# data[].attributes.headline
FIRST: Do the following for each article Create a POST

# data[].attributes.subject
FIRST: Do the following for each article Create a POST

# data[].attributes.body
1. Select CANVAS format

2. Label the POST with Authors' last names

3. List KEY variables and operational definition for each

4. Put your name at the bottom of each POST.

5. Add hyplink to the article

6. Each student will have 2 POSTS (because you each need 2 articles)

7. SHARE PADLET WITH ME

# data[].attributes.body
Key variable 1: Technology usage : Operational definition

Key variable 2: Emotional well-being: Operational definition

Key variable 3: Digital emotion regulation:  Operational definition

Emily's article

# data[].attributes.attachment_link.readable_text
People routinely regulate their emotions in order to function more effectively at work, to behave more appropriately in social situations, or simply to feel better. Recently, researchers have begun to examine how people shape their affective states using digital technologies, such as smartphones. In this article, we discuss the emergence of digital emotion regulation, both as a widespread behavioral phenomenon and a new cross-disciplinary field of research. This field bridges two largely distinct areas of enquiry: (a) psychological research into how and why people regulate their emotions, which has yet to systematically explore the role of digital technology, and (b) computing research into how digital technologies impact users' emotions, which has yet to integrate psychological theories of emotion regulation. We argue that bringing these two areas into better contact will benefit both and will facilitate a deeper understanding of the nature and significance of digital emotion regulation.

References

Alter, A. (2017). Irresistible: Why we can't stop checking, scrolling, clicking and watching. New York, NY: Penguin Press.
Google Scholar

Atzori, B., Hoffman, H. G., Vagnoli, L., Messeri, A., Grotto, R. L. (2019). Virtual reality as distraction technique for pain management in children and adolescents. In Khosrow-Pour, M. (Ed.), Advanced methodologies and technologies in medicine and healthcare (pp. 483-494). Hershey, PA: IGI Global.
Google Scholar

Bui, M., Kemp, E. (2013). E-tail emotion regulation: Examining online hedonic product purchases. International Journal of Retail and Distribution Management, 41, 155-170. doi:
Google Scholar

Castillo, J. C., Castro-González, Á., Alonso-Martín, F., Fernández-Caballero, A., Salichs, M. Á. (2018). Emotion detection and regulation from personal assistant robot in smart environment. In Costa, A., Julian, V., Novais, P. (Eds.), Personal assistants: Emerging computational technologies (pp. 179-195). Amsterdam, The Netherlands: Springer.
Google Scholar

Collins, E., Cox, A. L. (2014). Switch on to games: Can digital games aid post-work recovery? International Journal of Human Computer Studies, 72, 654-662. doi:
Google Scholar

DeNora, T. (2000). Music in everyday life. Cambridge, England: Cambridge University Press.
Google Scholar

Dourish, P., Finlay, J., Sengers, P., Wright, P. (2004). Reflective HCI: Towards a critical technical practice: Evaluating technologies for ludic engagement. In Dykstra-Erickson, E., Tscheligi, M. (Chairs), Conference on human factors in computing systems: CHI'04 extended abstracts on human factors in computing systems (pp. 1727-1728). New York, NY: Association for Computing Machinery.
Google Scholar

Eriksson, M., Johansson, A. (2017). "Keep smiling!" Time, functionality and intimacy in Spotify's featured playlists. Cultural Analysis, 16, 67-82.
Google Scholar

Ethnography Matters . (2015, February 9). The addiction algorithm: An interview with Natasha Dow Schüll. Retrieved from http://ethnographymatters.net/blog/2015/02/09/the-addiction-algorithm/
Google Scholar

Morris, R. R., Schueller, S. M., Picard, R. W. (2015). Efficacy of a web-based, crowdsourced peer-to-peer cognitive reappraisal platform for depression: Randomized controlled trial. Journal of Medical Internet Research, 17(3), Article e72. doi:
Google Scholar

Myrick, J. G. (2015). Emotion regulation, procrastination, and watching cat videos online: Who watches Internet cats, why, and to what effect? Computers in Human Behavior, 52, 168-176. doi:
Google Scholar

Paredes, P., Zhou, Y., Hamdan, N. A.-H., Balters, S., Murnane, E., Ju, W., Landay, J. (2018). Just breathe: In-car interventions for guided slow breathing. In Santini, S. (Ed.), Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(1), Article 28. doi:
Google Scholar

Schüll, N. D. (2014). Addiction by design: Machine gambling in Las Vegas. Princeton, NJ: Princeton University Press.
Google Scholar

# data[].attributes.attachment_link.title
Digital Emotion Regulation - Greg Wadley, Wally Smith, Peter Koval, James J. Gross, 2020

# data[].attributes.attachment_link.description
People routinely regulate their emotions in order to function more effectively at work, to behave more appropriately in social situations, or simply to feel better. Recently, researchers have begun to examine how people shape their affective states using digital technologies, such as smartphones.

# data[].attributes.body
Key variable 1: Current cat ownership:  Operational definition

Key variable 2: Emotional well-being: Operational definition

Key variable 3: Personality types  Operational definition

Emily's article

# data[].attributes.attachment_link.readable_text
Highlights

*

A survey of nearly 7000 Internet users tested associations between personality traits, past behavior, and viewing cat-related media online.

*

The study also examined Internet users' motivations for consuming cat-related content, including emotion regulation and procrastination.

*

Additionally, it explored effects of Internet cat consumption on emotional states and enjoyment of this type of digital media.

*

Results point to certain personality types being more strongly associated with Internet cat consumption.

*

Furthermore, results support a conceptual model arguing that the happiness gained from viewing Internet cats can moderate the relationship between procrastination motives, guilt, and enjoyment.

Abstract

Anecdotes abound about the frequent use of the Internet to view cat-related media. Yet, research has yet to seriously address this popular culture phenomenon rooted largely in social media platforms. It is possible that viewing of online cat media improves mood, but this activity may also foster negative outcomes linked to using the Internet for procrastination. The present survey of Internet users ( N = 6795) explored the correlates of viewing "Internet cats," motivations for consuming this media, and its potential effects on users. It also tested a conceptual model predicting enjoyment as a function of the relationships between procrastination, guilt, and happiness. Results reveal significant relationships between viewing and personality types and demonstrate conceptual nuances related to the emotional benefits of watching Internet cats.

View full text

# data[].attributes.attachment_link.title
Emotion regulation, procrastination, and watching cat videos online: Who watches Internet cats, why, and to what effect?

# data[].attributes.attachment_link.description
A survey of nearly 7000 Internet users tested associations between personality traits, past behavior, and viewing cat-related media online. * The study also examined Internet users' motivations for consuming cat-related content, including emotion regulation and procrastination. * Additionally, it explored effects of Internet cat consumption on emotional states and enjoyment of this type of digital media.