[2201.06451] Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Human-Computer Interaction arXiv:2201.06451 (cs) [Submitted on 17 Jan 2022 ( v1 ), last revised 24 Apr 2026 (this version, v2)] Title: Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object Authors: Jaehoon Pyun , Younggeol Cho , Seon Gyeom Kim , Woohun Lee , Donghyeon Ko View a PDF of the paper titled Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object, by Jaehoon Pyun and 3 other authors View PDF HTML (experimental) Abstract: As In-Vehicle Infotainment Systems (IVIS) grow in complexity, selecting external points of interest (POIs) using traditional touchscreens significantly increases driver cognitive load. Recent evidence indicates that this visual-motor overload induces dangerous "hand-before-eye" behaviors, degrading primary driving tasks. To address this, we propose Point and Select, a novel in-vehicle interaction paradigm that introduces temporal decoupling to spatial gestures. By dividing the interaction into a rapid, ballistic spatial anchoring phase ("Rough Pointing") and a deferred, tactile confirmation phase ("Fine Selection"), our design aligns with the driver's cognitive-motor sequence. We evaluated this temporally decoupled approach in a high-fidelity driving simulator under urban speed conditions. Results indicate that Point and Select effectively minimizes perceived cognitive workload while seamlessly maintaining primary driving performance. This study demonstrates that decoupling spatial identification from confirmation successfully mitigates cognitive friction, offering a safer behavioral design strategy for non-autonomous driving environments. Comments: 14 pages Subjects: Human-Computer Interaction (cs.HC) ACM classes: H.5.2 Cite as: arXiv:2201.06451 [cs.HC] (or arXiv:2201.06451v2 [cs.HC] for this version) https://doi.org/10.48550/arXiv.2201.06451 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Younggeol Cho [ view email ] [v1] Mon, 17 Jan 2022 15:07:48 UTC (2,615 KB) [v2] Fri, 24 Apr 2026 14:26:41 UTC (1,891 KB) Full-text links: Access Paper: View a PDF of the paper titled Designing and Evaluating In-Vehicle Temporal Decoupling Pointing System for Selecting External Object, by Jaehoon Pyun and 3 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.HC < prev | next > new | recent | 2022-01 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar DBLP - CS Bibliography listing | bibtex export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from