Micro-Phenomenology as a Method for Studying User Experience in Human-Computer Interaction

要旨

We examine how micro-phenomenology, a qualitative research method developed to attend to, articulate, and analyse lived experience in fine detail, can be employed to study the experience of using digital systems. Micro-phenomenological interviews unpack the specific experiences of interviewees in fine-grained detail and have previously been acknowledged as a potent tool for Human-Computer Interaction Research. More recently, the method has been extended to comprise a structured analysis method to systematically analyse the temporal unfolding and qualitative dimensions of experiences captured by the interviews. This is the first paper demonstrating the combined use of interviews and analysis via a case in which they were employed to examine the experience of using WeUsedTo, a website for sharing experiences related to the COVID-19 pandemic. On this basis, we discuss the potentials of the method for eliciting and understanding experiential aspects of interactive systems, particularly pertaining to embodiment, temporality, attention, agency, and the systemic nature of experience.

受賞
Honorable Mention
著者
Katrin Heimann
Aarhus University, Aarhus, Denmark
Minke Nouwens
Aarhus University, Aarhus, Denmark
Suneetha Saggurthi
Indian Institute of Management Raipur, Raipur, India
Peter Dalsgaard
Aarhus University, Aarhus, Denmark
DOI

10.1145/3706598.3714422

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714422

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: HCI Methods

G416+G417
7 件の発表
2025-04-28 20:10:00
2025-04-28 21:40:00
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