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Affordance++: Allowing Objects to Communicate Dynamic Use

Published: 18 April 2015 Publication History

Abstract

We propose extending the affordance of objects by allowing them to communicate dynamic use, such as (1) motion (e.g., spray can shakes when touched), (2) multi-step processes (e.g., spray can sprays only after shaking), and (3) behaviors that change over time (e.g., empty spray can does not allow spraying anymore). Rather than enhancing objects directly, however, we implement this concept by enhancing the user. We call this affordance++. By stimulating the user's arms using electrical muscle stimulation, our prototype allows objects not only to make the user actuate them, but also perform required movements while merely approaching the object, such as not to touch objects that do not "want" to be touched. In our user study, affordance++ helped participants to successfully operate devices of poor natural affordance, such as a multi-functional slicer tool or a magnetic nail sweeper, and to stay away from cups filled with hot liquids.

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cover image ACM Conferences
CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
April 2015
4290 pages
ISBN:9781450331456
DOI:10.1145/2702123
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Published: 18 April 2015

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Author Tags

  1. affordance
  2. electrical muscle stimulation

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CHI '15
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CHI '15: CHI Conference on Human Factors in Computing Systems
April 18 - 23, 2015
Seoul, Republic of Korea

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CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

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  • (2024)DexteriSync: A Hand Thermal I/O Exoskeleton for Morphing Finger Dexterity ExperienceProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676422(1-12)Online publication date: 13-Oct-2024
  • (2024)SonoHaptics: An Audio-Haptic Cursor for Gaze-Based Object Selection in XRProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676384(1-19)Online publication date: 13-Oct-2024
  • (2024)Can a Smartwatch Move Your Fingers? Compact and Practical Electrical Muscle Stimulation in a SmartwatchProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676373(1-15)Online publication date: 13-Oct-2024
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  • (2024)Demonstrating Magnus: A Magnetic Hand Exoskeleton for Fast and Dexterous Finger ActuationACM SIGGRAPH 2024 Emerging Technologies10.1145/3641517.3664390(1-2)Online publication date: 13-Jul-2024
  • (2024)(W)E-waste: Creative Making with Wasted Computing DevicesProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3660761(83-85)Online publication date: 23-Jun-2024
  • (2024)SplitBody: Reducing Mental Workload while Multitasking via Muscle StimulationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642629(1-11)Online publication date: 11-May-2024
  • (2024)Understanding User Acceptance of Electrical Muscle Stimulation in Human-Computer InteractionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642585(1-16)Online publication date: 11-May-2024
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