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Relevant bibliographies by topics / Mood (psychology)

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Academic literature on the topic 'Mood (psychology)'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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Journal articles on the topic "Mood (psychology)"

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Eich, Eric, and Dawn Macaulay. "Are Real Moods Required to Reveal Mood-Congruent and Mood-Dependent Memory?" Psychological Science 11, no. 3 (May 2000): 244–48. http://dx.doi.org/10.1111/1467-9280.00249.

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While simulating, or acting as if, they were either happy or sad, university students recounted emotionally positive, neutral, or negative events from their personal past. Two days later, subjects were asked to freely recall the gist of all of these events, and they did so while simulating a mood that either did or did not match the one they had feigned before. By comparing the present results with those of a previous study, in which affectively realistic and subjectively convincing states of happiness and sadness had been engendered experimentally, we searched for—and found—striking differences between simulated and actual moods in their impact on autobiographical memory. In particular, it appears that the mood-congruent effects elicited by simulated moods are qualitatively different from those evoked by induced moods, and that only authentic affects have the power to produce mood-dependent effects.

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Siemer, Matthias. "Mood-congruent cognitions constitute mood experience." Emotion 5, no. 3 (2005): 296–308. http://dx.doi.org/10.1037/1528-3542.5.3.296.

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Erber, Ralph, and Maureen Wang Erber. "Beyond mood and social judgment: Mood incongruent recall and mood regulation." European Journal of Social Psychology 24, no. 1 (January 1994): 79–88. http://dx.doi.org/10.1002/ejsp.2420240106.

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Gendolla, Guido H. E. "The Impact of Mood on Affect Regulation." Swiss Journal of Psychology 71, no. 2 (January 2012): 59–65. http://dx.doi.org/10.1024/1421-0185/a000071.

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Drawing on the mood-behavior model ( Gendolla, 2000 ), I predicted that both negative and positive moods evoke a stronger need for hedonic affect regulation than a so-called neutral mood. To test this hypothesis, participants were induced into a positive, neutral, or negative mood by autobiographical recollection and then selected which of three films they wanted to watch. The films varied in the extent of their potential for hedonic affect regulation. As expected, preferences for a pleasant film were higher in both positive and negative moods than in a neutral mood and the positive and negative mood conditions did not differ. Furthermore, a regression analysis found that the preference for a pleasant film was related to mood intensity. Implications for other models of affect regulation are discussed.

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De Choudhury, Munmun, Scott Counts, and Michael Gamon. "Not All Moods Are Created Equal! Exploring Human Emotional States in Social Media." Proceedings of the International AAAI Conference on Web and Social Media 6, no. 1 (August 3, 2021): 66–73. http://dx.doi.org/10.1609/icwsm.v6i1.14279.

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Emotional states of individuals, also known as moods, are central to the expression of thoughts, ideas and opinions, and in turn impact attitudes and behavior. As social media tools are increasingly used by individuals to broadcast their day-to-day happenings, or to report on an external event of interest, understanding the rich ‘landscape’ of moods will help us better interpret and make sense of the behavior of millions of individuals. Motivated by literature in psychology, we study a popular representation of human mood landscape, known as the ‘circumplex model’ that characterizes affective experience through two dimensions: valence and activation. We identify more than 200 moods frequent on Twitter, through mechanical turk studies and psychology literature sources, and report on four aspects of mood expression: the relationship between (1) moods and usage levels, including linguistic diversity of shared content (2) moods and the social ties individuals form, (3) moods and amount of network activity of individuals, and (4) moods and participatory patterns of individuals such as link sharing and conversational engagement. Our results provide at-scale naturalistic assessments and extensions of existing conceptualizations of human mood in social media contexts.

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Lane, Andrew M., Peter C. Terry, Christopher J. Beedie, and Matthew Stevens. "Mood and concentration grid performance: Effects of depressed mood." International Journal of Sport and Exercise Psychology 2, no. 2 (January 2004): 133–45. http://dx.doi.org/10.1080/1612197x.2004.9671737.

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HARTIG, TERRY, LARS NYBERG, LARS-GÖRAN NILSSON, and TOMMY GÄRLING. "TESTING FOR MOOD CONGRUENT RECALL WITH ENVIRONMENTALLY INDUCED MOOD." Journal of Environmental Psychology 19, no. 4 (December 1999): 353–67. http://dx.doi.org/10.1006/jevp.1999.0142.

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Kenealy, Pamela M. "Mood State-Dependent Retrieval: The Effects of Induced Mood on Memory Reconsidered." Quarterly Journal of Experimental Psychology Section A 50, no. 2 (May 1997): 290–317. http://dx.doi.org/10.1080/713755711.

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Analysis of studies investigating mood-state-dependent retrieval identifies methodological problems that may have contributed to the controversy surrounding the reliability of the effect—in particular, the possible confounding of encoding and retrieval in previous studies. Five experiments are reported investigating the effects of mood on learning and recall. Mood-state-dependent retrieval was observed in Experiment 1a (using Velten's Mood Induction Procedure); Experiment 1b (using a music MIP); and Experiment 1c (using Velten's MIP at encoding and a music MIP at retrieval). Subjects who learned and recalled in different moods had significantly greater decrements in recall than did subjects in the same moods. Experiments 2 and 3 investigated the effect of observable retrieval cues on mood state-dependent retrieval. In Experiment 2, the presence of observable retrieval cues at recall overrode state-dependent retrieval. In Experiment 3, by manipulating the presence or absence of observable cues at recall, both the occurrence and the erasure of the mood-state dependency was demonstrated. Moodstate during learning and cued recall was also shown to affect performance in a third session under conditons of free recall.

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Siemer, Matthias. "Mood Experience: Implications of a Dispositional Theory of Moods." Emotion Review 1, no. 3 (June 10, 2009): 256–63. http://dx.doi.org/10.1177/1754073909103594.

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The core feature that distinguishes moods from emotions is that moods, in contrast to emotions, are diffuse and global. This article outlines a dispositional theory of moods (DTM) that accounts for this and other features of mood experience. DTM holds that moods are temporary dispositions to have or to generate particular kinds of emotion-relevant appraisals. Furthermore, DTM assumes that the cognitions and appraisals one is disposed to have in a given mood partly constitute the experience of mood. This article outlines a number of implications of DTM (e.g., regarding the noncognitive causation and rationality of moods) and summarizes empirical results supporting the theory.

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Rottenberg, Jonathan. "Mood and Emotion in Major Depression." Current Directions in Psychological Science 14, no. 3 (June 2005): 167–70. http://dx.doi.org/10.1111/j.0963-7214.2005.00354.x.

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Nothing is more familiar to people than their moods and emotions. Oddly, however, it is not clear how these two kinds of affective processes are related. Intuitively, it makes sense that emotional reactions are stronger when they are congruent with a preexisting mood, an idea reinforced by contemporary emotion theory. Yet empirically, it is uncertain whether moods actually facilitate emotional reactivity to mood-congruent stimuli. One approach to the question of how moods affect emotions is to study mood-disturbed individuals. This review describes recent experimental studies of emotional reactivity conducted with individuals suffering from major depression. Counter to intuitions, major depression is associated with reduced emotional reactivity to sad contexts. A novel account of emotions in depression is advanced to assimilate these findings. Implications for the study of depression and normal mood variation are considered.

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Dissertations / Theses on the topic "Mood (psychology)"

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Wegener, Duane Theodore. "Mood and Activity Choice: Comparisons of Mood-Management Across Affective States." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1391781795.

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Buckingham, Sarah. "An empirical investigation of mood regulation description, structure and mood correlates /." Swinburne Research Bank, 2006. http://hdl.handle.net/1959.3/4477.

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Thesis (BA(Hons) (Psychology)) - Faculty of Life and Social Sciences, Swinburne University of Technology, 2006.
"October 2006". A thesis is submitted in fulfillment of the requirements for the degree BA (Honours), [Faculty of Life and Social Sciences], Swinburne University of Technology - 2006. Typescript.

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Kim, Min Young. "Mood and risk-taking judgment: The role of mood regulation." Thesis, Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22541.

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During the past decade, there has been increased attention on the role of mood on risk-taking and judgment. According to Isen¡¯s (1987) mood-maintenance hypothesis, individuals in a negative mood state tend to take greater risks than individuals in a neutral or positive mood state in order to improve their mood. In contrast, however, theorizing and research derived from an information-processing perspective indicates that individuals in a negative mood are more likely to engage in deliberate cognitive processes directed toward avoiding risk. This study seeks to resolve the discrepancy between these two perspectives by examining the influence of systematic cognitive processing as a mood regulation strategy (Forgas, 1998). Negative mood states were induced using a standardized film clip procedure. Participants then completed a risk-taking questionnaire either immediately following the induction, after performing a moderately difficult word anagram task, or after a delay period. As expected, participants in the anagram task condition showed lower levels of risk-taking preference than participants in the immediate judgment and delayed task conditions. Implications and future research directions for research in risk-taking and mood regulation are discussed.

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Goldie, Peter. "Emotion, mood and character." Thesis, University of Oxford, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.361868.

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Tobias, Betsy Ann 1957. "The effects of explicit and interactive encoding of mood and stimuli on mood-dependent memory." Thesis, The University of Arizona, 1990. http://hdl.handle.net/10150/291696.

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The effects of explicitly attending to mood during encoding (rating mood) and interactive encoding of mood and stimuli (writing sentences relating the stimuli to encoding mood) on mood-dependent memory for neutral stimuli were examined. It was proposed that these manipulations would both increase the probability that mood state was encoded and increase the strength of the mood-stimuli link in memory thereby enhancing mood-dependent memory. A two list interference paradigm was used where subjects studied two lists of words in two different moods (happy and sad). Recall for both lists was tested while subjects were in one of the two moods. Mood was manipulated by a musical mood induction procedure. Control groups rated pictures for attractiveness and wrote sentences relating the stimuli to a non-moodrelated construct. Mood-dependent memory was not found in any of the conditions. Methodological and theoretical explanations for failure to find mood-dependency along with proposals for future research were discussed.

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Calderón, Robert Franciscus. "Mood and performance appraisal quality." The Ohio State University, 1998. http://rave.ohiolink.edu/etdc/view?acc_num=osu1282749923.

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Irobunda, Cynthia. "The Effect of Mood on Persuasion: The Role of Music and Dance in Mood Induction." Scholarship @ Claremont, 2018. http://scholarship.claremont.edu/scripps_theses/1090.

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Previous literature has shown how mood influences persuasion. The aim of this study is to investigate how the persuasion and elaboration of strong and weak arguments are increased or decreased by positive and negative moods, that will be induced through distinct video selections. Participants will be asked to watch a video that incorporates specific music and dancing to induce a positive or negative mood. This study is a 2 mood induction (positive vs. negative) X 2 argument strength (strong vs. weak) design. The results of the two-way ANOVA will show that elaboration is suspected to decrease when one is in a positive mood, but increase in a negative mood. Strong arguments are expected to be more persuasive than weak arguments. Mood and dance will successfully induce positive and negative mood. Mood and argument strength will influence persuasion and elaboration. Implications for this study are expected to further research on how to use music and dance in persuasive appeals, and how mood plays a role in emotional decision-making, especially within advertisements.

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Harper, Bridgette. "Mood, Social Goals and Children's Outcome Expectancies." TopSCHOLAR®, 2001. http://digitalcommons.wku.edu/theses/661.

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Past research suggests that emotions, arousal, and goals affect how children reason in social situations, but, thus far, there has been very little research on how these variables interact. It has been hypothesized that emotion could affect any area of social information processing directly, but it has also been hypothesized that emotion might have an indirect effect on social information processing. Therefore, a primary hypothesis of the current study was whether emotion influences each step of social information processing directly or whether emotion influences social information processing indirectly by first influencing goal orientations which, in turn, influence the other areas of social information processing. Because there is evidence that aggressive children's social information processing may be disrupted by negative mood, I also examined whether mood affects aggressive children's social information processing more than that of nonaggressive children. The participants were 480 ungraded primary children enrolled in five different elementary schools from two school districts. Participants were tested in two sessions on different days. The first session consisted of sociometric testing. The second session consisted of a mood induction procedure, in which children were induced to feel either angry, happy, or neutral, followed by the response evaluation interview. Three provocation vignettes were presented, and after each vignette, competent, hostile, and inept responses were presented one at a time. For each type of response, children were asked to evaluate the instrumental and social relational consequences as well as the ease/difficulty of performing the response. Results from the current study provide further support for the hypothesis that emotion affects social information processing indirectly by first influencing children's goals which then affect social information processing. It also provides evidence that children's goals for certain situations are actually better predictors of children's selfefficacy beliefs than are children's social statuses. Our study also found results similar to past research that suggested rejected-aggressive children are more sensitive to negative arousal than are accepted-nonaggressive children. The current study did not include the negative emotions sadness and fear. Like anger, sadness and fear are also states of negative arousal; however they could induce a different set of goals and self-efficacy beliefs than does anger. Hence, more research that includes the study of sadness and fear is needed. The current study revealed an indirect influence of emotion on response evaluations. However, nothing is known about the effect of emotion on the other steps of social information processing, such as encoding of information, attribution of intent and response selection. It could be, that, rather than indirectly affecting encoding and attribution of intent, emotion could directly affect how children encode information from their environment and the attribution of their peers' intentions. Because little is known about the effect of emotion on these steps of social information processing, future research should investigate this area further.

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Chong, Florenca. "Effects of mood induction on reasoning." Thesis, University of Macau, 2012. http://umaclib3.umac.mo/record=b2588829.

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Kenealy, P. M. "The effects of mood on memory." Thesis, Bucks New University, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.355919.

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Books on the topic "Mood (psychology)"

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1958-, Parkinson Brian, ed. Changing moods: The psychology of mood and mood regulation. London: Addison Wesley Longman, 1996.

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Morris, William N. Mood: The frame ofmind. New York: Springer-Verlag, 1989.

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Morris, William N. Mood: The frame of mind. New York: Springer-Verlag, 1989.

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V, Clark Anita, ed. Mood state and health. New York: Nova Biomedical Books, 2005.

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Vayda, William. Mood foods. Berkeley, CA: Ulysses Press, 1995.

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Ross, Julia. The Mood Cure. New York: Penguin Group USA, Inc., 2008.

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Thayer, Robert E. The biopsychology of mood and arousal. New York: Oxford University Press, 1989.

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Somer, Elizabeth. Food and mood: The complete guide to eating well and feeling your best. New York: Holt, 1995.

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Thayer, Robert E. The biopsychology of mood and arousal. New York: Oxford University Press, 1989.

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Caputo, Annalisa. Pensiero e affettività: Heidegger e le Stimmungen (1889-1928). Milano: F. Angeli, 2001.

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Book chapters on the topic "Mood (psychology)"

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Raskin, Jonathan D. "Mood Problems." In Abnormal Psychology, 138–75. London: Macmillan Education UK, 2019. http://dx.doi.org/10.1057/978-1-137-54717-0_5.

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Ningjian, Liang. "Mood." In The ECPH Encyclopedia of Psychology, 1. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6000-2_973-1.

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McDonald, David G., and James A. Hodgdon. "Mood Studies." In Recent Research in Psychology, 78–100. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3182-0_6.

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Capaldi, Deborah M., and Gerald R. Patterson. "Child Depressed Mood." In Recent Research in Psychology, 193–209. New York, NY: Springer New York, 1989. http://dx.doi.org/10.1007/978-1-4612-3562-0_12.

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Harley, Trevor. "Weather and Mood." In The Psychology of Weather, 1–17. 1 Edition. | New York : Routledge, 2019.: Routledge, 2018. http://dx.doi.org/10.4324/9781351185059-1.

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Berger, Bonnie G., and David A. Tobar. "Exercise and Mood Alteration." In Applied Exercise Psychology, 74–100. 2nd ed. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003279587-8.

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Töreki, Annamária, and Emőke Hompoth. "Perinatal mood disorders." In Clinical health psychology in practice, 123–37. Szeged, Hungary: Szegedi Egyetemi Kiadó, 2022. http://dx.doi.org/10.14232/sztep.chpp.2022.9.

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Forgas, Joseph P. "Mood Effects on Sociability." In The Psychology of Sociability, 258–83. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003258582-18.

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Tiffon, Bernat-N. "Mood (Affective) Disorders." In Atlas of Forensic and Criminal Psychology, 35–106. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.4324/9781003092223-6.

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Davila, Joanne, Lisa R. Starr, Catherine B. Stroud, and Y. Irina Li. "Mood and anxiety disorders." In APA handbook of contemporary family psychology: Applications and broad impact of family psychology (Vol. 2)., 21–36. Washington: American Psychological Association, 2019. http://dx.doi.org/10.1037/0000100-002.

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Conference papers on the topic "Mood (psychology)"

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Boinepelli, Sravani, Shivansh Subramanian, Abhijeeth Singam, Tathagata Raha, and Vasudeva Varma. "Towards Capturing Changes in Mood and Identifying Suicidality Risk." In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.clpsych-1.24.

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Mehraei, Mani. "Investigating the Influence of Movie Genre on Mood Using Nonparametric Methods." In The Asian Conference on Psychology & the Behavioral Sciences 2022. The International Academic Forum(IAFOR), 2022. http://dx.doi.org/10.22492/issn.2187-4743.2022.4.

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Kirinde Gamaarachchige, Prasadith, Ahmed Husseini Orabi, Mahmoud Husseini Orabi, and Diana Inkpen. "Multi-Task Learning to Capture Changes in Mood Over Time." In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.clpsych-1.22.

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Lin, Hung-Chou, and Sheng-Hsien Lee. "Effects of Mood States on Variety Seeking: the Moderating Roles of Product Types." In Annual International Conference on Cognitive and Behavioral Psychology. Global Science and Technology Forum (GSTF), 2012. http://dx.doi.org/10.5176/2251-1865_cbp12.

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Alhamed, Falwah, Julia Ive, and Lucia Specia. "Predicting Moments of Mood Changes Overtime from Imbalanced Social Media Data." In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.clpsych-1.23.

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Haustova, V., and Olga Pecherskaya. "PSYCHOLOGICAL ASPECT IN ECONOMIC PROCESSES. THE CONCEPT OF ECONOMIC PSYCHOLOGY." In Manager of the Year. FSBE Institution of Higher Education Voronezh State University of Forestry and Technologies named after G.F. Morozov, 2022. http://dx.doi.org/10.34220/my2021_316-320.

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This article examines the relationship between economic science and psychology, how the processes of the human psyche, perception and certain economic processes influence each other. In the course of economic activity, a person manifests himself as a source of various habits, behavior, mood. Economic psychology tries to explain the behavior of an individual in various situations, proceeding from the fact that a person is rational and determines in advance possible positive or negative results for himself.

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Bucur, Ana-maria, Hyewon Jang, and Farhana Ferdousi Liza. "Capturing Changes in Mood Over Time in Longitudinal Data Using Ensemble Methodologies." In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.clpsych-1.18.

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Coppersmith, Glen, Alex Fine, Patrick Crutchley, and Joshua Carroll. "Individual Differences in the Movement-Mood Relationship in Digital Life Data." In Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access. Stroudsburg, PA, USA: Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/2021.clpsych-1.3.

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Nunokawa, Masako. "Impact on Short-term Mood by Two Factors of Browsing “Kawaii” Objects and Linguistic Communications." In The Asian Conference on Psychology & the Behavioral Sciences 202. The International Academic Forum(IAFOR), 2021. http://dx.doi.org/10.22492/issn.2187-4743.2021.7.

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Culnan, John, Damian Romero Diaz, and Steven Bethard. "Exploring transformers and time lag features for predicting changes in mood over time." In Proceedings of the Eighth Workshop on Computational Linguistics and Clinical Psychology. Stroudsburg, PA, USA: Association for Computational Linguistics, 2022. http://dx.doi.org/10.18653/v1/2022.clpsych-1.21.

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Reports on the topic "Mood (psychology)"

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Makhachashvili, Rusudan K., Svetlana I. Kovpik, Anna O. Bakhtina, and Ekaterina O. Shmeltser. Technology of presentation of literature on the Emoji Maker platform: pedagogical function of graphic mimesis. [б. в.], July 2020. http://dx.doi.org/10.31812/123456789/3864.

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The article deals with the technology of visualizing fictional text (poetry) with the help of emoji symbols in the Emoji Maker platform that not only activates students’ thinking, but also develops creative attention, makes it possible to reproduce the meaning of poetry in a succinct way. The application of this technology has yielded the significance of introducing a computer being emoji in the study and mastering of literature is absolutely logical: an emoji, phenomenologically, logically and eidologically installed in the digital continuum, is separated from the natural language provided by (ethno)logy, and is implicitly embedded into (cosmo)logy. The technology application object is the text of the twentieth century Cuban poet José Ángel Buesa. The choice of poetry was dictated by the appeal to the most important function of emoji – the expression of feelings, emotions, and mood. It has been discovered that sensuality can reconstructed with the help of this type of meta-linguistic digital continuum. It is noted that during the emoji design in the Emoji Maker program, due to the technical limitations of the platform, it is possible to phenomenologize one’s own essential-empirical reconstruction of the lyrical image. Creating the image of the lyrical protagonist sign, it was sensible to apply knowledge in linguistics, philosophy of language, psychology, psycholinguistics, literary criticism. By constructing the sign, a special emphasis was placed on the facial emogram, which also plays an essential role in the transmission of a wide range of emotions, moods, feelings of the lyrical protagonist. Consequently, the Emoji Maker digital platform allowed to create a new model of digital presentation of fiction, especially considering the psychophysiological characteristics of the lyrical protagonist. Thus, the interpreting reader, using a specific digital toolkit – a visual iconic sign (smile) – reproduces the polylaterial metalinguistic multimodality of the sign meaning in fiction. The effectiveness of this approach is verified by the poly-functional emoji ousia, tested on texts of fiction.

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