The influence of visual feedback and gender dynamics on performance, perception and communication strategies in CSCW

The effects of gender in human communication and human-computer interaction are well-known, yet little is understood about how it influences performance in the complex, collaborative tasks in computer-mediated settings – referred to as Computer-Supported Collaborative Work (CSCW) – that are increasingly fundamental to the way in which people work. In such tasks, visual feedback about objects and events is particularly valuable because it facilitates joint reference and attention, and enables the monitoring of people’s actions and task progress. As such, software to support CSCW frequently provides shared visual workspace. While numerous studies describe and explain the impact of visual feedback in CSCW, research has not considered whether there are differences in how females and males use it, are aided by it, or are affected by its absence. To address these knowledge gaps, this study explores the effect of gender – and its interactions within pairs – in CSCW, with and without visual feedback. An experimental study is reported in which mixed-gender and same-gender pairs communicate to complete a collaborative navigation task, with one of the participants being under the impression that s/he is interacting with a robot (to avoid gender-related social preconceptions). The study analyses performance, perceptions and communication strategies. As predicted, there was a significant benefit associated with visual feedback in terms of language economy and efficiency. However, it was also found that visual feedback may be disruptive to task performance, because it relaxes the users’ precision criteria and inflates their assumptions of shared perspective. While no actual performance difference was found between males and females in the navigation task, females rated their own performance less positively than did males. In terms of communication strategies, males had a strong tendency to introduce novel vocabulary when communication problems occurred, while females exhibited more conservative behaviour. When visual feedback was removed, females adapted their strategies drastically and effectively, increasing the quality and specificity of the verbal interaction, repeating and re-using vocabulary, while the behaviour of males remained consistent. These results are used to produce design recommendations for CSCW systems that will suit users of both genders and enable effective collaboration

Organic food appeals to intuition and triggers stereotypes

Peer reviewe

From GenderMag to InclusiveMag: An Inclusive Design Meta-Method

How can software practitioners assess whether their software supports diverse users? Although there are empirical processes that can be used to find “inclusivity bugs” piecemeal, what is often needed is a systematic inspection method to assess software’s support for diverse populations. To help fill this gap, this paper introduces InclusiveMag, a generalization of GenderMag that can be used to generate systematic inclusiveness methods for a particular dimension of diversity. We then present a multicase study covering eight diversity dimensions, of eight teams’ experiences applying InclusiveMag to eight under-served populations and their “mainstream” counterparts

Humanizing robots? The influence of appearance and status on social perceptions of robots

Social robots are a lesser known technology with uncertain but seemingly very powerful potential, which for decades has been portrayed in cultural artifacts as threats to human primacy. Research on people’s relationships to non-robotic technology, however, indicates that people will treat robots socially and assimilate them into their lives in ways that may disrupt existing norms but still fulfill a fundamental human need. Through the theoretical lenses of media equation and apparatgiest, this dissertation examines facets of robot humanization, defined as how people think of robots as social and human-like entities through perceptions of liking, human-likeness, and rights’ entitlement. In a 2 (gender) x 2 (physical humanness) x 3 (status) between-subjects online experiment, this dissertation explores the influence of fixed technological traits (the robot’s gender, physical humanness, and described status) and participants’ individual differences on humanization perceptions. Findings show that the robots’ features mattered less than participants’ individual traits, which explained the most variance in humanizing perceptions of social robots. Of those, participants’ prior robot exposure (both in real life and mediated) and efficacy traits were the strongest predictors of robot liking, perceived human-likeness, and perceptions of rights entitlement. Specifically, those with more real-life exposure and who perceived themselves as more technologically competent were more likely to humanize robots, while those with higher internal loci of control and negative mediated views of robots were less inclined to humanize robots. Theoretically, this study’s findings suggest that technological affordances matter less than the ontological understanding that social robots as a category may have in people’s humanizing perceptions. Looking forward, these findings indicate that there is an opportunity in the design of social robots to set precedents now that are prosocial and reflective of the world people strive for and want to inhabit in the future

Doctor of Philosophy

dissertationThe goal of this dissertation is to offer an empirically informed evaluation of testimony as a source of knowledge. Epistemologists have assumed that testimony is a generally reliable source of true beliefs because human cognitive faculties would have evolved to be reliable at getting the truth. However, complementary evidence from the signaling theory and social psychology literature shows that testimony is a practical tool with a variety of nonepistemic functions, including forming and maintaining social relationships, coordinating group behavior, and prescribing conduct. Since the value of using testimony is very often independent of its accuracy, humans have evolved to expend as little resources on checking for accuracy as is necessary to satisfy their other needs. In other words, "truth is expendable" to humans trying to get along well in the world and with each other. This implies that testimony is a far less epistemically reliable source of information than philosophers have assumed, and although it is very often prudent to simply believe what people say, it is not epistemically rational to do so. At the end, I offer preliminary empirically informed prescriptions for judging the reliability of testimony

The role of trust and relationships in human-robot social interaction

Can a robot understand a human's social behavior? Moreover, how should a robot act in response to a human's behavior? If the goals of artificial intelligence are to understand, imitate, and interact with human level intelligence then researchers must also explore the social underpinnings of this intellect. Our endeavor is buttressed by work in biology, neuroscience, social psychology and sociology. Initially developed by Kelley and Thibaut, social psychology's interdependence theory serves as a conceptual skeleton for the study of social situations, a computational process of social deliberation, and relationships (Kelley&Thibaut, 1978). We extend and expand their original work to explore the challenge of interaction with an embodied, situated robot. This dissertation investigates the use of outcome matrices as a means for computationally representing a robot's interactions. We develop algorithms that allow a robot to create these outcome matrices from perceptual information and then to use them to reason about the characteristics of their interactive partner. This work goes on to introduce algorithms that afford a means for reasoning about a robot's relationships and the trustworthiness of a robot's partners. Overall, this dissertation embodies a general, principled approach to human-robot interaction which results in a novel and scientifically meaningful approach to topics such as trust and relationships.Ph.D.Committee Chair: Arkin, Ronald C.; Committee Member: Christensen, Henrik I.; Committee Member: Fisk, Arthur D.; Committee Member: Ram, Ashwin; Committee Member: Thomaz, Andre

A Little More Logical: Reasoning Well About Science, Ethics, Religion, and the Rest of Life

"A Little More Logical" is the perfect guide for anyone looking to improve their critical thinking and logical reasoning skills. With chapters on everything from logic basics to fallacies of weak induction to moral reasoning, this book covers all the essential concepts you need to become a more logical thinker. You'll learn about influential figures in the field of logic, such as Rudolph Carnap, Betrrand Russell, and Ada Lovelace, and how to apply your newfound knowledge to real-world situations. Whether you're looking to engage in debates with others, make better decisions in your personal and professional life, or simply want to improve your overall critical thinking skills, "A Little More Logical" has you covered. So why wait? Start learning and become a little more logical today! "A Little More Logical" differs from typical logical textbooks in a number of ways. One key difference is its emphasis on engaging and relatable examples and case studies. Rather than simply presenting dry definitions and concepts, the book uses fables, stories, and real-world situations to illustrate key ideas and make them more relatable for readers. Another unique aspect of "A Little More Logical" is its inclusion of "Minds that Mattered" sections, which highlight the contributions and insights of influential figures in the field of logic and critical thinking. These sections provide readers with a deeper understanding of the history and development of logical principles and offer valuable context for the concepts being discussed. Additionally, "A Little More Logical" covers a wide range of topics beyond the basics of logic and argument evaluation. Chapters on moral reasoning, probability and inductive logic, scientific reasoning, conspiracy theories, statistical reasoning, and the history of formal logic offer a more comprehensive and well-rounded understanding of logic and critical thinking. Overall, "A Little More Logical" stands out as a dynamic and engaging resource for anyone looking to improve their logical reasoning abilities. Its relatable examples, historical context, and broad coverage make it a valuable resource for anyone interested in mastering the principles of logic. This is a free, Creative-Commons-licensed book

Gender-STEM stereotypes: a cross-cultural, mixed-methods exploration of women’s STEM pathways between the UK and China

Women’s underrepresentation in higher education and careers in science, technology, engineering, and mathematics (STEM) fields remains a persistent global problem. Grounded in social psychological theories related to gender stereotypes, this cross-cultural thesis aims to understand the reasons for British and Chinese women’s underrepresentation. A review of existing empirical research highlights gaps in understanding British and Chinese women’s underrepresentation in STEM disciplines and careers identified gaps into why and how women maintain careers in these fields. Therefore, this study aimed to 1) identify British and Chinese women’s explicit and implicit gender-STEM stereotypes and the factors impacting these stereotypes; 2) explore what factors positively influenced women studying to PhD level in STEM fields; 3) investigate and interpret patterns of how Chinese Eearly career researchers (ECRs) achieve in their STEM fields. A sequential explanatory mixed-methods design was conducted. The first phase used a quantitative survey and lab-based Implicit Association Test to compare the explicit and implicit gender-STEM stereotypes and attitudes toward STEM fields of British and Chinese women (n = 113). Using a 2 x 2 ANOVA design, Chinese women in the cohort had higher explicit gender-STEM stereotypes than British women, and women studying in STEM fields had lower explicit attitudes on STEM subjects than women not studying in STEM fields. There were no significant main effects or interactions of nationality and STEM study on the implicit measure. However, a planned independent contrast found that Chinese women studying STEM subjects had lower implicit gender-STEM stereotypes than women not studying STEM. The second phase included qualitative focus groups with women from the UK (n= 5) and China (n= 6) studying STEM in the UK, and interviews with Chinese women working successfully in their STEM fields (n = 4) to more deeply understand why women’s persistence in higher level education and careers in STEM. Analyses uncovered factors influencing women’s attrition in STEM fields and possibilities for how women could maintain and achieve at higher level of education and careers in STEM fields. This mixed-method, cross-cultural, and interdisciplinary thesis makes a significant contribution through uncovering common barriers to STEM fields, women’s cognitive dissonance regarding gender-STEM stereotypes, and cultural differences suggesting “glass ceilings” effects in the UK and the pressures from the “ground floor” from Chinese family and society. Policy and educational recommendations are provided, including the importance of embedding STEM career knowledges early, policies such as flexible working, successful female role models in STEM, and the role of social media in raising women’s career profiles and widening their networks