Crowdsourcing vs Laboratory-Style Social Acceptability Studies? Examining the Social Acceptability of Spatial User Interactions for Head-Worn Displays
Authors
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.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 100%
How to Write CHI Papers -- Second Edition
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
How to Write CHI Papers -- Second Edition
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Empirical Research Methods for Human-Computer Interaction
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Introduction to Human-Computer Interaction
CHI '18· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Kaleidoscope: A Reflective Documentation Tool for a User Interface Design Course
CHI '23· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Designing a Data-Driven Survey System: Leveraging Participants' Online Data to Personalize Surveys
CHI '24· User Research Methods (Interviews, Surveys, Observation) +1
- 100%
Patterns of Hypertext-Augmented Sensemaking
UIST '24· User Research Methods (Interviews, Surveys, Observation) +1
- 80%
Personas and Analytics: A Comparative User Study of Efficiency and Effectiveness for a User Identification Task
CHI '20· User Research Methods (Interviews, Surveys, Observation) +1
- 80%
Reflexis: Supporting Reflexivity and Rigor in Collaborative Qualitative Analysis though Design for Deliberation
CHI '26· Participatory Design +2
- 80%
Cultural Clash: Exploring How Studio-Based Pedagogy Impacts Learning for Students in HCI Classrooms
DIS '20· Collaborative Learning & Peer Teaching +2
Based on Jaccard similarity of research subtopics & professions (≥60%)