First Virtual 2020 ACR Conference Program October 1-4, 2020 Can Brands be Sarcastic Conference Registration - https://www.acrwebsite.org/go/ACR2020Register Conference Agenda Access - Whova 2020 ACR Conference Access Info.pdf Wednesday, September 30, 2020 Advancing Diversity, Equity, 10:00 am - 12:00 pm (EDT) and Inclusion in Consumer Research Thursday, October 1, 2020 Early Career Workshop 9:00 am - 10:00 am (EDT) 10:00 am - 11:00 am (EDT) 8:00 pm - 9:00 pm (EDT) 9:00 pm - 10:00 pm (EDT) JACR Special Issue Workshop- by invitation only 10:30 am - 1:30 pm (EDT) This was set up by JACR so it only appears on the website for information, there’s not a live link to it as it is by Invitation Only. ACR-Sheth Doctoral Symposium 12:00 pm - 3:00 pm (EDT) Virtual Opening Reception 7:00 pm New York (EDT) 7:00 pm Paris (Paris Time) 7:00 pm (Sydney time for Asia/Australia) Friday, October 2, 2020 The Keith Hunt Newcomers’ Meet and Greet 9:30 am - 10:00 am (EDT) Eileen Fischer - President’s Address 10:00 am - 10:30 am (EDT) Business Meeting/Awards Ceremony 10:30 am - 11:30 am (EDT) Knowledge Forums 12:00 pm - 1:15 pm (EDT) Virtual Happy Hour 7:00 pm New York (EDT) 7:00 pm Paris (Paris Time) 7:00 pm (Sydney time for Asia/Australia) Saturday, October 3, 2020 Knowledge Forums 9:30 am - 10:45 am (EDT) 11:00 am - 12:15 pm (EDT) Virtual Closing Night Reception 7:00 pm New York (EDT)) 7:00 pm Paris (Paris Time) 7:00 pm (Sydney time for Asia/Australia) 1 First Virtual 2020 ACR Conference Program October 1-4, 2020 Friday & Saturday, October 2 & 3, 2020 The following will be available throughout the Conference David Mick - Fellow’s Address Asynchronous Marsha Richins – Fellow’s Address Asynchronous Special Sessions Asynchronous Competitive Papers Asynchronous Working Papers Asynchronous Film Festival Asynchronous Special Sessions AI Agents in Consumer Service – Tools or Partners? Session Chairs: Marat Bakpayev, University of Minnesota Duluth, USA; Ann Kronrod, University of Massachusetts Lowell, USA Consumer Interactions With Artificial Intelligence Agents – a Historical Perspective *Marat Bakpayev (University of Minnesota Duluth, USA); Russell W. Belk (York University, Canada) In our conceptual work, we examine consumers interacting with machines, be it in fiction or in fact. AI Agents may be regarded as servants, masters, friends, or monsters. As a result, consumer interactions may be functional or social, calming or frightening, successful or failed. Are Robots in Service of the Environment? The Role of Service Robots in Socially Responsible Business Practices *Marina Puzakova (Lehigh University, USA); Amir Grinstein (Northeastern University, USA) Two significant societal trends are on the rise: the introduction of service robots and an increasing business commitment to socially responsible practices. Based on 3 experiments we study how service robots impact consumer engagement with, and perception of, brands’ socially responsible efforts, and the underlying mechanism. The Impact of Humans and Robots on Consumer Behavioral Intentions in Medical Contexts *Ilana Shanks (Stony Brook University); Martin Mende (Florida State University, USA); Maura Scott (Florida State University, USA); Jenny van Doorn (University of Groningen, The Netherlands); Dhruv Grewal (Babson College, USA) This research examines how consumers respond to human-robot teams in medical contexts. We find that consumers show lower ratings of favorability to a robot led team (vs. human). Risk acceptance, power distance belief, and consumer choice are examined as boundary conditions. AI Service Agents, Figurative Language, and Conversational Cooperativeness Marat Bakpayev (University of Minnesota Duluth, USA); *Ann Kronrod (University of Massachusetts Lowell, USA) Taking a sociolinguistic perspective, we compare consumer reactions to the use of figurative language (vs. literal) by human/AI service agents. We find that, as opposed to human agents, using figurative language can hurt AI agents, and discover that it occurs because consumers do not perceive them as cooperative conversation partners. Antecedents and Consequences of Consumer Budgeting 2 First Virtual 2020 ACR Conference Program October 1-4, 2020 The Influence of Budgets on Consumer Spending *Chuck Howard (Texas A&M University, USA); Marcel Lukas (University of St Andrews) Budgeting is a common and consequential consumer behavior. However, little is known about the extent to which budgets do (or do not) influence spending in the wild. We address this gap in the literature using app data and find that budgets are both wildly optimistic and highly influential. On the Psychology of Resource Monitoring *Daniel Katz (University of Chicago, USA); Abigail Sussman (University of Chicago, USA) This research aims to understand when, why, and how people monitor resources like money, time, and calories. We found people monitored money more than time or calories and monitoring varied by the timeframe over which the resource was being used. We identified several factors underlying differences in monitoring across resources. A Query Theory Explanation for Reactions to Constraint *Matthew Meister (University of Colorado, USA); John Lynch (University of Colorado, USA) Two studies provide support for the hypothesis that pure memory factors have a significant effect on consumers’ reactions to changing constraints. Subjects were more successful at prioritizing their spending when given a delay between budgeting and a new constraint. Evidence suggests subjects thought more broadly after the delay. How Consumers Budget Yiwei Zhang (University of Wisconsin - Madison, USA); Abigail Sussman (University of Chicago, USA); *Jennifer Lyu (University of Colorado, USA); Nathan Wang-Ly (Commonwealth Bank of Australia) Using a nationally-representative survey (N=3,826) and data from an online banking app, this research examines budgeting behaviors and beliefs, including why people do or do not budget, how they categorize their consumption, and how they adjust their behavior when faced with financial shocks. Implications for financial well-being are discussed. Antecedents of and Remedies to the Spread of False Information in the Social Media Era Session Chair: Gizem Ceylan, University of Southern California, USA Look What I am Re-Sharing: How Self-Presentation Goals Impact What Consumers Spread on Social Networks *Gizem Ceylan (University of Southern California, USA); Norbert Schwarz (University of Southern California, USA) Consumers share content from sources of varying credibility. We find that consumers who want to fit in are more willing to share popular information from well-known credible sources. However, consumers who want to stand out share information regardless of source credibility which may cause them to share false content. Impression Management in the Echo-Chamber: How Self-Censorship Biases Evidence-Sharing *Ike Silver (University of Pennsylvania, USA); Deborah Small (University of Pennsylvania, USA); Geoffrey Goodwin (University of Pennsylvania, USA) Two preregistered experiments (N=819) find evidence of self-censorship effects in information- sharing among political allies: Consumers omit from conversation evidence they believe to be factual and relevant to important social issues (e.g., gun control, climate change) if bringing up such evidence might cast public doubt on their loyalty to valued political causes. Understanding and Reducing the Spread of Misinformation Online 3 First Virtual 2020 ACR Conference Program October 1-4, 2020 Gordon Pennycook (University of Regina, Canada); *Ziv Epstein (Massachusetts Institute of Technology, USA); Mohsen Mosleh (Massachusetts Institute of Technology, USA); Antonio Arechar (Massachusetts Institute of Technology, USA); Dean Eckles (Massachusetts Institute of Technology, USA); David Rand (Massachusetts Institute of Technology, USA) Why do people share misinformation, and what can be done about it? Across survey experiments and a Twitter field experiment, we find inducing people to think about the accuracy increases the quality of the news they share. This suggests the problem is distraction and offers a scalable anti- misinformation intervention. Being a Human in the Age of Artificial Intelligence - Special Session, Special Session 01 Session Chairs: Gizem Yalcin, Erasmus University Rotterdam, The Netherlands; Nofar Duani, New York University, USA Defending the Human Need to be Seen: Recipient Identifiability Aggravates Algorithm Aversion in Resource Allocation Decisions Adelle Xue Yang (National University of Singapore, Singapore); *Jasper Teow (National University of Singapore, Singapore) Algorithms are increasingly utilized in resource allocation decisions. Seven pre-registered experiments (N = 2,732) show that the identifiability of a decision recipient aggravates algorithm aversion. This is because an identifiable recipient induces stronger empathic reactions than statistical recipients, and highlights the concern that algorithms cannot produce emotions. The Human Black Box: Illusionary Understanding Drives Preference for Human Over Algorithmic Decision-Making *Andrea Bonezzi (New York University, USA); Massimiliano Ostinelli (Winthrop University); Johann Melzner (New York University, USA) Previous research shows that consumers are hesitant to trust algorithmic over human decision- makers. In this research, we show that this phenomenon is in part driven by the fact that consumers foster an illusion of understanding human decision-makers better than algorithmic decision-makers, when in fact