"To Click or not to Click": Back to Basic for Experience Sampling for Office Well-being in Shared Office Spaces

要旨

Sensors in offices mainly measure environmental data, missing qualitative insights into office workers' perceptions. This opens the opportunity for active individual participation in data collection. To promote reflection on office well-being while overcoming experience sampling challenges in terms of privacy, notification, and display overload, and in-the-moment data collection, we developed Click-IO. Click-IO is a tangible, privacy-sensitive, mobile experience sampling tool that collects contextual information. We evaluated Click-IO for 20-days. The system enabled real-time reflections for office workers, promoting self-awareness of their environment and well-being. Its non-digital design ensured privacy-sensitive feedback collection, while its mobility facilitated in-the-moment feedback. Based on our findings, we identify design recommendations for the development of mobile experience sampling tools. Moreover, the integration of contextual data with environmental sensor data presented a more comprehensive understanding of individuals' experiences. This research contributes to the development of experience sampling tools and sensor integration for understanding office well-being.

著者
Hans Brombacher
Eindhoven University of Technology, Eindhoven, Netherlands
Dimitra Dritsa
Eindhoven University of Technology, Eindhoven, Netherlands
Steven Vos
Eindhoven University of Technology, Eindhoven, Netherlands
Steven Houben
Eindhoven University of Technology, Eindhoven, Netherlands
論文URL

doi.org/10.1145/3613904.3642295

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Research Methods and Tools B

315
5 件の発表
2024-05-14 01:00:00
2024-05-14 02:20:00