Our response to this symposium on our 2006 paper centers on three questions. First, what motivations exist in the political wild, and do our experimental manipulations realistically capture them? We agree that strong accuracy motivations are likely (but not certain) to reduce biases, but we are not at all confident that the real world supplies stronger accuracy motivations than our subjects received. Second, how can we square our findings of stubbornly persistent beliefs and attitudes with the well-established literatures on framing (...) and persuasion, which find political opinion to be more malleable? We argue that our John Q. Public theory of political information accounts for both persistence and persuasion and explains when we should expect one or the other. Citizens will be more responsive to contextual information or persuasive appeals when prior feelings are weak, knowledge is sparse, and information is encountered outside of awareness. Resistance to information or arguments is most likely when prior feelings are strong, attitudes are embedded within dense knowledge networks, and appeals are consciously perceived. Third, is belief persistence driven by feelings and emotions, as we claim, or is it more the result of a conviction that one's priors are accurate? We suggest that the distinctions that stand behind this question are suspect. We see in some of our commentators a tendency to align accuracy motivation, central processing, and cognition on one side of the dual-processing framework, with directional motivation, peripheral processing, and feelings on the other side. On the contrary, we argue that beliefs in the truth of one's priors often result from feelings and wishes and are themselves sources of motivated bias in processing new information. Moreover, directional motivations are also often a source of central processing, so it is not easy to disentangle these processes. (shrink)

Whereas there is extensive documentation that attribute framing influences the content of peoples thought, we generally know less about how it affects the processes assumed to precede those thoughts. While existing explanations for attribute framing effects rely completely on valence-based associative processing, the results obtained in the present study are also consistent with the notion that negative framing stimulates more effortful and thorough information processing than positive framing. Specifically, results from a simulated business decision-making experiment showed that decision makers receiving (...) negatively framed information had significantly better recall than those receiving positively framed information. Furthermore, decision makers in the negative framing condition were less confident than decision makers in the positively framed condition. Finally, compared to a no-framing condition, decision makers receiving positive framing deviated significantly more in evaluation than decision makers receiving negative framing did. (shrink)

I argue against the commonly held intuition that robots and virtual agents will never have emotions by contending robots can have emotions in a sense that is functionally similar to humans, even if the robots' emotions are not exactly equivalent to those of humans. To establish a foundation for assessing the robots' emotional capacities, I first define what emotions are by characterizing the components of emotion consistent across emotion theories. Second, I dissect the affective-cognitive architecture of MIT's Kismet and Leonardo, (...) two robots explicitly designed to express emotions and to interact with humans, in order to explore whether they have emotions. I argue that, although Kismet and Leonardo lack the subjective feelings component of emotion, they are capable of having emotions. (shrink)