Home /Research /Studying Robot Vacuums Using Online Retailer Reviews to Understand Human-Automation Interaction
OTHER

Studying Robot Vacuums Using Online Retailer Reviews to Understand Human-Automation Interaction

Kenan Carames, Kinting Mui, Amin Azad, Wayne C.W. Giang

Year
2021
Citations
3
Access
Open access

Abstract

Robot vacuums are a type of every-day automation and may serve as a possible domain for studying human-automation interactions. Online reviews of four models of autonomous robot vacuums, representing different levels of price and automation, were collected from multiple retailers to understand user interactions and issues encountered. Using a thematic analysis, reviews were categorized into three themes: prior experience with robot vacuums, navigation, and mapping, and troubleshooting issues. The results suggested that new users were more satisfied with their robots than experienced users. Furthermore, price and brand name may influence users’ mental models of their vacuums. Owners of more expensive vacuums appeared less willing to change their behavior to accommodate the vacuum’s limitations. These findings suggest that robot vacuums may be a useful gateway domain for understanding everyday-users’ interactions with automation, and that online reviews are a potential source of information on user experiences.

Keywords

TroubleshootingRobotAutomationHuman–computer interactionDomain (mathematical analysis)Computer scienceHuman–robot interactionThematic analysisWorld Wide WebEngineering

Related papers

Browse all OTHER papers