Surveys and HCI and UX Research: Applications, challenges, and opportunities |
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| Coordinator 1 | Dr Yongwei Yang (Google) |
| Coordinator 2 | Mr Aaron Sedley (Whale Acres Consulting) |
| Coordinator 3 | Dr Mario Callegaro (Callegaro Research Methods Consulting) |
Over the last decade, surveys have become a common method in human-computer interaction and user experience research (HCI-UXR). They are used to understand usability, evaluate design opportunities, measure user perceptions, or capture broader contexts such as brand equity and demographic, psychographics, or technographic segments. HCI-UXR surveys utilize a range of sampling and data collection designs, from probability-based samples and mixed-mode data collection, to opt-in panels with online data collection, to the unique method of contextual or “in-product” surveys triggered by specific user-product interactions. Additionally, this interdisciplinary field produces new research to improve survey practices, interjecting HCI/UX perspectives and methods into design considerations for survey questions, answer scales, and visual display. Despite these developments, survey-focused academic and professional events (e.g., ESRA, AAPOR) rarely have dedicated discussions about the intersecting practices of surveys and HCI-UXR. In this first-of-its-kind session, we will bring together researchers and practitioners to discuss applications, opportunities, and challenges in two areas:
(1) Applying survey best practices to HCI-UXR
(2) Applying HCI-UXR to improve survey design
Both empirical and didactical research may be considered. We provide a non-exhaustive list of examples below:
(1) Advancing HCI-UXR constructs and theories through survey research
(2) Validating survey questions that measure user experience constructs (e.g., ease of use, helpfulness, satisfaction, trust) and their facets
(3) Combining or comparing the value of sentiment and behavioral data in HCI-UXR context
(4) Addressing HCI-UXR topics through mixed-method approaches that use surveys
(5) Evaluating sampling and triggering strategies for contextual surveys
(6) Developing scalable solutions for utilizing free-text user feedback
(7) Delineating privacy, safety, and ethical considerations with HCI-UXR surveys
(8) Surveying career landscape and opportunities of survey professionals in HCI-UXR