Abstract
Sense of control is increasingly used as a measure of quality in human-computer interaction. Control has been investigated mainly at a high level, using subjective questionnaire data, but also at a low level, using objective data on participants' sense of agency. However, it remains unclear how differences in higher level, experienced control reflect lower level sense of control. We study that link in two experiments. In the first one we measure the low-level sense of agency with button, touchpad, and on-skin input. The results show a higher sense of agency with on-skin input. In the second experiment, participants played a simple game controlled with the same three inputs. We find that on-skin input results in both increased sense and experience of control compared to touchpad input. However, the corresponding difference is not found between on-skin and button input, whereas the button performed better in the experiment task. These results suggest that other factors of user experience spill over to the experienced control at rates that overcome differences in the sense of control. We discuss the implications for using subjective measures about the sense of control in evaluating qualities of interaction.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 28 |
| Tidsskrift | ACM Transactions on Computer-Human Interaction |
| Vol/bind | 29 |
| Udgave nummer | 4 |
| Sider (fra-til) | 1-22 |
| ISSN | 1073-0516 |
| DOI | |
| Status | Udgivet - 2022 |
Bibliografisk note
Funding Information:This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement 648785). Authors’ addresses: J. Bergström and K. Hornbæk, Department of Computer Science, University of Copenhagen, Uni-versitetsparken 5, 2100 Copenhagen, Denmark; emails: [email protected], [email protected]; J. Knibbe, School of Computing and Information Systems, University of Melbourne, 700 Swanston Street, Carlton, VIC 3053, Australia; email: [email protected]; H. Pohl, Aalborg University, Selma Lagerløfs Vej 300, 9220 Aalborg, Denmark; email: [email protected]. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]. © 2022 Association for Computing Machinery. 1073-0516/2022/03-ART28 $15.00 https://doi.org/10.1145/3490493
Publisher Copyright:
© 2022 Association for Computing Machinery.