MoodMap App

Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

MoodMap App is a prototype software application developed by Pammer-Schindler et al. for recording, contextualizing, and visualizing individual and collaborative workplace moods.

Components

• MoodMap App for self-tracked mood and team awareness: The MoodMap App is a mood self-tracking prototype whose interface follows Russell's two-dimensional model of affect along valence and arousal, with mood captured by clicking a bi-dimensional mood map based on Itten's colour system. Users can attach free-text notes and context information; moods, notes and context are aggregated and visualized at individual and collaborative levels, including a Compare Me View and a Collaborative View showing others' current mood. It was tested in two field studies, in virtual team meetings and in call-center teams. (Pammer-Schindler et al. (2021))

Claims

• In activity-logging field studies, even anonymized data export was refused by a majority of participants, and named-author mood sharing was accepted by most participants [+W]
• Learning is not an a priori shared goal of stakeholders in informal workplace learning settings, which undermines trust in data collection for learning [+W]

Related Products and Programmes

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Key Sources

• Pammer-Schindler, V. & Rosé, C. (2021). Data-Related Ethics Issues in Technologies for Informal Professional Learning. International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-021-00259-x

Page metadata

Field	Value
type	product
id	moodmap-app
title	MoodMap App
description	MoodMap App is a prototype software application developed by Pammer-Schindler et al.
status	review
product_kind	software
generated	by process:settle-candidates on 2026-10-27
trust	unverified — no one has confirmed this page's content

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