Crowdsourcing vs Laboratory-Style Social Acceptability Studies?: Examining the Social Acceptability of Spatial User Interactions for Head-Worn Displays

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Abstract

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.

Publisher Link

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

Citation

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},
}