface Design on Driver Workload - A Case Study of Adaptive Cruise Control Using in Cutting-in Scenarios2022 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII52469.2022.9708771(155-160)Online publication date: 9-Jan-2022
https://doi.org/10.1109/SII52469.2022.9708771
Santucci G(2018)Mobile InterfacesEncyclopedia of Database Systems10.1007/978-1-4614-8265-9_219(2273-2277)Online publication date: 7-Dec-2018
https://doi.org/10.1007/978-1-4614-8265-9_219
Maiti ASingh RChandra RShukla H(2017)QUEST: Search-Driven Management of Cloud-Scale Data Centers2017 IEEE International Conference on Cloud Engineering (IC2E)10.1109/IC2E.2017.37(175-182)Online publication date: Apr-2017
https://doi.org/10.1109/IC2E.2017.37
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In-car interaction using search-based user interfaces

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Reviews

Reviewer: Arthur E. Salwin

In-vehicle information systems are becoming increasingly prevalent in cars. In addition to the usual issues associated with designing a user interface, these devices must be designed in such a way that they do not compromise driving safety. Most such devices are based on a hierarchical menu-based system. This paper explores two search-based interaction techniques as alternatives to the menu-based approach. The first alternative is quick search (similar to the Google search engine) across all items in the database. The second alternative is categorical search that constrains searches to predefined categories and subcategories. Graf et al. perform a variety of experiments to test the alternative approaches. First, they measure computer response time across databases of various sizes. Then, they build prototype devices and use them to measure how much visual distraction they impose on users, as high visual distraction is a safety hazard. Finally, a driving simulator is used to quantitatively address subjects' driving performance while operating an in-vehicle information system. The overall conclusion of the paper is that both quick search and categorical search provide satisfactory performance, with a slight preference for the quick search alternative. The paper is generally well written, providing a straightforward description of how the studies are performed. The one exception is the description of occlusion tests to measure visual distraction. This section of the paper is opaque, even to an experienced human-factors expert. However, it does not detract from the overall conclusions or from the solid technical approach that employs a variety of experiments to test the alternatives. The findings about the advisability of moving away from hierarchical menu-based systems is consistent with research elsewhere, such as the approaches used in some of the in-flight entertainment systems available to airline passengers. Online Computing Reviews Service

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Published In

CHI '08: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2008

1870 pages

ISBN:9781605580111

DOI:10.1145/1357054

General Chairs:
Mary Czerwinski
Microsoft Research, USA
,
Arnie Lund
Microsoft, USA
,
Program Chair:
Desney Tan
Microsoft Research, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 April 2008

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CHI '08: CHI Conference on Human Factors in Computing Systems

April 5 - 10, 2008

Florence, Italy

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CHI '08 Paper Acceptance Rate 157 of 714 submissions, 22%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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Wang WYou FLi YFeuerstack SWang J(2022)The Influence of Spatio-temporal Based Human-Machine Interface Design on Driver Workload - A Case Study of Adaptive Cruise Control Using in Cutting-in Scenarios2022 IEEE/SICE International Symposium on System Integration (SII)10.1109/SII52469.2022.9708771(155-160)Online publication date: 9-Jan-2022
https://doi.org/10.1109/SII52469.2022.9708771
Santucci G(2018)Mobile InterfacesEncyclopedia of Database Systems10.1007/978-1-4614-8265-9_219(2273-2277)Online publication date: 7-Dec-2018
https://doi.org/10.1007/978-1-4614-8265-9_219
Maiti ASingh RChandra RShukla H(2017)QUEST: Search-Driven Management of Cloud-Scale Data Centers2017 IEEE International Conference on Cloud Engineering (IC2E)10.1109/IC2E.2017.37(175-182)Online publication date: Apr-2017
https://doi.org/10.1109/IC2E.2017.37
Miura TYabu KTanaka KOzawa HFurukawa MMichiyoshi SYamamoto TUeda KIfukube TGreen PBoll SGabbard JOsswald SBurnett GBorojeni SLöcken APradhan A(2016)Visuospatial Workload Measurement of an Interface Based on a Dual Task of Visual Working Memory TestProceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3003715.3005460(9-17)Online publication date: 24-Oct-2016
https://dl.acm.org/doi/10.1145/3003715.3005460
Sheik-Nainar MHuber JBose RMatic NKaye JDruin ALampe CMorris DHourcade J(2016)Force-enabled TouchPad in CarsProceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2851581.2892390(2697-2704)Online publication date: 7-May-2016
https://dl.acm.org/doi/10.1145/2851581.2892390
Santucci G(2016)Mobile InterfacesEncyclopedia of Database Systems10.1007/978-1-4899-7993-3_219-2(1-5)Online publication date: 13-Dec-2016
https://doi.org/10.1007/978-1-4899-7993-3_219-2
Lundström ABogdan CKis FOlsson IFahlén LKonstan JChi EHöök K(2012)EVERTCHI '12 Extended Abstracts on Human Factors in Computing Systems10.1145/2212776.2223766(2141-2146)Online publication date: 5-May-2012
https://dl.acm.org/doi/10.1145/2212776.2223766
Riener AWintersberger PTscheligi M(2011)Natural, intuitive finger based input as substitution for traditional vehicle controlProceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/2381416.2381442(159-166)Online publication date: 30-Nov-2011
https://dl.acm.org/doi/10.1145/2381416.2381442
Weinberg GHarsham BForlines CMedenica Zde Sá MCarriço LCorreia N(2010)Contextual push-to-talkProceedings of the 12th international conference on Human computer interaction with mobile devices and services10.1145/1851600.1851621(113-122)Online publication date: 7-Sep-2010
https://dl.acm.org/doi/10.1145/1851600.1851621
Wessel GZiemkiewicz CChang RSauda E(2010)GPS and road map navigationProceedings of the International Conference on Advanced Visual Interfaces10.1145/1842993.1843030(207-214)Online publication date: 26-May-2010
https://dl.acm.org/doi/10.1145/1842993.1843030
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Abstract

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Recommendations

In-Car Touch Screen Interaction: Comparing Standard, Finger-Specific and Multi-Finger Interaction

Common Interaction Schemes for In-Vehicle User-Interfaces

User interaction with novel web search interfaces

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