| Item type |
SIG Technical Reports(1) |
| 公開日 |
2018-08-24 |
| タイトル |
|
|
タイトル |
Exploring Factors that Influence Connected Drivers to Not Follow Recommended Optimal Routes |
| タイトル |
|
|
言語 |
en |
|
タイトル |
Exploring Factors that Influence Connected Drivers to Not Follow Recommended Optimal Routes |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
ユーザ心理 |
| 資源タイプ |
|
|
資源タイプ識別子 |
http://purl.org/coar/resource_type/c_18gh |
|
資源タイプ |
technical report |
| 著者所属 |
|
|
|
Future University Hakodate／Center for Complexity and Emerging Technologies, De La Salle University／Presently with Future University Hakodate |
| 著者所属 |
|
|
|
Future University Hakodate |
| 著者所属(英) |
|
|
|
en |
|
|
Future University Hakodate / Center for Complexity and Emerging Technologies, De La Salle University / Presently with Future University Hakodate |
| 著者所属(英) |
|
|
|
en |
|
|
Future University Hakodate |
| 著者名 |
Briane, Paul V. Samson
Yasuyuki, Sumi
|
| 著者名(英) |
Briane, Paul V. Samson
Yasuyuki, Sumi
|
| 論文抄録 |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Navigation applications have gained popularity in recent years because they allow drivers to circumnavigate congested roads. Utilizing crowd-sourced information from users, these context-aware applications aim to always give drivers the fastest route to their destinations. With this basic assumption about drivers, how are these optimal routes followed and what factors affect their adoption? In this study, we conducted a semi-structured qualitative study with drivers that use navigation applications, and recorded at least one instance of their daily commutes and occasional trips to new locations. Our findings reveal that while drivers often choose the fastest route in urgent situations, there are still chances of deviation due to unfamiliarity of roads, lack of local context, and gaps and inconsistencies between the expected and realized navigation experiences. We present a set of recommendations to address the observed limitations of existing navigation applications and incorporating the observed nuances of the drivers. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Navigation applications have gained popularity in recent years because they allow drivers to circumnavigate congested roads. Utilizing crowd-sourced information from users, these context-aware applications aim to always give drivers the fastest route to their destinations. With this basic assumption about drivers, how are these optimal routes followed and what factors affect their adoption? In this study, we conducted a semi-structured qualitative study with drivers that use navigation applications, and recorded at least one instance of their daily commutes and occasional trips to new locations. Our findings reveal that while drivers often choose the fastest route in urgent situations, there are still chances of deviation due to unfamiliarity of roads, lack of local context, and gaps and inconsistencies between the expected and realized navigation experiences. We present a set of recommendations to address the observed limitations of existing navigation applications and incorporating the observed nuances of the drivers. |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA11838947 |
| 書誌情報 |
研究報告ユビキタスコンピューティングシステム（UBI）
巻 2018-UBI-59,
号 3,
p. 1-7,
発行日 2018-08-24
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2188-8698 |
| Notice |
|
|
|
SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc. |
| 出版者 |
|
|
言語 |
ja |
|
出版者 |
情報処理学会 |
IPSJ-UBI18059003.pdf (1.6 MB)
