Who's gonna use this? Acceptance prediction of emerging technologies with Cognitive-Affective Mapping and transdisciplinary considerations in the Anthropocene
Bibliographic Data
| ID | 4189017 |
|---|---|
| Authors | Sabrina Livanec (0000-0003-3510-825X, University of Freiburg, corresponding author), Michael Stumpf (0000-0003-1134-2930, University of Freiburg), Lisa Reuter (0000-0002-2757-0498, University of Freiburg), Julius Fenn (0000-0002-7569-8648, University of Freiburg), A Kiesel (0000-0001-5564-010X, University of Freiburg) |
| Year | 2022 |
| Volume | 9 |
| Issue | 2 |
| Pages | 276-295 |
| Publication date | 2022-08-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | The Anthropocene Review (JOURNAL) |
| Journal identifiers | ISSN: 2053-0196 • E-ISSN: 2053-020X |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/20530196221078924 |
| OpenAlex | W4214848489 |
| Language | EN |
| Citations received | 3 |
| References cited | 46 |
In the Anthropocene, mankind is facing enormous challenges. Science and technology obviously have an essential role to play in addressing these challenges but have to be supplemented by the collaboration of different actors from the scientific and non-scientific community. Possibly beneficial technologies can only unfold their full potential if they are socially accepted. Participation and transdisciplinarity are key concepts in this regard. The need for methods fostering collaborative knowledge production and reverse communication from the public to the scientific community is accordingly high. In this article, we propose to apply Cognitive-Affective Mapping (CAM) to predict psychological acceptance of novel research fields and potentially resulting technologies. As an example, we use life-like materials systems. CAM enables acceptance prediction at an early stage-already for basic research when prototypes are not yet available. The method bridges the gap between qualitative and quantitative research traditions. Its product-Cognitive-Affective Maps (CAMs)-is a vivid visual tool. In perspective, CAM-based technology acceptance assessment can be conceived as a participatory, transdisciplinary practice
Anthropocene · Citizen journalism · Cognition · Data science · Emerging technologies · Engineering ethics · Knowledge management · Management science · Social science · Sociology · Transdisciplinarity · Cognitive Science and Mapping · Computer Science · Creativity in Education and Neuroscience · Engineering · Psychology · University-Industry-Government Innovation Models · Artificial Intelligence · Ecology
Coherence in Thought and Action
Affect is a form of cognition
Developing questionnaires for educational research
Essential elements of questionnaire design and development
Personal Computing
Measurement Schmeasurement
Semantic Network Analysis as a Method for Visual Text Analytics
Assessing IT Usage
Toward A Hierarchical Model of Intrinsic and Extrinsic Motivation
Fuzzy cognitive maps
User Acceptance of Information Technology
A Theoretical Extension of the Technology Acceptance Model
Technology Acceptance Model 3 and a Research Agenda on Interventions
Geology of mankind
User Acceptance of Computer Technology
Structure of Decision
Grounded Theory – Strategien qualitativer Forschung
A review of the effects of uncertainty in public science communication
Normative Influences on Altruism
Reflective and Impulsive Determinants of Social Behavior
Reactions of sciences to the Anthropocene
Transdisciplinary global change research
Meeting the challenges of the anthropocene
A Complex Systems Approach to the Study of Ideology
Plant-inspired damage control - An inspiration for sustainable solutions in the Anthropocene
The Conceptual Structure of Social Disputes
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |