Us vs. Them: Understanding Artificial Intelligence Technophobia over the Google DeepMind Challenge Match

Various forms of artificial intelligence (AI), such as Apple's Siri and Google Now, have permeated our everyday lives. However, the advent of such "human-like" technology has stirred both awe and a great deal of fear. Many consider it a woe to have an unimaginable future where human intelligence is exceeded by AI. This paper investigates how people perceive and understand AI with a case study of the Google DeepMind Challenge Match, a Go match between Lee Sedol and AlphaGo, in March 2016. This study explores the underlying and changing perspectives toward AI as users experienced this historic event. Interviews with 22 participants show that users tacitly refer to AlphaGo as an "other" as if it were comparable to a human, while dreading that it would come back to them as a potential existential threat. Our work illustrates a confrontational relationship between users and AI, and suggests the need to prepare for a new kind of user experience in this nascent socio- technological change. It calls for a collaborative research effort from the HCI community to study and accommodate users for a future where they interact with algorithms, not just interfaces.

[1]  Jennifer L. Dyck,et al.  Age Differences in Computer Anxiety: The Role of Computer Experience, Gender and Education , 1994 .

[2]  A. R.,et al.  Review of literature , 1951, American Potato Journal.

[3]  William Uricchio,et al.  The algorithmic turn: photosynth, augmented reality and the changing implications of the image , 2011 .

[4]  Clifford Nass,et al.  The media equation - how people treat computers, television, and new media like real people and places , 1996 .

[5]  Clifford Nass,et al.  Computers are social actors , 1994, CHI '94.

[6]  Mary Jo Bitner,et al.  The influence of technology anxiety on consumer use and experiences with self-service technologies , 2003 .

[7]  R. Kurzweil,et al.  The Singularity Is Near: When Humans Transcend Biology , 2006 .

[8]  Terry Winograd,et al.  Shifting viewpoints: Artificial intelligence and human-computer interaction , 2006, Artif. Intell..

[9]  Dirk Haehnel,et al.  Junior: The Stanford entry in the Urban Challenge , 2008 .

[10]  Gordon C. Bruner,et al.  Toward a unified theory of consumer acceptance technology , 2007 .

[11]  D. Gilbert,et al.  Technophobia, gender influences and consumer decision‐making for technology‐related products , 2003 .

[12]  G. A. Marcoulides,et al.  A Cross-Cultural Comparison of Computer Anxiety in College Students , 1990 .

[13]  Allison Sauppé,et al.  Design patterns for exploring and prototyping human-robot interactions , 2014, CHI.

[14]  Larry D. Rosen,et al.  The psychological impact of technology from a global perspective , 1995 .

[15]  Kris K. Hauser,et al.  Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach , 2013, Artif. Intell. Medicine.

[16]  Todd Kulesza,et al.  Tell me more?: the effects of mental model soundness on personalizing an intelligent agent , 2012, CHI.

[17]  J. M. Noyes,et al.  Gender influences on children's computer attitudes and cognitions , 2002, Comput. Hum. Behav..

[18]  Dennis R. Wixon,et al.  CHI '02 Extended Abstracts on Human Factors in Computing Systems , 2002, CHI 2002.

[19]  Joshua B. Tenenbaum,et al.  Human-level concept learning through probabilistic program induction , 2015, Science.

[20]  L. M. Anthonya,et al.  Technophobia and personality subtypes in a sample of South African university students , 2016 .

[21]  Brian R. Duffy,et al.  Anthropomorphism and the social robot , 2003, Robotics Auton. Syst..

[22]  Mark Brosnan,et al.  Technophobia: The Psychological Impact of Information Technology , 1998 .

[23]  Susan R. Fussell,et al.  Anthropomorphic Interactions with a Robot and Robot–like Agent , 2008 .

[24]  Mark B. N. Hansen Feed-Forward: On the Future of Twenty-First-Century Media , 2015 .

[25]  Henry Lieberman,et al.  User Interface Goals, AI Opportunities , 2009, AI Mag..

[26]  A. Strauss,et al.  The discovery of grounded theory: strategies for qualitative research aldine de gruyter , 1968 .

[27]  Sebastian Thrun,et al.  Junior: The Stanford entry in the Urban Challenge , 2008, J. Field Robotics.

[28]  Ian Millington,et al.  Artificial Intelligence for Games , 2006, The Morgan Kaufmann series in interactive 3D technology.

[29]  David Silver,et al.  Monte-Carlo tree search and rapid action value estimation in computer Go , 2011, Artif. Intell..

[30]  Larry D. Rosen,et al.  Myths and realities of computerphobia: A meta-analysis , 1990 .

[31]  Shane Legg,et al.  Human-level control through deep reinforcement learning , 2015, Nature.

[32]  Rashmi R. Sinha,et al.  The role of transparency in recommender systems , 2002, CHI Extended Abstracts.

[33]  Eloisa Vargiu,et al.  Exploiting web scraping in a collaborative filtering- based approach to web advertising , 2012, Artif. Intell. Res..

[34]  Vanessa Evers,et al.  Robot gestures make difficult tasks easier: the impact of gestures on perceived workload and task performance , 2014, CHI.

[35]  E. Siegel,et al.  Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment , 2013, Current Cardiology Reports.

[36]  Austin Henderson,et al.  INTERACT '93 and CHI '93 Conference Companion on Human Factors in Computing Systems , 1993 .

[37]  René F. Kizilcec,et al.  How Much Information?: Effects of Transparency on Trust in an Algorithmic Interface , 2016, CHI.

[38]  Adam Waytz,et al.  Social Cognition Unbound , 2010, Current directions in psychological science.

[39]  Tien-chen Chien,et al.  Factors Influencing Computer Anxiety and Its Impact on E-Learning Effectiveness: A Review of Literature. , 2008 .

[40]  L. Festinger,et al.  A Theory of Cognitive Dissonance , 2017 .

[41]  O. Doronina,et al.  Fear of Computers , 1995 .

[42]  Clifford Nass,et al.  Anthropomorphism, agency, and ethopoeia: computers as social actors , 1993, INTERCHI Adjunct Proceedings.

[43]  M. Brosnan,et al.  A cross-cultural comparison of gender differences in computer attitudes and anxieties : the united kingdom and Hong Kong , 1998 .

[44]  Peter Norvig,et al.  Artificial Intelligence: A Modern Approach , 1995 .

[46]  Jian Sun,et al.  Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[47]  Demis Hassabis,et al.  Mastering the game of Go with deep neural networks and tree search , 2016, Nature.

[48]  Ron Henderson,et al.  Occupational differences in computer-related anxiety: implications for the implementation of a computerized patient management information system , 1995, Behav. Inf. Technol..

[49]  Laura A. Dabbish,et al.  Working with Machines: The Impact of Algorithmic and Data-Driven Management on Human Workers , 2015, CHI.

[50]  D. Dennett Kinds of Minds: Towards an Understanding of Consciousness , 1996 .

[51]  S. Kiesler,et al.  A prisoner's dilemma experiment on cooperation with people and human-like computers. , 1996, Journal of personality and social psychology.