A decision-theoretic model of interactions between people and devices

Abstract

This research aimed to obtain insights about factors that influence the acceptability of a range of devices prior to usage, i.e., users apriori attitudes towards devices. The insights gained may be employed to mitigate device disuse and design devices for specificusers and tasks. The results of this research are described in (Zhan and Zukerman, 2016; Zhan et al., 2016; Zhan et al., 2018 submission pending). The research team designed a survey that elicits users views regarding the acceptability of devices in isolation and devices in the context of tasks. The survey showed participants 17 devices, e.g., robotic cleaner, health monitoring device, humanoid robot, robotic arm, smart shirt and smart glasses; and 15 tasks potentially performed by these devices, e.g., informing of an emergency of aplace or a person, adjusting the environment, performing physical actions and locating objects. The survey also obtained demographic information, information about users technical expertise and experience with devices, and interface preferences and asked open-ended questions about users views regarding devices and situations where smart devices would be useful (Zhanand Zukerman, 2016). 136 people participated in the survey. The main insights are divided into four categories: (1) devices, (2) demographic and technical experience, (3) tasks, and (4) implicitfactors. The implicit factors enabled the development of recommender systems that predict users ratings of devices in isolation and devices in the context of tasks. The research team first describes their insights, followed by the results obtained by the recommender systems.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2018
Accession Number
AD1054849

Entities

People

  • Ingrid Zukerman

Organizations

  • Monash University

Tags

Communities of Interest

  • Biomedical
  • Cyber

DTIC Thesaurus Topics

  • Acceptability
  • Air Force
  • Air Force Research Laboratories
  • Computers
  • Department Of Defense
  • Education
  • Emergencies
  • Environment
  • Factor Analysis
  • Military Research
  • Monitoring
  • Organizational Structure
  • Standards
  • Surveys
  • Universities
  • Video Games
  • Wearable Technology

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Integrated Circuit Design and Technology.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • Autonomy