Introduction to the Special Issue on Sound in Human-Robot Interaction
Bibliographic Data
| ID | 22190549 |
|---|---|
| Authors | Frederic Anthony Robinson (0000-0003-1568-1112, UNSW Sydney), Hannah Pelikan (0000-0003-0992-5176, Linköping University), Katsumi Watanabe (0000-0003-1282-9994, Waseda University), Luisa Damiano (0000-0003-4786-524X, IULM University), Oliver Bown (0000-0001-9520-0192, UNSW Sydney), Mari Velonaki (0000-0002-7428-0303, UNSW Sydney) |
| Year | 2023 |
| Volume | 12 |
| Issue | 4 |
| Pages | 1-5 |
| Publication date | 2023-12-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ACM Transactions on Human-Robot Interaction (JOURNAL) |
| Journal identifiers | ISSN: 2573-9522 • E-ISSN: 2573-9522 |
| Publisher | Association for Computing Machinery (ACM) (PUBLISHER) |
| DOI | 10.1145/3632185 |
| OpenAlex | W4389675032 |
| Language | EN |
| Citations received | 2 |
| References cited | 19 |
INTRODUCTION: Sound is an important interaction modality and a large part of human interaction happens in the aural domain. While research in Human-Robot Interaction (HRI) has long explored spoken language for interacting with humans, sound as a broader-and, to a significant degree, nonlexical (i.e., without words)-medium has been given comparably less attention. Yet, the range of sounds that robots can produce is vast, encompassing, among others, mechanical noise, music, and utterances that mimic human and animal vocalizations with varying degrees of realism. The sound of a robot's machinery can shape our perceptions and expectations [11, 17], music serves as a medium for robots to engage and communicate [18], and shared musical experiences can strengthen the bond between humans and robots [5]. Sonifications may enhance the legibility of movement and gestures [4, 7, 15] and beep sounds may be used to communicate emotions [2, 14]. Getting closer to themargins of language, robotsmay take inspiration from non-lexical fillers such as "uh" [13, 16] and backchannels such as "mhmm" [8, 12]. More generally, pitch, intensity, and other human prosodic variations may be drawn on in robot sound design [3, 10]. The information that can be extracted from sound in a robot's environment is equally rich. Beyond the recognition of semantic content, robots use, for example, sound source localization to gain a better understanding of their environment [9], or analyze a human's voice timbre and tone to distinguish speakers [6] and detect emotion [1]
Acoustics · Autonomy · Control engineering · Human–computer interaction · Mobile robot · Perception · Political science · Robot · Robot control · Workspace · Computer Science · Engineering · Psychology · Robot Manipulation and Learning · Social Robot Interaction and HRI · Tactile and Sensory Interactions · Artificial Intelligence
| Unique citing works | 2 |
|---|---|
| Citations per year | 2 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |