Abstract
Abstract. This study explores how motivational activation influences real-time selection behavior during picture viewing on a computer. We measured the trait level motivational reactivity (ASA and DSA) of 40 participants, who then viewed a series of pictures. Each participant was given the opportunity to select a new picture of either similar or different valence as the picture currently viewed. We recorded indicators of participants’ selection behavior: their propensity to change picture valence, ratio of pleasant to unpleasant pictures selected, and decision time (how long it took them to decide on the valence of the next picture). Results showed that motivational activation predicts each of these behavioral indicators, leading to some preliminary implications for online user experience as well as the suggestion that media outlets might consider variance in motivational activation when selecting online content.
References
1997). Beyond bipolar conceptualizations and measures: The case of attitudes and evaluative space. Personality and Social Psychology Review, 1(1), 3–25. https://doi.org/10.1207/s15327957pspr0101_2
(1999). The affect system has parallel and integrative processing components: Form follows function. Journal of Personality and Social Psychology, 76, 839–855. https://doi.org/10.1037/0022-3514.76.5.839
(1988). Statistical power analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates.
(1992). A power primer. Psychological Bulletin, 112(1), 155.
(2000). Appetitive nature of drug cues confirmed with physiological measures in a model using pictures of smoking. Psychopharmacology, 150, 283–291. https://doi.org/10.1007/s002130000404
(2008a). MediaLab (Version 2008.1) [Computer Software]. New York, NY: Empirisoft Corporation.
(2008b). DirectRT (Version 2008.1) [Computer Software]. New York, NY: Empirisoft Corporation.
(2007). The Motivation Activation Measure (MAM): How well does MAM predict individual differences in physiological indicators of appetitive and aversive activation? Communication Methods and Measures, 1, 113–136. https://doi.org/10.1080/19312450701399370
(2011). miniMAM: Validating a short version of the Motivation Activation Measure. Communication Methods and Measures, 5(2), 146–162.
(2005). Sensation seeking, motivation, and substance use: A dual system approach. Media Psychology, 7(1), 1–29.
(2009). Motivational Activation Measure (MAM): Technical manual and normative ratings. Bloomington, IN: Taylot & Francis.
(2011). Individual differences in motivational activation influence responses to pictures of taboo products. Journal of Health Communication, 16, 1072–1087. https://doi.org/10.1080/10810730.2011.571336
(2008). International affective picture system (IAPS): Affective ratings of pictures and instruction manual. Technical Report A-8.
(2011). Correlating a motivation-activation measure with media preference. Journal of Broadcasting & Electronic Media, 55(3), 400–418. https://doi.org/10.1080/08838151.2011.597468
(1992). Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42(4), 73–93. https://doi.org/10.1111/j.1460-2466.1992.tb00812.x
(2004). Theorizing interactivity’s effects. The Information Society, 20(5), 385–389. https://doi.org/10.1080/01972240490508072
(2013). “Window” shopping online: Cognitive processing of general and specific product windows. Journal of Interactive Advertising, 13(2), 88–96. https://doi.org/10.1080/15252019.2013.826550
(2010). Emotional responses during social information seeking on Facebook. Cyberpsychology, Behavior, and Social Networking, 13(5), 555–562. https://doi.org/10.1089/cyber.2009.0365
(2007). The effect of user control on the cognitive and emotional processing of pictures. Media Psychology, 9, 549–566. https://doi.org/10.1080/15213260701283186
(2009). The effect of searching versus surfing on cognitive and emotional responses to online news. Journal of Media Psychology, 21(2), 49–59. https://doi.org/10.1027/1864-1105.21.2.49
(2014). Multitasking on a single device: Arousal and the frequency, anticipation, and prediction of switching between media content on a computer. Journal of Communication, 64(1), 167–192. https://doi.org/10.1111/jcom.12070
(1994). Behavioral expressions and biosocial bases of sensation seeking. New York, NY: Cambridge University Press.
(1988). Sensation seeking and stimulus intensity as modulators of cortical, cardiovascular, and electrodermal response: A cross-modality study. Personality and Individual Differences, 9(2), 361–372. https://doi.org/10.1016/0191-8869(88)90099-2
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