Wicked Implications for Human Interaction with IoT Sensor Data
Albrecht Kurze, Andreas Bischof

TL;DR
This paper discusses complex, often problematic implications of human interaction with IoT sensor data in smart homes, highlighting challenges in data sensemaking and proposing a data-driven method to identify pitfalls.
Contribution
It introduces wicked implications of IoT sensor data interaction and presents the 'Guess the Data' method to uncover potential pitfalls in human data sensemaking.
Findings
Identified potential pitfalls in human interaction with IoT sensor data
Highlighted wicked implications for data sensemaking in smart homes
Proposed a method to reveal data interaction challenges
Abstract
Human data interaction with sensor data from smart homes can cause some implications when it comes to human sensemaking of this data. With our data-driven method Guess the Data for individual and collective data work we revealed in previous work a number of potential pitfalls when interacting with this type of data. We introduce some of the identified, often wicked implications for further discussion.
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · Human Mobility and Location-Based Analysis · Mobile Crowdsensing and Crowdsourcing
