The Socio-Technical Energy Triad: Uncovering Tensions between Service Providers, Users, and the Energy System

Paper Title

The Socio-Technical Energy Triad: Uncovering Tensions between Service Providers, Users, and the Energy System

Publication Info

• Topic area: Human-Computer Interaction (HCI) in the context of digital energy services and socio-technical systems.
• Keywords: Socio-technical systems, energy transition, digital energy services, user engagement, energy data, HCI, smart meters, flexibility, automation, energy system.

Background and Problem

• Problem / challenge: There is a structural disconnect between energy service providers, domestic users, and the energy system. Providers require granular data for optimization, but users lack the literacy or motivation to engage with systemic needs, and the energy system remains invisible to them.
• Significance: Addressing this disconnect is critical for enabling the renewable energy transition, which requires systemic flexibility to match consumption with variable renewable energy generation.
• Motivation and related work: Prior HCI research has focused on eco-feedback and individual behavior change but has been critiqued for ignoring systemic and infrastructural constraints. Theoretical calls for integrating user and provider perspectives exist, but empirical studies mapping these tensions are scarce. This paper aims to fill that gap.

Solution

• Proposed approach: The Socio-Technical Energy Triad, a conceptual framework situating digital energy services at the intersection of service providers, domestic users, and the energy system.
• Novelty:
  1. Empirical insights into the conflicting constraints of providers and users.
  2. Introduction of the Socio-Technical Energy Triad framework to map tensions between stakeholders and the system.
  3. Design implications for creating legible automation and translating systemic needs into user-centered signals.
• Procedure and key techniques:
  1. Study 1 (Macro-Level): 21 interviews with energy stakeholders to map regulatory, market, and data constraints.
  2. Study 2 (Micro-Level): Deployment of a prototype app (EnergyAnnotator) with 10 participants to explore user understanding and engagement with energy data.
  3. Study 3 (Triangulation): A survey with 98 participants to validate findings and assess broader user attitudes toward energy applications.

Results

• Concrete findings:
  • Providers face challenges with fragmented data infrastructures, interoperability, and gaining user trust.
  • Users prioritize financial savings (58 out of 98 survey participants) over environmental concerns (25 participants) and reject manual data annotation, demanding automation instead.
  • The "Invisibility Gap" prevents users from understanding systemic needs, hindering engagement with flexible energy systems.
• Advantage over baselines: The study goes beyond traditional eco-feedback approaches by empirically mapping the socio-technical tensions and proposing actionable design strategies for systemic flexibility.
• Experiments / evaluation:
  • Study 1: Identified provider needs for granular, real-time data and challenges with privacy and consent.
  • Study 2: Revealed user rejection of manual data annotation and demand for automation, cost transparency, and actionable insights.
  • Study 3: Quantified user motivations and preferences, confirming the dominance of financial incentives and the need for relatable feedback formats.
• Limitations and future work:
  • Limited sample diversity: Participants were primarily tech-savvy individuals in their 20s and 30s, missing perspectives from vulnerable populations.
  • Geographic focus on Europe: Findings are influenced by EU-specific regulatory and infrastructural conditions.
  • Future work should explore broader demographic groups and investigate the applicability of the Triad framework in non-European contexts.

Summary

This paper introduces the Socio-Technical Energy Triad, a framework that maps the tensions between energy service providers, domestic users, and the systemic needs of the energy grid. Through a mixed-methods approach, the study reveals a structural disconnect: providers require granular data for flexibility, users prioritize convenience and cost savings, and the system's needs remain invisible to households. The findings highlight the need for HCI research to move beyond eco-feedback and design for systemic flexibility through legible automation and translational design. While the study focuses on Europe, the framework has potential applicability to global energy transitions.