Investigating the Effects of Eco-Friendly Service Options on Rebound Behavior in Ride-Hailing

要旨

Eco-friendly service options (EFSOs) aim to reduce personal carbon emissions, yet their eco-friendly framing may permit increased consumption, weakening their intended impact. Such rebound effects remain underexamined in HCI, including how common eco-feedback approaches shape them. We investigate this in an online within-subjects experiment (N=75) in a ride-hailing context. Participants completed 10 trials for five conditions (No EFSO, EFSO - Minimal, EFSO - CO2 Equivalency, EFSO - Gamified, EFSO - Social), yielding 50 choices between walking and ride-hailing for trips ranging from 0.5mi - 2.0mi (≈ 0.80km - 3.22km). We measured how different EFSO variants affected ride-hailing uptake relative to a No EFSO baseline. EFSOs lacking explicit eco-feedback metrics increased ride-hailing uptake, and qualitative responses indicate that EFSOs can make convenience-driven choices more permissible. We conclude with implications for designing EFSOs that begin to take rebound effects into account.

著者
Albin Zeqiri
Ulm University, Ulm, Germany
Michael Rietzler
Institute of Mediainformatics, Ulm, Germany
Enrico Rukzio
University of Ulm, Ulm, Germany

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Domain Specific Systems

P1 - Room 111
7 件の発表
2026-04-17 20:15:00
2026-04-17 21:45:00