Human Computer Interaction, Artificial Intelligence and Intelligent Augmentation

Track Description
Human Computer Interaction (HCI) focuses on the design, evaluation, and use of information and communication technologies with an explicit goal to improve user experiences, task performance, and quality of life. HCI is currently being shaped and shaping the applications of artificial intelligence (AI) and intelligent augmentation (IA). This is leading to the rapid emergence of new and exciting research topics. These topics and the questions derived from them are extending and challenging our current theoretical foundations and research methodologies. This calls for both a reflection and a discussion among IS scholars.

This track aims to provide a forum to discuss, develop, and promote a range of research exploring novel theories, methodologies, and empirical insights related to phenomenon pertaining to HCI, AI, and/or IA. We welcome submissions reflecting a breath of research traditions and approaches, including behavioral, economics of IS, econometrics, design science, and data science, that address new and emerging issues in these fields.

Research relevant to the track may offer novel theoretical perspectives on HCI, AI and IA in a variety of contexts including but not limited to e-commerce, m-commerce, labor, organizations, human interactions with smart technologies, human robot interactions, novel interface designs for virtual reality/augmented reality (VR/AR) technologies, and examination of HCI issues through neuro-physiological tools and devices (e.g., EEG, fMRI, GSR, and eye-trackers). Relevant research may also include studies examining the impact of AI/IA on business strategy development, applications in public versus private organizations, the effect of AI on the market, economy and society, and the business value and unanticipated consequences of AI.

Track Chairs
Ahmed Abbasi, University of Virginia,
Lionel Robert, University of Michigan,
Weiquan Wang, City University of Hong Kong,
Lynn Wu, University of Pennsylvania,

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Monday, December 14th

A Review of the Empirical Literature on Conversational Agents and Future Research Directions

Naim Zierau, University of St.Gallen
Edona Elshan, Institute of Information Management
Camillo Visini, University of St.Gallen
Andreas Janson, Information Systems

A Situation-specific Smart Retail Service Based On Vital Signs

Nurten Öksüz, Saarland University
Wolfgang Maass, Saarland University

AI Agents for Sequential Promotions: Combining Deep Reinforcement Learning and Dynamic Field Experimentation

Wen Wang, Carnegie Mellon University
Beibei Li, Carnegie Mellon University
Xueming Luo, Temple University
Xiaoyi Wang, Zhejiang University

Biased but Credible: An Experimental Study of Online Reviews

Long The Nguyen, University of Massachusetts Amherst
Traci J. Hess, UMass Amherst
Zachary J. Sheffler, University of Massachusetts Amherst
Ying Liu, University of Massachusetts Amherst

Combining Observational and Experimental Data to Improve Large-Scale Decision-Making

Carlos Fernández-Loría, New York University
Foster Provost, New York University

Design and Evaluation of an Adaptive Dialog-Based Tutoring System for Argumentation Skills

Thiemo Wambsganss, University of St. Gallen
Matthias Soellner, University of Kassel
Jan Marco Leimeister, University of St. Gallen

Designing Topic Models for Better Econometric Modeling

Xiaoping Liu, Northeastern University
Xiaobai Li, University of Massachusetts Lowell

Disentangling the Effects of Paralinguistic Cues in Bolstering Listeners’ Engagement with Podcasters

Xiaohui Liu, Shanghai Jiao Tong University
Fei Liu, Copenhagen Business School
Yijing Li, UNSW Sydney
Eric Lim, UNSW Sydney

Does one Creative Tool Fit All? Initial Evidence on Creativity Support Systems and Wikipedia-based Stimuli

Hans Christian Klein, University of Siegen
Sebastian Weber, University of Siegen
Michael Schlechtinger, University of Siegen
Frederike Marie Oschinsky, University of Siegen

Effects of Voice-Based AI in Customer Service: Evidence from a Natural Experiment

Lingli Wang, Tsinghua University
Nina Huang, Arizona State University
Yili Hong, Arizona State University
Luning Liu, Harbin Institute of Technology
Xunhua Guo, Tsinghua University
Guoqing Chen, Tsinghua University

Fad, Fashion or Classic? Fashion Life Cycle Forecasting with Instagram

Yifan Ren, Fordham University
Yilu Zhou, Fordham University
Heng Xu, American University

Fostering Human Agency: A Process for the Design of User-Centric XAI Systems

Maximilian Förster, University of Ulm
Mathias Klier, University of Ulm
Kilian Kluge, University of Ulm
Irina Sigler, University of Ulm

How does Virtual Reality Matter? Evidence from an Online Real Estate Platform

Zhenbin Yan, University of Science and Technology of China
Zixuan Meng, The University of Texas at Dallas
Yong Tan, University of Washington

Is it a Match? Examining the Fit Between Conversational Interaction Modalities and Task Characteristics

Christine Rzepka, Ludwig-Maximilians-Universität München
Benedikt Berger, Ludwig-Maximilians-Universität München
Thomas Hess, Ludwig-Maximilians-Universität München

Keep It Mystic? – The Effects of Algorithm Transparency on the Use of Advice

Cedric Alexander Lehmann, University of Cologne
Christiane Haubitz, University of Cologne
Andreas Fuegener, University of Cologne
Ulrich Thonemann, University of Cologne

PERSONA: Personality-Based Deep Learning for Detecting Hate Speech

Kyuhan Lee, University of Arizona
Sudha Ram, University of Arizona

Personalizing Debt Collections: Combining Reinforcement Learning and Field Experiment

Tracy Yang, The University of Texas at Austin
Tian Lu, Carnegie Mellon University
Beibei Li, Carnegie Mellon University
Lu Xianghua, Fudan University

“She is not just a computer”: Gender Role of AI Chatbots in Debt Collection

Yiting Guo, Tsinghua University
Ximing Yin, Tsinghua University
De Liu, University of Minnesota
Sean Xin Xu, Tsinghua University

The Chatbot Disclosure Dilemma: Desirable and Undesirable Effects of Disclosing the Non-Human Identity of Chatbots

Nika Mozafari, University of Goettingen
Welf H. Weiger, University of Goettingen
Maik Hammerschmidt, University of Goettingen

The Impact of AI-powered Shelf Monitoring on Product Sales

Yipu Deng, Purdue University
Jinyang Zheng, Purdue University
Liqiang Huang, Zhejiang University
Karthik Kannan, Purdue University

Towards Dual Processing of Social Robots: Differences in the Automatic and Reflective System

Katharina Jahn, University of Siegen
Anika Nissen, Institute for Computer Science and Business Information Systems

Towards the Design of an Interactive Machine Learning System for Qualitative Coding

Tim Rietz, Karlsruhe Institute of Technology (KIT)
Alexander Maedche, Karlsruhe Institute of Technology (KIT)

What If an AI Told You That 2 + 2 Is 5? Conformity to Algorithmic Recommendations

Yotam Liel, Tel Aviv University
Lior Zalmanson, Tel Aviv University

White, Grey, Black: Effects of XAI Augmentation on the Confidence in AI-based Decision Support Systems

Jonas Wanner, University of Würzburg
Lukas-Valentin Herm, University of Würzburg
Kai Heinrich, Technische Universität Dresden
Christian Janiesch, University of Würzburg
Patrick Zschech, Technische Universität Dresden