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Crowdsourcing vs Laboratory-Style Social Acceptability Studies?: Examining the Social Acceptability

The use of crowdsourcing platforms for data collection in HCI research is attractive in their ability to provide rapid access to large and diverse participant samples. As a result, several researchers have conducted studies investigating the similarities and differences between data collected through crowdsourcing and more traditional, laboratory-style data collection. We add to this body of research by examining the feasibility of conducting social acceptability studies via crowdsourcing. Social acceptability can be a key determinant for the early adoption of emerging technologies, and as such, we focus our investigation on social acceptability for Head-Worn Display (HWD) input modalities. Our results indicate that data collected via a crowdsourced experiment and a laboratory-style setting did not differ at a statistically significant level. These results provide initial support for crowdsourcing platforms as viable options for conducting social acceptability research.

https://dl-acm-org.uml.idm.oclc.org/citation.cfm?id=3173884

Fouad Alallah, Ali Neshati, Nima Sheibani, Yumiko Sakamoto, Andrea Bunt, Pourang Irani, and Khalad Hasan. 2018. Crowdsourcing vs Laboratory-Style Social Acceptability Studies?: Examining the Social Acceptability of Spatial User Interactions for Head-Worn Displays. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Paper 310, 7 pages. DOI: https://doi-org.uml.idm.oclc.org/10.1145/3173574.3173884

Bibtext Entry

@inproceedings{Alallah:2018:CVL:3173574.3173884,
author = {Alallah, Fouad and Neshati, Ali and Sheibani, Nima and Sakamoto, Yumiko and Bunt, Andrea and Irani, Pourang and Hasan, Khalad},
title = {Crowdsourcing vs Laboratory-Style Social Acceptability Studies?: Examining the Social Acceptability of Spatial User Interactions for Head-Worn Displays},
booktitle = {Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems},
series = {CHI '18},
year = {2018},
isbn = {978-1-4503-5620-6},
location = {Montreal QC, Canada},
pages = {310:1--310:7},
articleno = {310},
numpages = {7},
url = {http://doi.acm.org.uml.idm.oclc.org/10.1145/3173574.3173884},
doi = {10.1145/3173574.3173884},
acmid = {3173884},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {crowdsourcing, head-worn displays, input modalities, social acceptance},
}

Authors

Fouad Alallah

Fouad Alallah

PhD Student
Ali Neshati

Ali Neshati

PhD Student
Dr. Yumiko Sakamoto

Dr. Yumiko Sakamoto

Research Associate
Andrea Bunt

Andrea Bunt

Associate Professor
Pourang Irani

Pourang Irani

Professor
Canada Research Chair

As well as: Nima Sheibani