Exploring the Use of Robots for Diary Studies
Michael F. Xu, Bilge Mutlu

TL;DR
This paper introduces a novel method where robots serve as interactive diaries for in-home human-robot interaction studies, demonstrating feasibility and effectiveness through a week-long deployment and benchmarking against traditional diaries.
Contribution
The study presents the Diary Robot system, a new approach for collecting longitudinal data in naturalistic settings using robots as interactive data collection tools.
Findings
Robots effectively elicited targeted information from participants.
The Diary Robot system performed comparably to traditional diary methods.
In-home deployment demonstrated practical feasibility of robot-based diary studies.
Abstract
As interest in studying in-the-wild human-robot interaction grows, there is a need for methods to collect data over time and in naturalistic or potentially private environments. HRI researchers have increasingly used the diary method for these studies, asking study participants to self-administer a structured data collection instrument, i.e., a diary, over a period of time. Although the diary method offers a unique window into settings that researchers may not have access to, they also lack the interactivity and probing that interview-based methods offer. In this paper, we explore a novel data collection method in which a robot plays the role of an interactive diary. We developed the Diary Robot system and performed in-home deployments for a week to evaluate the feasibility and effectiveness of this approach. Using traditional text-based and audio-based diaries as benchmarks, we found…
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Taxonomy
TopicsMultimodal Machine Learning Applications
