research-article

The Importance of Regulatory Fit & Early Success in a Human-Machine Game

Authors:

Emmanuel Johnson,

Jonathan Gratch,

David TraumAuthors Info & Claims

TechMindSociety '18: Proceedings of the Technology, Mind, and Society

Article No.: 31, Pages 1 - 6

https://doi.org/10.1145/3183654.3183661

Published: 05 April 2018 Publication History

Abstract

In this paper, we explore the potential of regulatory focus theory as a framework for personalizing human-machine interactions. We manipulate framing (gain or loss) of a collaborative word-guessing game where a fully-automated virtual human gives clues. Consistent with previous work on regulatory focus, we find evidence of significantly higher perceived task-success when participants have regulatory fit. Inconsistent with previous work, however, fit did not increase task-enjoyment (nor performance). Participants with gain framing had marginally higher enjoyment, regardless of their regulatory focus. We operationalize motivation by number of optional rounds played but failed to find a "fit" effect. Instead, players who achieved early success (scoring more points in initial rounds) were more motivated. Early success was significantly correlated with number of optional rounds played. This finding calls to attention the need for the literature to more thoroughly investigate the relationship between success-timing and total player playtime in the game.

References

[1]

Jennifer L Aaker and Angela Y Lee. 2006. Understanding regulatory fit. Journal of Marketing Research 43, 1 (2006), 15--19.

[2]

Joseph Cesario, Heidi Grant, and E Tory Higgins. 2004. Regulatory fit and persuasion: Transfer from "feeling right.". Journal of personality and social psychology 86, 3 (2004), 388.

[3]

Ellen Crowe and E Tory Higgins. 1997. Regulatory focus and strategic inclinations: Promotion and prevention in decision-making. Organizational behavior and human decision processes 69, 2 (1997), 117--132.

[4]

Caroline Faur, Philippe Caillou, Jean-Claude Martin, and Celine Clavel. 2015. A socio-cognitive approach to personality: Machine-learned game strategies as cues of regulatory focus. In Affective Computing and Intelligent Interaction (ACII), 2015 International Conference on. IEEE, 581--587.

Digital Library

[5]

Caroline Faur, Jean-Claude Martin, and Celine Clavel. 2015. Matching artificial agents' and users' personalities: designing agents with regulatory-focus and testing the regulatory fit effect. In CogSci.

[6]

Arnd Florack and Martin Scarabis. 2006. How advertising claims affect brand preferences and category-brand associations: The role of regulatory fit. Psychology and Marketing 23, 9 (2006), 741--755.

[7]

Jens Förster, E Tory Higgins, and Lorraine Chen Idson. 1998. Approach and avoidance strength during goal attainment: regulatory focus and the "goal looms larger" effect. Journal of personality and social psychology 75, 5 (1998), 1115.

[8]

Antonio L Freitas and E Tory Higgins. 2002. Enjoying goal-directed action: The role of regulatory fit. Psychological science 13, 1 (2002), 1--6.

[9]

Melvyn RW Hamstra, Nico W Van Yperen, Barbara Wisse, and Kai Sassenberg. 2011. Transformational-transactional leadership styles and followers? regulatory focus. Journal of Personnel Psychology (2011).

[10]

Arno Hartholt, David Traum, Stacy C Marsella, Ari Shapiro, Giota Stratou, Anton Leuski, Louis-Philippe Morency, and Jonathan Gratch. 2013. All together now. In Intelligent Virtual Agents (IVA). Springer, 368--381.

[11]

E Tory Higgins. 1996. The "self digest": self-knowledge serving self-regulatory functions. Journal of personality and social psychology 71, 6 (1996), 1062.

[12]

E Tory Higgins. 1998. Promotion and prevention: Regulatory focus as a motivational principle. Advances in experimental social psychology 30 (1998), 1--46.

[13]

E Tory Higgins. 2000. Making a good decision: value from fit. American psychologist 55, 11 (2000), 1217.

[14]

E Tory Higgins, Ronald S Friedman, Robert E Harlow, Lorraine Chen Idson, Ozlem N Ayduk, and Amy Taylor. 2001. Achievement orientations from subjective histories of success: Promotion pride versus prevention pride. European Journal of Social Psychology 31, 1 (2001), 3--23.

[15]

E Tory Higgins, Lorraine Chen Idson, Antonio L Freitas, Scott Spiegel, and Daniel C Molden. 2003. Transfer of value from fit. Journal of personality and social psychology 84, 6 (2003), 1140.

[16]

E Tory Higgins, James Shah, and Ronald Friedman. 1997. Emotional responses to goal attainment: strength of regulatory focus as moderator. Journal of personality and social psychology 72, 3 (1997), 515.

[17]

E Tory Higgins and Israela Silberman. 1998. Development of regulatory focus: Promotion and prevention as ways of living. (1998).

[18]

Jiewen Hong and Angela Y Lee. 2008. Be fit and be strong: Mastering self-regulation through regulatory fit. Journal of consumer research 34, 5 (2008), 682--695.

[19]

Angela Y Lee and Jennifer L Aaker. 2004. Bringing the frame into focus: the influence of regulatory fit on processing fluency and persuasion. Journal of personality and social psychology 86, 2 (2004), 205.

[20]

Jina Lee and Stacy Marsella. 2006. Nonverbal behavior generator for embodied conversational agents. In Intelligent virtual agents (IVA).

Digital Library

[21]

Nathan Lovato. 2017. 16 Things Game Developers Should do to Improve Player Retention. http://www.gamedonia.com/blog/16-things-game-developers-should-do-to-improve-player-retention. (2017). {Online; accessed 22-October-2017}.

[22]

Stacy Marsella, Jonathan Gratch, Ning Wang, and Brooke Stankovic. 2009. Assessing the validity of a computational model of emotional coping. In Affective Computing and Intelligent Interaction and Workshops, 2009. ACII 2009. 3rd International Conference on. IEEE, 1--8.

[23]

Eli Pincus, David DeVault, and David Traum. 2014. Mr. Clue-A virtual agent that can play word-guessing games. In Tenth Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE).

[24]

Eli Pincus and David Traum. 2017. An Incremental Response Policy in an Automatic Word-Game. In IVA 2017 Workshop on Conversational Interruptions in Human-Agent Interactions (CIHAI).

[25]

James Shah, Tory Higgins, and Ronald S Friedman. 1998. Performance incentives and means: how regulatory focus influences goal attainment. Journal of personality and social psychology 74, 2 (1998), 285.

[26]

Daan Alexander Stam, Daan Van Knippenberg, and Barbara Wisse. 2010. The role of regulatory fit in visionary leadership. Journal of Organizational Behavior 31, 4 (2010), 499--518.

Cited By

Shen JZhou XWu WWang LChen Z(2023)Worldwide Overview and Country Differences in Metaverse Research: A Bibliometric AnalysisSustainability10.3390/su1504354115:4(3541)Online publication date: 15-Feb-2023
https://doi.org/10.3390/su15043541
Toyoda YLucas GGratch JEl Fallah Seghrouchni ASukthankar GAn BYorke-Smith N(2020)The Effects of Autonomy and Task meaning in Algorithmic Management of CrowdworkProceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3398761.3398923(1404-1412)Online publication date: 5-May-2020
https://dl.acm.org/doi/10.5555/3398761.3398923
Files BPollard KOiknine APassaro AKhooshabeh P(2019)Prevention Focus Relates to Performance on a Loss-Framed Inhibitory Control TaskFrontiers in Psychology10.3389/fpsyg.2019.0072610Online publication date: 5-Apr-2019
https://doi.org/10.3389/fpsyg.2019.00726

Index Terms

The Importance of Regulatory Fit & Early Success in a Human-Machine Game
1. Human-centered computing
  1. Interaction design
    1. Empirical studies in interaction design

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TechMindSociety '18: Proceedings of the Technology, Mind, and Society

April 2018

143 pages

ISBN:9781450354202

DOI:10.1145/3183654

Copyright © 2018 ACM.

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 the author(s) 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].

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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New York, NY, United States

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Published: 05 April 2018

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TechMindSociety '18

TechMindSociety '18: Technology, Mind, and Society

April 5 - 7, 2018

DC, Washington, USA

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TechMindSociety '18 Paper Acceptance Rate 17 of 63 submissions, 27%;

Overall Acceptance Rate 17 of 63 submissions, 27%

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Cited By

Shen JZhou XWu WWang LChen Z(2023)Worldwide Overview and Country Differences in Metaverse Research: A Bibliometric AnalysisSustainability10.3390/su1504354115:4(3541)Online publication date: 15-Feb-2023
https://doi.org/10.3390/su15043541
Toyoda YLucas GGratch JEl Fallah Seghrouchni ASukthankar GAn BYorke-Smith N(2020)The Effects of Autonomy and Task meaning in Algorithmic Management of CrowdworkProceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems10.5555/3398761.3398923(1404-1412)Online publication date: 5-May-2020
https://dl.acm.org/doi/10.5555/3398761.3398923
Files BPollard KOiknine APassaro AKhooshabeh P(2019)Prevention Focus Relates to Performance on a Loss-Framed Inhibitory Control TaskFrontiers in Psychology10.3389/fpsyg.2019.0072610Online publication date: 5-Apr-2019
https://doi.org/10.3389/fpsyg.2019.00726

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