Exploring Factors that Influence Connected Drivers to (Not) Use or Follow Recommended Optimal Routes
Exploring Factors that Influence Connected Drivers to (Not) Use or Follow Recommended Optimal Routes
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DOI：
10.1145/3290605.3300601
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发表时间：
2019-01
期刊：
影响因子：
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通讯作者：
B. Samson;Y. Sumi
中科院分区：
文献类型：
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作者：
B. Samson;Y. Sumi
导航应用程序在我们的日常导航体验中变得无处不在。为了绕过拥挤的道路，他们的路线指导总是遵循的基本假设，司机总是希望最快的路线。然而，尚不清楚如何遵循这些建议，以及哪些因素影响这些建议的采纳。我们提出了一个半结构化的定性研究的结果与17个驱动程序，主要来自菲律宾和日本。我们记录了他们的日常通勤和偶尔的旅行，并询问了他们的导航实践，路线选择和飞行决策。我们发现，虽然司机在紧急情况下选择推荐的路线，但许多人仍然喜欢走熟悉的路线。驾驶员偏离是因为建议使用不熟悉的道路，缺乏当地环境，感知驾驶不适合，以及与实现的导航体验不一致。我们的研究结果和影响强调了他们的个性化需求，以及适量的算法复杂性如何鼓励行为适应。
Navigation applications are becoming ubiquitous in our daily navigation experiences. With the intention to circumnavigate congested roads, their route guidance always follows the basic assumption that drivers always want the fastest route. However, it is unclear how their recommendations are followed and what factors affect their adoption. We present the results of a semi-structured qualitative study with 17 drivers, mostly from the Philippines and Japan. We recorded their daily commutes and occasional trips, and inquired into their navigation practices, route choices and on-the-fly decision-making. We found that while drivers choose a recommended route in urgent situations, many still preferred to follow familiar routes. Drivers deviated because of a recommendation's use of unfamiliar roads, lack of local context, perceived driving unsuitability, and inconsistencies with realized navigation experiences. Our findings and implications emphasize their personalization needs, and how the right amount of algorithmic sophistication can encourage behavioral adaptation.