Abstract
Designing a Toolkit for Evaluating HCI Guidance Systems in Physical Spaces: Case of Flavoria Research Lunch Line
Authors: Koivunen, Lauri; Papalitsas, Aleksi; Khursheed, Muhammad Ismail; Akar, Ecem; Lehtojärvi, Susanna; Islas Sedano, Carolina A.; Järvi, Jaakko
Editors: Yamashita, Naomi; Evers, Vanessa; Yatani, Koji; Ding, Xianghua (Sharon)
Conference name: Conference on Human Factors in Computing Systems
Publisher: ACM
Publication year: 2025
Book title : CHI EA '25: Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Journal name in sourceConference on Human Factors in Computing Systems - Proceedings
First page : 1
Last page: 10
ISBN: 979-8-4007-1395-8
DOI: https://doi.org/10.1145/3706599.3706675
Web address : https://doi.org/10.1145/3706599.3706675
We report on the use case of an instrumented self-service lunch line of a research restaurant that gathers data about dining and diners, using scales, screens, and other collection instruments. The data collection is automated, but requires some participation or compliance from the diners. We developed and tested a non-intrusive LED cue system to guide diner behavior, evaluating its effectiveness through telemetry data, user observations and focus groups. Contrary to expectations, the system did not increase user compliance. To better understand user behavior, we applied context analysis, cognitive load, and affordance theories. The reflections of this research delivers a toolkit to support researchers in the human-computer interaction (HCI) field to analyze the factors for success/failure of guidance systems and/or guide the design of new such systems with high probability of success.
Funding information in the publication:
This research was supported by Business Finland, under the Veturi program with the Dining Flow project (6547/31/2022). We acknowledge the Flavoria Research Platform and our colleagues at UTU NuFo for their continued support.
