Background: Interactive products for self-improvement (e.g., online trainings to reduce stress, fitness gadgets) have become increasingly popular among consumers and healthcare providers. In line with the idea of positive computing, these tools aim to support their users on their way to improved well-being and human flourishing. As an interdisciplinary domain, the design of self-improvement technologies requires psychological, technological, and design expertise. One needs to know how to support people in behavior change, and one needs to find ways to do this through technology design. However, as recent reviews show, the interlocking relationship between these disciplines is still improvable. Many existing technologies for self-improvement neglect psychological theory on behavior change, especially motivational factors are not sufficiently considered. To counteract this, we suggest a focus on the dialog and emerging communication between product and user, considering the self-improvement tool as an interactive coach and advisor.
Methods: The present qualitative interview study (N = 18) explored the user experience of self-improvement technologies. A special focus was on the perceived dialog between tool and user, which we analyzed in terms of models from communication psychology.
Results: Our findings show that users are sensible to the way the product "speaks to them" and consider this as essential for their experience and successful change. Analysis revealed different communication styles of self-improvement tools (e.g., helpful-cooperative, rational-distanced, critical-aggressive), each linked to specific emotional consequences.
Conclusions: These findings form one starting point for a more psychologically founded design of self-improvement technology. On a more general level, our approach aims to contribute to a better integration of psychological and technological knowledge, and in consequence, supporting users on their way to enhanced well-being.
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http://dx.doi.org/10.1186/s13612-016-0040-8 | DOI Listing |
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Department of Phoniatrics and Pediatric Audiology, University Hospital Muenster, University of Muenster, 48149 Muenster, Germany.
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View Article and Find Full Text PDFPLoS One
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College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, RP China.
This study develops an innovative method for analyzing and clustering tonal trends in Chinese Yue Opera to identify different vocal styles accurately. Linear interpolation is applied to process the time series data of vocal melodies, addressing inconsistent feature dimensions. The second-order difference method extracts tonal trend features.
View Article and Find Full Text PDFBehav Sci (Basel)
January 2025
Department of Economics and Business, Faculty of Business and Communication Studies, University of Vic-Central University of Catalonia, 08500 Vic, Spain.
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View Article and Find Full Text PDFBehav Sci (Basel)
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Faculty of Economics, University of Kragujevac, 34000 Kragujevac, Serbia.
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