Get Distracted or Missed the Stop? Investigating Public Transit Passengers’ Travel-Based Multitasking Behaviors, Motives, and Challenges

要旨

Mobile users commonly multitask during travel, but doing so on public transit can be challenging due to the dynamic nature of the environment as well as long-standing lack of infrastructural support. Nevertheless, HCI scholars and practitioners have devoted relatively little attention to developing technology for enhancing travel multitasking. To facilitate such development, we sought to understand travel multitaskers’ practices and challenges while on public transit, and to that end, conducted a multi-methods study that involved shadowing and interviewing 30 of them. We identified four travel-multitasking patterns, characterized by distinct motives that affected these travelers’ multitasking practices, receptivity to environmental stimuli, and task persistence. The two main challenges they encountered during travel multitasking resulted from mutual interference from their tasks and from the dynamic nature of transit environments. Based on these findings, design recommendations for public-transit agencies and mobile services are also provided.

著者
Hsinju Lee
National Tsing Hua University, Hsinchu City, Taiwan
Fang-Hsin Hsu
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Wei-Ko Li
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Jie Tsai
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Ying-Yu Chen
National Yang Ming Chiao Tung University, Hsinchu City, (none), Taiwan
Yung-Ju Chang
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
論文URL

https://doi.org/10.1145/3544548.3581391

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Transportation and AI/ML

Hall G1
5 件の発表
2023-04-26 18:00:00
2023-04-26 19:30:00