| Item type |
SIG Technical Reports(1) |
| 公開日 |
2019-12-03 |
| タイトル |
|
|
タイトル |
Incorporating Conversations in Car Navigation Voice Guidance to Support Instructed Actions |
| タイトル |
|
|
言語 |
en |
|
タイトル |
Incorporating Conversations in Car Navigation Voice Guidance to Support Instructed Actions |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題Scheme |
Other |
|
主題 |
運転 |
| 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 |
Voice guidance for car navigation typically assume drivers as docile actors. However, recent research highlight limitations that make drivers rely less on given directions. To explore how drivers can make better navigation decisions, we conducted a Wizard of Oz study that delivers turn suggestions in a conversation between two agents. We asked 30 participants to drive in a simulation environment using voice guidance that gives three types of suggestions: familiar, optimal, and new routes. We examined how these affect their choices and found that while most drivers followed directions appropriate for the given scenarios, they were more likely to make inappropriate choices after hearing alternatives in conversations. We also show how these two-party conversations may enable drivers to better reflect on their choices based on reported confidence after their trips. We conclude by discussing the design implications for car navigation voice guidance specifically and recommender systems in general. |
| 論文抄録(英) |
|
|
内容記述タイプ |
Other |
|
内容記述 |
Voice guidance for car navigation typically assume drivers as docile actors. However, recent research highlight limitations that make drivers rely less on given directions. To explore how drivers can make better navigation decisions, we conducted a Wizard of Oz study that delivers turn suggestions in a conversation between two agents. We asked 30 participants to drive in a simulation environment using voice guidance that gives three types of suggestions: familiar, optimal, and new routes. We examined how these affect their choices and found that while most drivers followed directions appropriate for the given scenarios, they were more likely to make inappropriate choices after hearing alternatives in conversations. We also show how these two-party conversations may enable drivers to better reflect on their choices based on reported confidence after their trips. We conclude by discussing the design implications for car navigation voice guidance specifically and recommender systems in general. |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AA1221543X |
| 書誌情報 |
研究報告ヒューマンコンピュータインタラクション（HCI）
巻 2019-HCI-185,
号 16,
p. 1-8,
発行日 2019-12-03
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
2188-8760 |
| 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-HCI19185016.pdf (1.8 MB)
