Abstract
Data saturation of satellite navigation systems (already a problem with location based services) will become particularly acute in the emerging area of networked electric vehicles (NEV). Sophisticated energy management and navigation software may solve a technology integration challenge, but it will leave unresolved the usability implications for drivers and fleet operators. These include navigation data specific to commercial electric vehicles; delivery scheduling, routes, times, traffic congestion avoidance, range & charge levels etc. Many are time dependent factors that complicate interaction with a map based navigation system. They also risk augmenting driver stress and distraction induced errors. This Paper has two objectives. Firstly we examine the problem of information saturation of navigation systems. Secondly we undertook a series of user tests to evaluate an alternative NEV navigation system. The DHS solution is a compressed data feed delivering "just in time" multimodal prompts embedded in the map route. The test results demonstrated improved driver comprehension and reduced driver glance away time from road to navigation system.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 156-166 |
| Number of pages | 11 |
| Volume | 6770 LNCS |
| Edition | PART 2 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 1st International Conference on Design, User Experience and Usability: Theory, Methods, Tools and Practice, DUXU 2011, Held as Part of 14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States Duration: Jul 9 2011 → Jul 14 2011 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Number | PART 2 |
| Volume | 6770 LNCS |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 1st International Conference on Design, User Experience and Usability: Theory, Methods, Tools and Practice, DUXU 2011, Held as Part of 14th International Conference on Human-Computer Interaction, HCI International 2011 |
|---|---|
| Country | United States |
| City | Orlando, FL |
| Period | 7/9/11 → 7/14/11 |
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ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Dynamic navigation system design for networked electric vehicles. / McKimm, Frazer; Galli, Manuela; Cimolin, Veronica.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6770 LNCS PART 2. ed. 2011. p. 156-166 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6770 LNCS, No. PART 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Dynamic navigation system design for networked electric vehicles
AU - McKimm, Frazer
AU - Galli, Manuela
AU - Cimolin, Veronica
PY - 2011
Y1 - 2011
N2 - Data saturation of satellite navigation systems (already a problem with location based services) will become particularly acute in the emerging area of networked electric vehicles (NEV). Sophisticated energy management and navigation software may solve a technology integration challenge, but it will leave unresolved the usability implications for drivers and fleet operators. These include navigation data specific to commercial electric vehicles; delivery scheduling, routes, times, traffic congestion avoidance, range & charge levels etc. Many are time dependent factors that complicate interaction with a map based navigation system. They also risk augmenting driver stress and distraction induced errors. This Paper has two objectives. Firstly we examine the problem of information saturation of navigation systems. Secondly we undertook a series of user tests to evaluate an alternative NEV navigation system. The DHS solution is a compressed data feed delivering "just in time" multimodal prompts embedded in the map route. The test results demonstrated improved driver comprehension and reduced driver glance away time from road to navigation system.
AB - Data saturation of satellite navigation systems (already a problem with location based services) will become particularly acute in the emerging area of networked electric vehicles (NEV). Sophisticated energy management and navigation software may solve a technology integration challenge, but it will leave unresolved the usability implications for drivers and fleet operators. These include navigation data specific to commercial electric vehicles; delivery scheduling, routes, times, traffic congestion avoidance, range & charge levels etc. Many are time dependent factors that complicate interaction with a map based navigation system. They also risk augmenting driver stress and distraction induced errors. This Paper has two objectives. Firstly we examine the problem of information saturation of navigation systems. Secondly we undertook a series of user tests to evaluate an alternative NEV navigation system. The DHS solution is a compressed data feed delivering "just in time" multimodal prompts embedded in the map route. The test results demonstrated improved driver comprehension and reduced driver glance away time from road to navigation system.
UR - http://www.scopus.com/inward/record.url?scp=79960493127&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960493127&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21708-1_19
DO - 10.1007/978-3-642-21708-1_19
M3 - Conference contribution
AN - SCOPUS:79960493127
SN - 9783642217074
VL - 6770 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 156
EP - 166
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -