scholarly journals [PREPRINT] Mind the Machines: Applying Implicit Measures of Mind Perception to Social Robotics

2022 ◽  
Author(s):  
Zhenni Li ◽  
Leonie Terfurth ◽  
Joshua Pepe Woller ◽  
Eva Wiese
Keyword(s):  
Mental States ◽  
Human Robot Interaction ◽  
Implicit Measures ◽  
Mind Perception ◽  
Human Likeness ◽  
Social Encounters ◽  
The Mind ◽  
Implicit And Explicit ◽  
Explicit Measures ◽  
Fast Acting

Beyond conscious beliefs and goals, automatic cognitive processes shape our social encounters, and interactions with complex machines like social robots are no exception. With this in mind, it is surprising that research in human-robot interaction (HRI) almost exclusively uses explicit measures, such as subjective ratings and questionnaires, to assess human attitudes towards robots - seemingly ignoring the importance of implicit measures. This is particularly true for research focusing on the question whether or not humans are willing to attribute complex mental states mind perception, such as agency (i.e., the capacity to plan and act) and experience (i.e., the capacity to sense and feel), to robotic agents. In the current study, we (i) created the mind perception implicit association test (MP-IAT) to examine subconscious attributions of mental capacities to agents of different degrees of human-likeness (here: human vs. humanoid robot), and (ii) compared the outcomes of the MP-IAT to explicit mind perception ratings of the same agents.Results indicate that (i) already at the subconscious level, robots are associated with lower levels of agency and experience compared to humans, and that (ii) implicit and explicit measures of mind perception are not significantly correlated. This suggests that mind perception (i) has an implicit component that can be measured using implicit tests like the IAT and (ii) might be difficult to modulate via design or experimental procedures due to its fast-acting, automatic nature.

scholarly journals The target/perpetrator brief-implicit association test (B-IAT): an implicit instrument for efficiently measuring discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Maddalena Marini ◽  
Pamela D. Waterman ◽  
Emry Breedlove ◽  
Jarvis T. Chen ◽  
Christian Testa ◽  
...  
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Implicit Association Test ◽  
Mental Representations ◽  
Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
Race Ethnicity ◽  
Implicit And Explicit ◽  
Explicit Measures

Abstract Background To date, research assessing discrimination has employed primarily explicit measures (i.e., self-reports), which can be subject to intentional and social desirability processes. Only a few studies, focusing on sex and race/ethnicity discrimination, have relied on implicit measures (i.e., Implicit Association Test, IAT), which permit assessing mental representations that are outside of conscious control. This study aims to advance measurement of discrimination by extending the application of implicit measures to multiple types of discrimination and optimizing the time required for the administration of these instruments. Methods Between September 27th 2019 and February 9th 2020, we conducted six experiments (984 participants) to assess implicit and explicit discrimination based on race/ethnicity, sex, gender identity, sexual orientation, weight, and age. Implicit discrimination was measured by using the Brief-Implicit Association Test (B-IAT), a new validated version of the IAT developed to shorten the time needed (from ≈15 to ≈2 min) to assess implicit mental representations, while explicit discrimination was assessed using self-reported items. Results Among participants (mean age = 37.8), 68.6% were White Non-Hispanic; 69% were females; 76.1% were heterosexual; 90.7% were gender conforming; 52.8% were medium weight; and 41.5% had an advanced level of education. Overall, we found implicit and explicit recognition of discrimination towards all the target groups (stronger for members of the target than dominant groups). Some exceptions emerged in experiments investigating race/ethnicity and weight discrimination. In the racism experiment, only people of Color showed an implicit recognition of discrimination towards the target group, while White people were neutral. In the fatphobia experiment, participants who were not heavy showed a slight implicit recognition of discrimination towards the dominant group, while heavy participants were neutral. Conclusions This study provides evidence that the B-IAT is a valuable tool for quickly assessing multiple types of implicit discrimination. It shows also that implicit and explicit measures can display diverging results, thus indicating that research would benefit from the use of both these instruments. These results have important implications for the assessment of discrimination in health research as well as in social and psychological science.

scholarly journals Predicting Contamination Aversion Using Implicit and Explicit Measures of Disgust and Threat Overestimation

2018 ◽  
Vol 35 (1) ◽  
pp. 22-38 ◽  
Author(s):  
Melissa Rouel ◽  
Richard J. Stevenson ◽  
Evelyn Smith
Keyword(s):  
Implicit Measures ◽  
Obsessive Compulsive ◽  
Implicit Processes ◽  
Contamination Fear ◽  
Harmful Substances ◽  
Implicit And Explicit ◽  
Explicit Measures

Explicit measures of disgust and threat overestimation have consistently been found to be involved in contamination aversion. However, evidence of the involvement of these factors at the implicit level is mixed, and the role of both responses has not been looked at concurrently. This study aimed to compare the ability of implicit and explicit measures of disgust and threat overestimation to predict contamination aversion and whether this depends on the type of contaminant. Sixty-five participants completed explicit and implicit measures of disgust and threat overestimation, as well as several measures of contamination aversion, including obsessive-compulsive tendencies, and contamination fear and avoidance of contaminants directly associated with disease (direct contaminants) and harmful substances (harm contaminants). It was found that both explicit disgust and explicit threat overestimation predicted contamination-fear obsessive-compulsive tendencies. Explicit disgust predicted contamination fear and avoidance of direct contaminants, whereas explicit threat overestimation predicted contamination fear and avoidance of harm contaminants. The involvement of implicit processes was weak, with some suggestion of difficulty disengaging predicting avoidance of contaminants. Implications for understanding dysfunctional contamination aversion are discussed.

A Latent State-Trait Analysis of Implicit and Explicit Personality Measures

2005 ◽  
Vol 21 (2) ◽  
pp. 100-107 ◽  
Author(s):  
Stefan C. Schmukle ◽  
Boris Egloff
Keyword(s):  
Personality Assessment ◽  
Self Report ◽  
Personality Measures ◽  
Implicit Measures ◽  
Trait Analysis ◽  
Specific Effects ◽  
Implicit Personality ◽  
Implicit Assessment ◽  
Implicit And Explicit ◽  
Explicit Measures

Abstract. Explicit personality measures assess introspectively accessible self-descriptions. In contrast, implicit personality measures assess introspectively inaccessible processes that operate outside awareness. However, for both kinds of trait measures, the effect of the situation in which the assessment takes place should be as small as possible. The present study aims at quantifying possible systematic occasion-specific effects on implicit measures (Implicit Association Test) and explicit measures (self-report ratings) of extraversion and anxiety by means of a latent state-trait analysis. This analysis revealed that - as desired for personality assessment - all four measures capture mostly stable interindividual differences. Nevertheless, occasion-specific effects were also observed. These effects were (1) more pronounced for implicit than for explicit measures and (2) more pronounced for anxiety than for extraversion. Implications for the implicit assessment of personality traits are discussed.

Race of Athlete-Spokesperson and Implicit and Explicit Responses to Advertising

2014 ◽  
Vol 42 (4) ◽  
pp. 655-671 ◽  
Author(s):  
Howon Jeong ◽  
Sungho Cho ◽  
Minyoung Lee ◽  
Endarman Sputra
Keyword(s):  
Racial Bias ◽  
Implicit Attitudes ◽  
Measurement Methods ◽  
Implicit Measures ◽  
Black Athlete ◽  
Black Athletes ◽  
Implicit Preferences ◽  
White Athletes ◽  
Implicit And Explicit ◽  
Explicit Measures

In this study we investigated racial vs. athletes from other countries, bias and differences in attitude of South Koreans toward advertisements featuring Korean vs. foreign athletes and White vs. Black athletes by implementing explicit and implicit measures. The results suggest that Koreans have: (a) implicit preferences for Korean athletes over foreign athletes, (b) implicit attitudes that are more favorable toward advertisements featuring Korean athletes than toward those featuring foreign athlete-spokespersons, (c) implicit preferences for White athletes over Black athletes, and (d) implicit attitudes that are more favorable toward advertisements featuring White athlete-spokespersons than toward those featuring Black athlete-spokespersons. The explicit measures revealed several contradictory results; therefore we have discussed implications for the discrepancy between implicit and explicit measurement methods and the usefulness of implicit measures in the context of racial bias research.

scholarly journals Measuring engagement elicited by eye contact in Human-Robot Interaction

2019 ◽  
Author(s):  
Kyveli Kompatsiari ◽  
Francesca Ciardo ◽  
Davide De Tommaso ◽  
Agnieszka Wykowska
Keyword(s):  
Joint Attention ◽  
Reaction Times ◽  
Eye Contact ◽  
Human Robot Interaction ◽  
Implicit Measures ◽  
Subjective Ratings ◽  
Cognitive Mechanisms ◽  
Robot Interaction ◽  
Subjective Evaluations ◽  
Explicit Measures

The present study aimed at investigating how eye contact established by a humanoid robot affects engagement in human-robot interaction (HRI). To this end, we combined explicit subjective evaluations with implicit measures, i.e. reaction times and eye tracking. More specifically, we employed a gaze cueing paradigm in HRI protocol involving the iCub robot. Critically, before moving its gaze, iCub either established eye contact or not with the user. We investigated the patterns of fixations of participants’ gaze on the robot’s face, joint attention and the subjective ratings of engagement as a function of eye contact or no eye contact. We found that eye contact affected implicit measures of engagement, i.e. longer fixation times on the robot’s face during eye contact, and joint attention elicited only after the robot established eye contact. On the contrary, explicit measures of engagement with the robot did not vary across conditions. Our results highlight the value of combining explicit with implicit measures in an HRI protocol in order to unveil underlying human cognitive mechanisms, which might be at stake during the interactions. These mechanisms could be crucial for establishing an effective and engaging HRI, and could potentially provide guidelines to the robotics community with respect to better robot design.

scholarly journals Can Evaluative Conditioning Change Well-Established Attitudes Towards Popular Brands? Your Brain Says Yes Even Though Your Mouth Says No

2019 ◽  
Vol 9 (5) ◽  
pp. 106
Author(s):  
Shannon Bosshard ◽  
Monika Koller ◽  
Peter Walla
Keyword(s):  
Online Survey ◽  
Evaluative Conditioning ◽  
Brand Names ◽  
Implicit Association ◽  
Implicit Measures ◽  
Verbal Responses ◽  
Individual Participant ◽  
Implicit And Explicit ◽  
The Impact ◽  
Explicit Measures

In the present study, using both implicit and explicit measures, we addressed the issue of whether strongly developed relationships towards brands could be modified through the use of evaluative conditioning. Using an online survey, individual participant brand lists were created, and formed the basis of this experiment. Participants were then exposed to conditioning during a longitudinal study. Throughout the experiment, a combination of explicit and implicit measures was used to assess changes in attitude. Specifically, participants were asked to rate the brand names on a Likert-type scale. Simultaneously, changes in the brains electrical activity in response to the brands were recorded via electroencephalography (EEG). Upon completion of this task, participants underwent two Implicit Association Tests (IAT; one for liked brands and one for disliked brands). There were two main findings of this study. Firstly, no significant changes in attitude were observed via the use of explicit measures, and those that were found relating to the IAT were regarded as questionable. Secondly, EEG presented consistent results which showed that conditioning elicited changes in cortical activity towards both liked and disliked brands, which suggest it may be a useful tool in measuring the impact of evaluative conditioning that is not reflected in verbal responses.

scholarly journals Twenty-Five Years of Research Using Implicit Measures

2020 ◽  
Vol 38 (Supplement) ◽  
pp. s1-s25
Author(s):  
Bertram Gawronski ◽  
Jan De Houwer ◽  
Jeffrey W. Sherman
Keyword(s):  
Implicit Association Test ◽  
Implicit Association ◽  
Implicit Measures ◽  
25Th Anniversary ◽  
Domain Specific ◽  
Open Questions ◽  
Current Article ◽  
Implicit And Explicit ◽  
Explicit Measures ◽  
Theoretical Developments

The year 2020 marks the 25th anniversary of two seminal publications that have set the foundation for an exponentially growing body of research using implicit measures: Fazio, Jackson, Dunton, and Williams's (1995) work using evaluative priming to measure racial attitudes, and Greenwald and Banaji's (1995) review of implicit social cognition research that served as the basis for the development of the Implicit Association Test (IAT). The current article provides an overview of (1) two conceptual roots that continue to shape interpretations of implicit measures; (2) conflicting interpretations of the term implicit; (3) different kinds of dissociations between implicit and explicit measures; (4) theoretical developments inspired by these dissociations; and (5) research that used implicit measures to address domain-specific and applied questions. We conclude with a discussion of challenges and open questions that remain to be addressed, offering guidance for the next generation of research using implicit measures.

Predicting Spontaneous Big Five Behavior with Implicit Association Tests

2006 ◽  
Vol 22 (1) ◽  
pp. 13-20 ◽  
Author(s):  
Melanie C. Steffens ◽  
Stefanie Schulze König
Keyword(s):  
Big Five ◽  
Reaction Times ◽  
Personality Factors ◽  
Big Five Personality ◽  
Implicit Association ◽  
Implicit Measures ◽  
Association Tests ◽  
Spontaneous Behavior ◽  
Implicit And Explicit ◽  
Explicit Measures

According to theories brought forward recently, implicit measures based on reaction times, for instance Implicit Association Tests (IATs), should predict spontaneous behavior better than explicit measures. We applied five IATs to the measurement of the Big Five personality factors and tested whether the IATs predicted spontaneous behavior. The results show that, although implicit and explicit measures of personality dimensions were related at times, the correlations between them and with behavior suggest that these constructs should be differentiated. IATs predicted spontaneous behavior, but explicit measures did not. In contrast, explicit measures, but not IATs, were related to transparent self-ratings of behavior.

scholarly journals Can Implicit Measures Contribute to a True Understanding of People's Attitudes and Stereotypes?

2018 ◽  
Vol 5 (2) ◽  
pp. 106-131
Author(s):  
Brian O'Shea
Keyword(s):  
Impression Management ◽  
Minority Groups ◽  
Reaction Times ◽  
Implicit Measure ◽  
Implicit Measures ◽  
Individual Level ◽  
Self Reports ◽  
The Individual ◽  
Implicit And Explicit ◽  
Explicit Measures

Traditionally psychologists used explicit self-reports to better understand individuals’ attitudes but influences such as social desirability and impression management often made this method of data collection unreliable. This article describes the origins and the advancements of one of the most studied topics in social psychology - Implicit Social Cognition. Unobtrusive/indirect research methods were initially used to overcome the problems of using self-reports. Subsequently, reaction time tasks such as the Implicit Association Test (IAT) were developed to enable researchers to measure response biases, at the individual level, in socially sensitive domains such as prejudice towards minority groups. Automaticity is a core requirement for a measure to be described as implicit and therefore, fast reaction times (< 2,000 milliseconds) are needed. This article will describe under what conditions implicit and explicit measures are and are not related, including the theoretical basis for these relations. The value of using both implicit and explicit measures to predict behaviour will be explained, along with a discussion on what implicit measure are detecting. In certain domains or under specific conditions, implicit measures can contribute to providing a true understanding of attitudes and stereotypes.

Structure and Function of Attitudes

2019 ◽  
Author(s):  
Pablo Briñol ◽  
Richard E. Petty ◽  
Maria Stavraki
Keyword(s):  
Attitude Change ◽  
Self Report ◽  
Attitude Strength ◽  
Implicit Measures ◽  
Attitude Certainty ◽  
Predicting Behavior ◽  
And Function ◽  
Implicit And Explicit ◽  
And Behavior ◽  
Explicit Measures

Attitudes refer to general evaluations people have regarding people, places, objects, and issues. Attitudes serve a number of important functions such as guiding choices and actions and giving people a sense of identity and belonging. Attitudes can differ in the extent to which they come from affect, cognition, and behavior. These bases of attitudes can be appraised objectively and subjectively. Attitudes can also differ in their strength, with some attitudes being more impactful and predictive of behavior than others. Some indicators of attitude strength have been viewed as relatively objective in nature (e.g., stability, resistance, accessibility, spreading) whereas other strength indicators are more subjective in nature (e.g., attitude certainty, subjective ambivalence, perceived moral basis of attitudes). Attitudes can be stored in memory in different ways, including an attitude structure in which attitude objects are linked to both positivity and negatively separately, tagging these evaluations with varying degrees of validity. Finally, after a long tradition of assessing attitudes using people’s responses to self-report measures (explicit measures of attitudes), more recent work has also assessed attitude change with measures that tap into people’s more automatic evaluations (implicit measures of attitudes). Implicit and explicit measures can be useful in predicting behavior separately and also in combination.

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