Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective

Videos

Glasses

Video1 (V1): A perspective of a sighted passerby

An image showing the perspective of a sighted person who passes by a blind user wearing smrt glasses

Video2 (V2): A perspective of a blind user

An image showing the perspective of a blind user who wears smart glasses and passes by a sighted passerby

GoPro

Video1 (V1): A perspective of a sighted passerby

An image showing the perspective of a sighted person who passes by a blind user wearing GoPro

Video2 (V2): A perspective of a blind user

An image showing the perspective of a blind user who wears GoPro and passes by a sighted passerby

Question types

There are four different types of questions used in our user studies:

Questions for sighted participants

Attitude towards technology

Attitude towards wearable technology (asked in pre- and post-study)

Questions after video1 (V1) that shows the perspective of a pedestrian

Questions after video2 (V2) that shows the perspective of a blind user

Passerby perspective on real-world scenarios

Perception of wearable device after V2

Questions for blind participants

Experience with wearable technology

Attitude towards technology

Attitude towards wearable technology (asked in pre- and post-study)

Social interaction

Post-study questions about their perception of wearable devices

Post-study questions about their experience with wearable devices

Citation

Please cite our corresponding paper if you find our questions useful. Following is the BibText of our paper:

@inproceedings{lee2020pedestrian,
  title={Pedestrian detection with wearable cameras for the blind: A two-way perspective},
  author={Lee, Kyungjun and Sato, Daisuke and Asakawa, Saki and Kacorri, Hernisa and Asakawa, Chieko},
  booktitle={Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
  pages={1--12},
  year={2020}
}

Funding

The work was supported, in part, by grant from Shimizu Corporation and by grant number 90REGE0008 (Inclusive ICT Rehabilitation Engineering Research Center), from the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR), U.S. Administration for Community Living, Department of Health and Human Services.