most citedLearning with Digital Agents: An Analysis based on the Activity Theory

32 citations · 80 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2024★ 13 cited

Pen-and-paper Rituals in Service Interaction: Combining High-touch and High-tech in Financial Advisory Encounters

Mateusz Dolata, Doris Agotai, Simon Schubiger +1

Advisory services are ritualized encounters between an expert and an advisee. Empathetic, high-touch relationship between those two parties was identified as the key aspect of a su…

cs.HC2024★ 21 cited

When the System does not Fit: Coping Strategies of Employment Consultants

Mateusz Dolata, Birgit Schenk, Jara Fuhrer +2

Case and knowledge management systems are spread at the frontline across public agencies. However, such systems are dedicated for the collaboration within the agency rather than fo…

cs.CY2024★ 11 cited

Towards the Socio-Algorithmic Construction of Fairness: The Case of Automatic Price-Surging in Ride-Hailing

Mateusz Dolata, Gerhard Schwabe

Algorithms take decisions that affect humans, and have been shown to perpetuate biases and discrimination. Decisions by algorithms are subject to different interpretations. Algorit…

cs.SE2024★ 3 cited

Project Archetypes: A Blessing and a Curse for AI Development

Mateusz Dolata, Kevin Crowston, Gerhard Schwabe

Software projects rely on what we call project archetypes, i.e., pre-existing mental images of how projects work. They guide distribution of responsibilities, planning, or expectat…

cs.HC2024★ 32 cited

Learning with Digital Agents: An Analysis based on the Activity Theory

Mateusz Dolata, Dzmitry Katsiuba, Natalie Wellnhammer +1

Digital agents are considered a general-purpose technology. They spread quickly in private and organizational contexts, including education. Yet, research lacks a conceptual framin…

cs.CY2021

A Sociotechnical View of Algorithmic Fairness

Mateusz Dolata, Stefan Feuerriegel, Gerhard Schwabe

Algorithmic fairness has been framed as a newly emerging technology that mitigates systemic discrimination in automated decision-making, providing opportunities to improve fairness…