Special Issue "Multimodal Technologies in Animal–Computer Interaction"

A special issue of Multimodal Technologies and Interaction (ISSN 2414-4088).

Deadline for manuscript submissions: closed (20 April 2018)

Special Issue Editors

Guest Editor
Dr. Naohisa Ohta

1. Graduate School of Media Design, Keio University, Japan
2. Global Research Fellow, Imagineering Institute, Malaysia
Website | E-Mail
Interests: multimedia communications; multimodal interface; ultra high-quality motion pictures; animal–computer-interaction
Guest Editor
Dr. Clara Mancini

Animal-Computer Interaction Lab
School of Computing and Communications, The Open University, UK
Website | E-Mail
Interests: animal–computer interaction; multispecies interaction design; animal–centred computing; ubiquitous computing
Guest Editor
Dr. Jake Veasey

Care for the Rare, School of Animal, Rural and Environmental Sciences, Nottingham Trent University, UK
Website1 | Website2 | E-Mail
Interests: applied animal welfare science; behavioural ecology; conservation biology; zoo design

Special Issue Information

Dear Colleagues,

Animals have been exposed to, and have interacted with, technology for the better part of a century; for example, in conservation activities, behavioural experiments, comparative cognition studies, precision farming, and in various support roles. At the crossroad between interaction design, on the one hand, and animal behavioural and welfare science, on the other, Animal-Computer Interaction (ACI) is a rapidly-growing field of research concerned with the interaction between animals and computing-enabled technology from an animal-centered perspective. Integrating a variety of multidisciplinary approaches, ACI aims to:

  • Investigate the interaction between animals and technology in naturalistic settings, with regards to specific animal activities or interspecies relations
  • Develop user-centered technology that can: Improve animals’ welfare by enabling the fulfillment of their needs; support animals in tasks humans might ask of them; foster interspecies relationships
  • Inform interdisciplinary user-centered approaches that can enable animals to participate in the design process as legitimate stakeholders and contributors.

The purpose of this Special Issue is to bring together state-of-the-art research articles on the use and potential of multimedia and multimodal interfaces for animal-centred applications and interactions. These might aim to improve animal welfare, foster interspecies relationships or support the development of animal-centred research methods, in relation to laboratory, farm, companion or wild animals. We invite original research articles, works in progress, surveys, and reviews. Topics of interest include, but are not limited to:

  • Animal Behavior and Multimodal Technology in ACI
  • Interaction Multimodality Design for ACI
  • Multisensory Technology for ACI
  • Multimedia Technology for ACI
  • Multimodal Design Solutions for ACI Applications
  • Multimodal Technology as Methodological Tool in ACI

Dr. Naohisa Ohta
Dr. Clara Mancini
Dr. Jake Veasey
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Multimodal Technologies and Interaction is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • Multimedia Technology for Animals
  • Multimodal Technology for Animals
  • Interaction between Animals and Technology
  • Multimodal Technology for Animal Welfare
  • Multimodal Technology for Interspecies Relationships
  • Animal-Centered Design of Multimodal Technologies

Published Papers (1 paper)

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Open AccessArticle A Wearable Sensor System for Lameness Detection in Dairy Cattle
Multimodal Technologies Interact. 2018, 2(2), 27; https://doi.org/10.3390/mti2020027
Received: 17 April 2018 / Revised: 8 May 2018 / Accepted: 8 May 2018 / Published: 15 May 2018
PDF Full-text (12716 KB) | HTML Full-text | XML Full-text | Supplementary Files
Cow lameness is a common manifestation in dairy cattle that causes severe health and life quality issues to cows, including pain and a reduction in their life expectancy. In our previous work, we introduced an algorithmic approach to automatically detect anomalies in the
[...] Read more.
Cow lameness is a common manifestation in dairy cattle that causes severe health and life quality issues to cows, including pain and a reduction in their life expectancy. In our previous work, we introduced an algorithmic approach to automatically detect anomalies in the walking pattern of cows using a wearable motion sensor. In this article, we provide further insights into a system for automatic lameness detection, including the decisions we made when designing the system, the requirements that drove these decisions and provide further insight into the algorithmic approach. Results from a controlled experiment we conducted indicate that our approach can detect deviations in cows’ gait with an accuracy of 91.1%. The information provided by our system can be useful to spot lameness-related diseases automatically and alarm veterinarians. Full article
(This article belongs to the Special Issue Multimodal Technologies in Animal–Computer Interaction)

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