Follow-my-lead: Intuitive indoor path creation and navigation using interactive videos
Paper i proceeding, 2017

© 2017 ACM. We present Follow-My-Lead, an alternative indoor navigation technique that uses visual information recorded on an actual navigation path as a navigational guide. Its design revealed a trade-off between the fidelity of information provided to users and their effort to acquire it. Our first experiment revealed that scrolling through a continuous image stream of the navigation path is highly informative, but it becomes tedious with constant use. Discrete image checkpoints require less effort, but can be confusing. A balance may be struck by adding fast video transitions between image checkpoints, but precise control is required to handle difficult situations. Authoring still image checkpoints is also difficult, and this inspired us to invent a new technique using video checkpoints. We conducted a second experiment on authoring and navigation performance and found video checkpoints plus fast video transitions to be better than both image checkpoints plus fast video transitions.


Wearable computing

Indoor navigation


Egocentric visual navigation


Mobile computing


Quentin Roy

Singapore Management University

S. Perrault

Yale NUS College

S. D. Zhao

Universiti Kebangsaan Singapura (NUS)

Richard C. Davis

Act8 Design Pte Ltd

Anuroop Pattena Vaniyar

Singapore Management University

Velko Vechev

Universiti Kebangsaan Singapura (NUS)

Youngki Lee

Singapore Management University

Archan Misra

Singapore Management University

Conference on Human Factors in Computing Systems - Proceedings

Vol. 2017-May 5703-5715
978-145034655-9 (ISBN)

2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
Denver, USA,




Datorseende och robotik (autonoma system)



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