The Contributions of Emotion and Reward to Aesthetic Judgment of Visual Art

It has long been assumed that emotions play an important role in our interactions with artworks. Similarly, how rewarding we find an artwork could also be an important driver of our aesthetic preference for it. Vartanian and Goel (2004) tested this idea by presenting participants with images of paintings in the functional magnetic resonance imaging (fMRI) scanner, recording brain activation as they viewed and rated them on aesthetic preference. Their results demonstrated that activation in brain regions that encode reward and emotions—including the caudate nucleus, cingulate sulcus, and the visual cortex—covaried with preference ratings assigned to the paintings. This study represented an early example of how brain imaging could be used to test theoretically derived predictions from empirical aesthetics. Indeed, data from that study and several others since have accumulated to demonstrate that emotions and rewards are a cornerstone of our aesthetic experiences in relation to artworks and other classes of stimuli.

EXPRESS: Instrumental learning in social interactions: trait learning from faces and voices

Recent research suggests that reinforcement learning may underlie trait formation in social interactions with faces (Hackel, Doll, & Amodio, 2015; Hackel, Mende-Siedlecki, & Amodio, 2020). The current study investigated whether the same learning mechanisms could be engaged for trait learning from voices. On each trial of a training phase, participants (N = 192) chose from pairs of human or slot machine targets that varied in the 1) reward value and 2) generosity of their payouts. Targets were either auditory (voices or tones; Experiment 1) or visual (faces or icons; Experiment 2), and were presented sequentially before payout feedback. A test phase measured participant choice behaviour, and a post-test recorded their target preference ratings. For auditory targets, we found no effect of reward or generosity on target choices, but saw higher preference ratings for generous humans and slot machines. For visual targets, participants learned about both generosity and reward, but generosity was prioritised in the human condition. These findings demonstrate that (1) reinforcement learning of trait information with visual stimuli remains intact even when sequential presentation introduces a delay in feedback and (2) learning about traits and reward in such paradigms is weakened when auditory stimuli are used.

Effects of Personalized and Aggregate Top-N Recommendation Lists on User Preference Ratings

Prior research has shown a robust effect of personalized product recommendations on user preference judgments for items. Specifically, the display of system-predicted preference ratings as item recommendations has been shown in multiple studies to bias users’ preference ratings after item consumption in the direction of the predicted rating. Top-N lists represent another common approach for presenting item recommendations in recommender systems. Through three controlled laboratory experiments, we show that top-N lists do not induce a discernible bias in user preference judgments. This result is robust, holding for both lists of personalized item recommendations and lists of items that are top-rated based on averages of aggregate user ratings. Adding numerical ratings to the list items does generate a bias, consistent with earlier studies. Thus, in contexts where preference biases are of concern to an online retailer or platform, top-N lists, without numerical predicted ratings, would be a promising format for displaying item recommendations.

Parties’ Preferences for Office and Policy Goals

Although parties’ preferences for office and policy goals have been featured by many rational choice models of party behavior and a majority of coalition theories, the literature still lacks a measure and a comprehensive analysis of how parties’ preferences vary among parties and across countries. This study aims to fill this gap by presenting the results of an original expert survey protocol, which finds that parties pursue both goals simultaneously as office is sought both as and an end and as a means to affect policy, and that the degree to which they prefer policy versus office objectives varies across parties and countries. I provide an application of the preference ratings for policy versus office in the context of government formation, by using the ratings to solve for and predict the equilibrium coalition that should have formed in Spain after the 2015 elections. The government predicted by the model matches the government that formed, providing evidence of the ability of the preference ratings to generate reliable predictions of the composition of government coalitions.

User Preferences for Privacy Protection Methods in Mobile Health Apps: A Mixed-Methods Study

Background: Mobile health (mHealth) apps have the potential to facilitate convenient health care delivery and self-management of health. However, many users have concerns about their privacy when they use mHealth apps. Different apps provide different solutions for protecting users’ privacy. Objective: The purpose of this study was to determine user preferences among the several privacy protection methods used in current mHealth apps and the reasons behind their preferences. Methods: Five privacy protection methods currently used in mHealth apps were presented to a group of study participants who had mild or moderate depression and expressed concerns about privacy of information when they used mental health apps. After a demonstration of the methods, study participants were asked to fill out a questionnaire and indicate their perceived privacy protection level (PPPL) of each method, their preference rating for each method, and the privacy protection methods they had used in the past. A brief interview was then conducted to collect study participants’ comments on these methods and elicit the reasons for their preference ratings. Statistical analysis was performed to determine the statistical significance of differences in participants’ preference ratings and in the PPPLs obtained for the five methods. Study participants’ comments on the privacy protection methods and suggestions were noted and summarized. Results: Forty (40) study participants were selected from a large candidate pool using the IRB approved selection criteria. All study participants viewed the app demonstration and understood the five privacy protection methods properly, which was indicated by their correct sorting of the PPPL of the five methods in their answers to the questionnaire. All study participants specified their preferences with respect to these methods and provided the rationale behind their selections on the questionnaire and during the brief interview. The results indicate that the users preferred privacy protection methods with customizable modules in multi-purpose apps because of their convenience and strong privacy protection, where the customization can be done either in the app or via a Web portal. Conclusions: This study identified user preferred privacy protection methods. These identified privacy protection methods may be used in many types of apps that perform sensitive health information management to better protect users’ privacy and encourage more users to adopt these mHealth apps.

Patterns of preference importance ratings among African-American and White nursing home residents

Background: The Preferences for Everyday Living Inventory (PELI) was developed to assess the psychosocial preferences of older adults receiving home care (PELI-HC) and then revised for nursing home residents (PELI-NH). While the PELI-HC has been tested to identify patterns in preference ratings by race, the PELI-NH has not. We sought to explore whether the PELI-NH tool captures differences in preference ratings of African-American and White NH residents. Methods: Preference assessment interviews were conducted with NH residents (n = 317). Analysis via a Mann-Whitney U test, results show that 46 of 72 (63.88%) a preference importance items were not statistically different between African-American and White NH residents. Additionally, African-Americans reported greater importance than White older adult NH residents in 26 of 72 (36%) preference importance items. Conclusion/Implications: It appears that the PELI-NH can test group differences in preference importance among African-American and White NH residents; implications for practice will be discussed. Part of a symposium sponsored by the Research in Quality of Care Interest Group.

The Value of Pedagogical Preferences: A Case of Personality and Learning Environments in Higher Education

To improve learning outcomes, research evidence has accumulated regarding the principles of teaching and learning; however, students’ perceptions of teaching methods have received little scientific investigation toward enhanced quality of their learning. To provide a demonstration of the value of researching student perceptions of the learning environments in which they find themselves, a sample of preference ratings (n = 69) was examined to test the hypothesis there exist among the Five Factor personality dimensions correlates of preference ratings for three environments: teacher-led, independent-autonomous, and groups. Results confirmed preference for group learning in our sample and statistically reliable zero-order positive correlations between group-based learning preference and both extraversion and openness scores and between preference for teacher-led environments and openness scores. First-order correlations showed no significant changes in accounted preference variation when controlling the other personality factors scores. These findings are discussed with respect to likely social-cognitive and neurodevelopmental bases of group learning effectiveness and the utility of investigating student preferences for improving the quality of learning.

A brain network that supports consensus-seeking and conflict-resolving of college couples’ shopping interaction

One of the typical campus scenes is the social interaction between college couples, and the lesson couples must keep learning is to adapt to each other. This fMRI study investigated the shopping interactions of 30 college couples, one lying inside and the other outside the scanner, beholding the same item from two connected PCs, making preference ratings and subsequent buy/not-buy decisions. The behavioral results showed the clear modulation of significant others’ preferences onto one’s own decisions, and the contrast of the “shop-together vs. shop-alone”, and the “congruent (both liked or disliked the item, 68%) vs. incongruent (one liked but the other disliked, and vice versa)” together trials, both revealed bilateral temporal parietal junction (TPJ) among other reward-related regions, likely reflecting mentalizing during preference harmony. Moreover, when contrasting “own-high/other-low vs. own-low/other-high” incongruent trials, left anterior inferior parietal lobule (l-aIPL) was parametrically mapped, and the “yield (e.g., own-high/not-buy) vs. insist (e.g., own-low/not-buy)” modulation further revealed left lateral-IPL (l-lIPL), together with left TPJ forming a local social decision network that was further constrained by the mediation analysis among left TPJ–lIPL–aIPL. In sum, these results exemplify, via the two-person fMRI, the neural substrate of shopping interactions between couples.