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Technologically Yours : How New Technologies Affect Psychological Distance.
Alexander. Kaju ProQuest Information
and
Learning Co.; University of Toronto (Canada). Management. 2020
Dissertations Abstracts International 81-12B.
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題名:
Technologically Yours : How New Technologies Affect Psychological Distance.
著者:
Alexander. Kaju
ProQuest Information
and
Learning Co.
;
University of Toronto (Canada). Management.
主題:
Marketing
;
Behavioral psychology
;
Information technology
;
New technologies
;
Psychological distance
;
Electronic books
所屬期刊:
Dissertations Abstracts International 81-12B.
描述:
Consumers have at their disposal an ever-increasing variety of new technologies with which to receive
and
communicate information. Prior research has examined why individuals choose one source of information over another, but not how the source of information influences judgments about the information it provides. The present dissertation examines how judgments of psychological distance are affected by the source or modality from which they are received, focusing on communication media (text messages versus emails)
and
algorithmic (versus human) prediction.Essay 1 investigates whether the prominent norms attached to different communication modalities contain information in
and
of themselves. I consider this question through the lens of text messages
and
emails, hypothesized to confer different normative information about urgency. Text messages (versus emails)-or any communication inferred by receivers to have been sent with greater urgency-cause the content of those messages to seem, in the eyes of receivers, closer in time (Study 1), closer in space (Study 2), and more likely to occur (Study 3). Moderation and mediation analyses confirm the role of urgency underlying the relationship between modality and distance. I provide evidence for these effects in a series of lab studies together with a field study in which real text messages and emails impact not only inferred distance but also a behavior deriving therefrom.Essay 2 investigates how judgments of psychological distance across a range of predictions, forecasts, and recommendations, are affected by the source of those predictions. Specifically, I examine differences in the judgment of these distances when predictions are provided by human or algorithmic sources. I find that predictions are judged differently depending on their source. Participants judged machine recommendations to be spatially and temporally closer (Studies 1 and 2) but felt socially closer to and perceived increased likelihood in human recom
出版者:
Thesis (Ph.D.)--University of Toronto (Canada), 2020.
建立日期:
2020
格式:
1 online resource (123 pages)..
語言:
英文
識別號:
ISBN9798662394544
資源來源:
NUTN ALEPH
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