Mother Nature knows best--How engineered organizations of the future will resemble natural-born systems.

Persuasive Technology: Using Computers to Change What We Think and Do

A number of emerging technologies including virtual reality, simulation rides, video conferencing, home theater, and high definition television are designed to provide media users with an illusion that a mediated experience is not mediated, a perception defined here as presence. Traditional media such as the telephone, radio, television, film, and many others offer a lesser degree of presence as well. This article examines the key concept of presence. It begins by noting practical and theoretical reasons for studying this concept. Six conceptualizations of presence found in a diverse set of literatures are identified and a detailed explication of the concept that incorporates these conceptualizations is presented. Existing research and speculation about the factors that encourage or discourage a sense of presence in media users as well as the physiological and psychological effects of presence are then outlined. Finally, suggestions concerning future systematic research about presence are presented.

At the Heart of It All: The Concept of Presence

Automation is often problematic because people fail to rely upon it appropriately. Because people respond to technology socially, trust influences reliance on automation. In particular, trust guides reliance when complexity and unanticipated situations make a complete understanding of the automation impractical. This review considers trust from the organizational, sociological, interpersonal, psychological, and neurological perspectives. It considers how the context, automation characteristics, and cognitive processes affect the appropriateness of trust. The context in which the automation is used influences automation performance and provides a goal-oriented perspective to assess automation characteristics along a dimension of attributional abstraction. These characteristics can influence trust through analytic, analogical, and affective processes. The challenges of extrapolating the concept of trust in people to trust in automation are discussed. A conceptual model integrates research regarding trust in automation and describes the dynamics of trust, the role of context, and the influence of display characteristics. Actual or potential applications of this research include improved designs of systems that require people to manage imperfect automation.

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Trust in Automation: Designing for Appropriate Reliance

Traditional mechanistic accounts of language processing derive almost entirely from the study of monologue. Yet, the most natural and basic form of language use is dialogue. As a result, these accounts may only offer limited theories of the mechanisms that un- derlie language processing in general. We propose a mechanistic account of dialogue, the interactive alignment account, and use it to de- rive a number of predictions about basic language processes. The account assumes that, in dialogue, the linguistic representations em- ployed by the interlocutors become aligned at many levels, as a result of a largely automatic process. This process greatly simplifies production and comprehension in dialogue. After considering the evidence for the interactive alignment model, we concentrate on three aspects of processing that follow from it. It makes use of a simple interactive inference mechanism, enables the development of local di- alogue routines that greatly simplify language processing, and explains the origins of self-monitoring in production. We consider the need for a grammatical framework that is designed to deal with language in dialogue rather than monologue, and discuss a range of implica- tions of the account.

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Toward a mechanistic psychology of dialogue

Following Langer (1992), this article reviews a series of experimental studiesthat demonstrate that individuals mindlessly apply social rules and expecta-tions to computers. The first set of studies illustrates how individuals overusehuman social categories, applying gender stereotypes to computers and ethnicallyidentifying with computer agents. The second set demonstrates that people exhibitoverlearned social behaviors such as politeness and reciprocity toward comput-ers.Inthethirdsetofstudies,prematurecognitivecommitmentsaredemonstrated:Aspecialisttelevisionsetisperceivedasprovidingbettercontentthanageneralisttelevision set. A final series of studies demonstrates the depth of social responseswith respect to computer “personality.” Alternative explanations for these find -ings, such as anthropomorphism and intentional social responses, cannot explainthe results. We conclude with an agenda for future research.Computer users approach the personal computer in many different ways.Experienced word processors move smoothly from keyboard to mouse to menu,mixing prose and commands to the computer automatically; the distinctionbetween the hand and the tool blurs (Heidegger, 1977; Winograd & Flores, 1987).Novices cautiously strike each key, fearing that one false move will initiate anuncontrollable series of unwanted events. Game players view computers as

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Machines and Mindlessness: Social Responses to Computers

Part I. Introduction: 1. The media equation Part II. Media and Manners: 2. Politeness 3. Interpersonal distance 4. Flattery 5. Judging others and ourselves Part III. Media and Personality: 6. Personality of characters 7. Personality of interfaces 8. Imitating a personality Part IV. Media and emotion: 9. Good versus bad 10. Negativity 11. Arousal Part V. Media and Social Roles: 12. Specialists 13. Teammates 14. Gender 15. Voices 16. Source orientation Part VI. Media and Form: 17. Image size 18. Fidelity 19. Synchrony 20. Motion 21. Scene changes 22. Subliminal images Part VII. Final Words: 23. Conclusions about the media equation References.

Bryon Reeves

Papers

The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places