Högskolan i Skövde

his.sePublications
Change search
Link to record
Permanent link

Direct link
Publications (10 of 26) Show all publications
Hjälm, E., Quach, M., Lagerstedt, E., Billing, E. & Nalin, K. (2024). Expectation Priming Through Linguistic Framings When Introducing Social Robots: An Empirical Study of Students’ UX in an Educational Context. In: Jonas Olofsson; Teodor Jernsäther-Ohlsson; Sofia Thunberg; Linus Holm; Erik Billing (Ed.), Proceedings of the 19th SweCog Conference: . Paper presented at Annual conference of the Swedish Cognitive Science Society (SweCog), Stockholm, October 10-11, 2024 (pp. 66-66). Skövde: University of Skövde, Article ID P20.
Open this publication in new window or tab >>Expectation Priming Through Linguistic Framings When Introducing Social Robots: An Empirical Study of Students’ UX in an Educational Context
Show others...
2024 (English)In: Proceedings of the 19th SweCog Conference / [ed] Jonas Olofsson; Teodor Jernsäther-Ohlsson; Sofia Thunberg; Linus Holm; Erik Billing, Skövde: University of Skövde , 2024, p. 66-66, article id P20Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

The field Human-Robot Interaction (HRI) involves new forms of social interactions that are dependent on the many and different earlier expectations of humans. In this study, the impact of linguistic framing on students' expectations and user experiences when being introduced to social robots in an educational setting were investigated. An empirical case study involved the social robot Pepper and 10 students aged 16–19. The introduction to Pepper utilized two forms of linguistic framing: positive and negative terms. Pre- and post-interaction interviews were conducted to assess the students' expectations and experiences. Assessments to measure negative attitudes toward robots and user experiences were conducted using the NARS and Godspeed questionnaires. Furthermore, filmed observations of the students' interactions with Pepper were used to provide additional insights. Results of the study showed that students' expectations and experiences varied depending on the type of introduction and linguistic framing utilized. While none of the differences among the questionnaire responses were statistically significant, the trends were in line with the clear results from the interviews and observations.

Place, publisher, year, edition, pages
Skövde: University of Skövde, 2024
Series
Skövde University Studies in Informatics: SUSI, ISSN 1653-2325 ; 2024:1
National Category
Human Computer Interaction
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-24713 (URN)978-91-989038-1-2 (ISBN)
Conference
Annual conference of the Swedish Cognitive Science Society (SweCog), Stockholm, October 10-11, 2024
Available from: 2024-11-19 Created: 2024-11-19 Last updated: 2025-01-07Bibliographically approved
Pereira, A., Marcinek, L., Miniota, J., Thunberg, S., Lagerstedt, E., Gustafson, J., . . . Irfan, B. (2024). Multimodal User Enjoyment Detection in Human-Robot Conversation: The Power of Large Language Models. In: ICMI '24: Proceedings of the 26th International Conference on Multimodal Interaction. Paper presented at ICMI '24, 26th International Conference on Multimodal Interaction, San Jose, Costa Rica, November 4 - 8, 2024 (pp. 469-478). ACM Digital Library
Open this publication in new window or tab >>Multimodal User Enjoyment Detection in Human-Robot Conversation: The Power of Large Language Models
Show others...
2024 (English)In: ICMI '24: Proceedings of the 26th International Conference on Multimodal Interaction, ACM Digital Library, 2024, p. 469-478Conference paper, Published paper (Refereed)
Abstract [en]

Enjoyment is a crucial yet complex indicator of positive user experience in Human-Robot Interaction (HRI). While manual enjoyment annotation is feasible, developing reliable automatic detection methods remains a challenge. This paper investigates a multimodal approach to automatic enjoyment annotation for HRI conversations, leveraging large language models (LLMs), visual, audio, and temporal cues. Our findings demonstrate that both text-only and multimodal LLMs with carefully designed prompts can achieve performance comparable to human annotators in detecting user enjoyment. Furthermore, results reveal a stronger alignment between LLM-based annotations and user self-reports of enjoyment compared to human annotators. While multimodal supervised learning techniques did not improve all of our performance metrics, they could successfully replicate human annotators and highlighted the importance of visual and audio cues in detecting subtle shifts in enjoyment. This research demonstrates the potential of LLMs for real-time enjoyment detection, paving the way for adaptive companion robots that can dynamically enhance user experiences.

Place, publisher, year, edition, pages
ACM Digital Library, 2024
Keywords
User Enjoyment, Afect Recognition, Human-Robot Interaction, Large Language Models, Multimodal, Older Adults
National Category
Natural Language Processing Human Computer Interaction
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-24775 (URN)10.1145/3678957.3685729 (DOI)2-s2.0-85212589337 (Scopus ID)979-8-4007-0462-8 (ISBN)
Conference
ICMI '24, 26th International Conference on Multimodal Interaction, San Jose, Costa Rica, November 4 - 8, 2024
Funder
Swedish Research Council, 2021-05803
Note

CC BY 4.0

Published:04 November 2024

The ACM Digital Library is published by the Association for Computing Machinery. Copyright © 2024 ACM, Inc.

This work was supported by KTH Digital Futures (Sweden) and the Swedish Research Council project 2021-05803.

Available from: 2024-12-11 Created: 2024-12-11 Last updated: 2025-02-01Bibliographically approved
Lagerstedt, E. (2024). Perceiving agents: Pluralism, interaction, and existence. (Doctoral dissertation). Skövde: University of Skövde
Open this publication in new window or tab >>Perceiving agents: Pluralism, interaction, and existence
2024 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Perception is a vast subject to study. One way to approach and study it might therefore be to break down the concept into smaller pieces. Specific modes of sensation, mechanisms, phenomena, or contexts might be selected as the proxy or starting point for addressing perception as a whole. Another approach would be to widen the concept, and attempt to study perception through the larger context of which it is a part. I have, in this thesis, attempted the latter strategy, by emphasising an existential perspective, and examine the role and nature of perception through that lens.

The larger perspective of broadening the scope does not specifically allow for better answers, but rather different kinds of answers, providing complementary ways of exploring what it means to be an artificial or natural agent, and what consequences that can have for the access to, as well as representation, processing, and communication of information. A broader stance can also facilitate exploration of questions regarding larger perspectives, such as the relation between individual agents, as well as their place in larger structures such as societies and cyber-physical systems.

In this thesis I use existential phenomenology to frame the concept of perception, while drawing from theories in biology and psychology. My work has a particular focus on human-robot interaction, a field of study at a fascinating intersection of humans designing, using, and communicating with something human-made, partially human-like, yet distinctly non-human. The work is also applied to some aspects of the traffic domain which, given the increasing interest in self-driving vehicles, is partially another instance of complex and naturalistic human-robot interaction.

Ultimately, I argue for a pluralistic and pragmatic approach to the understanding of perception, and its related concepts. To understand a system of agents as they interact, it is not only necessary to acknowledge their respective circumstances, but take serious the idea that none of the agents’ constructed worlds are more or less real, they might only be more or less relevant in relation to specific contexts, perspectives, or needs. Such an approach is particularly relevant when addressing the complexities of the increasingly urgent sustainability challenges.

Abstract [sv]

Perception är ett enormt brett ämne att studera. Ett sätt att närma sig ämnet är därför att bryta ner konceptet i mindre delar. Specifika sinnen, mekanismer, fenomen eller sammanhang kan då väljas ut som representanter eller som startpunkter för att närma sig perception som helhet. Ett annat sätt är att istället bredda konceptet och försöka studera perception genom det större sammanhang som det är del av. Jag har i denna avhandling valt den senare strategin, genom att betona ett existentiellt perspektiv och undersöka perceptionens roll och natur genom den linsen.

Att bredda perspektivet innebär inte specifikt bättre svar, utan snarare andra sorters svar. Detta bidrar i sin tur med kompletterande sätt att utforska vad det innebär att vara en artificiell eller naturlig agent, och vilka konsekvenser det kan ha i termer av tillgång till, såväl som representation, bearbetning och kommunikation av, information. Ett breddat synsätt kan dessutom underlätta utforskandet av frågor gällande större perspektiv såsom relationen mellan individuella agenter och deras plats i större strukturer såsom samhällen och cyberfysiska system.

I denna avhandling använder jag den teoretiska utgångspunkten existentiell fenomenologi för att rama in konceptet perception, men jag förlitar mig också på teorier från biologi och psykologi. Mer praktiskt har jag tillämpat dessa teorier på människa-robotinteraktion, vilket är ett ämne som uppstår i mötet mellan människor som skapar, använder och kommunicerar med något som är tillverkat av människor, som delvis är människolikt men samtidigt är distinkt icke-mänskligt. Jag har också tillämpat teorierna på några aspekter av trafikdomänen vilket delvis, givet det ökande intresset för självkörande fordon, kan ses som en instans av komplex och naturalistisk människa-robotinteraktion.

Slutligen argumenterar jag för ett pluralistiskt och pragmatiskt tillvägagångssätt för att förstå perception och dess relaterade koncept. I system av interagerande agenter är det inte bara nödvändigt att erkänna deras respektive förutsättningar. Det är också viktigt att på allvar ta idén om att ingen agents konstruerade värld är mer eller mindre verklig, de är bara mer eller mindre relevanta i relation till specifika sammanhang, perspektiv eller behov. Ett pluralistiskt och pragmatiskt tillvägagångssätt är än mer relevant för att bemöta de alltmer brådskande hållbarhetsutmaningarna.

Place, publisher, year, edition, pages
Skövde: University of Skövde, 2024. p. xv, 255
Series
Dissertation Series ; 58
National Category
Philosophy Human Aspects of ICT Robotics and automation Information Systems
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-23632 (URN)978-91-987907-2-6 (ISBN)
Public defence
2024-03-22, Högskolan i Skövde, D107, Skövde, 13:15 (English)
Opponent
Supervisors
Available from: 2024-02-27 Created: 2024-02-26 Last updated: 2025-02-05Bibliographically approved
Winkle, K., Lagerstedt, E., Torre, I. & Offenwanger, A. (2023). 15 Years of (Who)man Robot Interaction: Reviewing the H in Human-Robot Interaction. ACM Transactions on Human-Robot Interaction, 12(3), Article ID 28.
Open this publication in new window or tab >>15 Years of (Who)man Robot Interaction: Reviewing the H in Human-Robot Interaction
2023 (English)In: ACM Transactions on Human-Robot Interaction, E-ISSN 2573-9522, Vol. 12, no 3, article id 28Article, review/survey (Refereed) Published
Abstract [en]

Recent work identified a concerning trend of disproportional gender representation in research participants in Human-Computer Interaction (HCI). Motivated by the fact that Human-Robot Interaction (HRI) shares many participant practices with HCI, we explored whether this trend is mirrored in our field. By producing a dataset covering participant gender representation in all 684 full papers published at the HRI conference from 2006-2021, we identify current trends in HRI research participation. We find an over-representation of men in research participants to date, as well as inconsistent and/or incomplete gender reporting which typically engages in a binary treatment of gender at odds with published best practice guidelines. We further examine if and how participant gender has been considered in user studies to date, in-line with current discourse surrounding the importance and/or potential risks of gender based analyses. Finally, we complement this with a survey of HRI researchers to examine correlations between the who is doing with the who is taking part, to further reflect on factors which seemingly influence gender bias in research participation across different sub-fields of HRI. Through our analysis we identify areas for improvement, but also reason for optimism, and derive some practical suggestions for HRI researchers going forward.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2023
Keywords
Gender, Systematic Review, User Study Methodologies, Participant Recruitment, Inclusivity
National Category
Human Aspects of ICT Gender Studies Robotics and automation
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-22066 (URN)10.1145/3571718 (DOI)001020331600001 ()2-s2.0-85163177354 (Scopus ID)
Note

CC BY 4.0

*All authors contributed equally to this work. KW has taken on first author responsibilities whilst 2nd-4th author ordering was decided by dice roll. Authors’ addresses: Katie Winkle*, Uppsala Universitet, Sweden, katie.winkle@it.uu.se; Erik Lagerstedt*, University of Skövde, Sweden,erik.lagerstedt@his.se; Ilaria Torre*, KTH Royal Institute of Technology, Sweden, ilariat@kth.se; Anna Ofenwanger*, Université Paris-Saclay, CNRS, Inria, LISN, Orsay, France, anna.ofenwanger@universite-paris-saclay.fr.

We first want to acknowledge those authors who came before us in identifying issues around gender in HCI – these works have signicantly informed this manuscript, but also our approaches to HRI research more broadly. We wish to specically thank Dongwook Yoon and Julia Bullard for their work on the conceptualisation and development of the gender data schema and extraction method that we build on [59]; also Minsuk Chang, Alan Milligan, and Austin Kobayashi for their input and work on initial version of the MAGDA tool [59].We would like to thank all of the HRI researchers who engaged with our survey. We additionally want to thank those reviewers who provided constructive feedback on an earlier version of this work, and reviewersfor/attendees of the DEI Workshop held at HRI 2022 for further discussion – the manuscript is improved greatly as a result and we hope we have done justice to both the positive and negative critique we have received. All figures were generated with a colour palette based on the non-binary pride lag, created by Joel Le Forestier (https://joelleforestier.com/#pridepalettes). This work was partially funded by the Digital Futures Research Centre.

Available from: 2022-11-21 Created: 2022-11-21 Last updated: 2025-02-05Bibliographically approved
Torre, I. & Lagerstedt, E. (2023). Can a gender ambiguous robot voice reduce gender stereotypes?. In: Pierre Gander; Linus Holm; Erik Billing (Ed.), Proceedings of the 18th SweCog Conference: . Paper presented at 18th SweCog Conference, Swedish Cognitive Society, Göteborg 2023, 5 - 6 October (pp. 79-82). Skövde: Högskolan i Skövde
Open this publication in new window or tab >>Can a gender ambiguous robot voice reduce gender stereotypes?
2023 (English)In: Proceedings of the 18th SweCog Conference / [ed] Pierre Gander; Linus Holm; Erik Billing, Skövde: Högskolan i Skövde , 2023, , p. 90p. 79-82Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Skövde: Högskolan i Skövde, 2023. p. 90
Series
Skövde University Studies in Informatics: SUSI, ISSN 1653-2325 ; 2023:1
National Category
Psychology (excluding Applied Psychology) Computer Sciences Human Aspects of ICT Gender Studies
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-23343 (URN)978-91-989038-0-5 (ISBN)
Conference
18th SweCog Conference, Swedish Cognitive Society, Göteborg 2023, 5 - 6 October
Note

Short paper

Available from: 2023-11-08 Created: 2023-11-08 Last updated: 2024-04-15Bibliographically approved
Torre, I., Lagerstedt, E., Dennler, N., Seaborn, K., Leite, I. & Székely, É. (2023). Can a gender-ambiguous voice reduce gender stereotypes in human-robot interactions?. In: Proceedings of the 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): . Paper presented at IEEE International Workshop on Robot and Human Communication (ROMAN), August 28-31, 2023, Paradise Hotel, Busan, Korea (pp. 106-112). IEEE
Open this publication in new window or tab >>Can a gender-ambiguous voice reduce gender stereotypes in human-robot interactions?
Show others...
2023 (English)In: Proceedings of the 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), IEEE, 2023, p. 106-112Conference paper, Published paper (Refereed)
Abstract [en]

When deploying robots, its physical characteristics, role, and tasks are often fixed. Such factors can also be associated with gender stereotypes among humans, which then transfer to the robots. One factor that can induce gendering but is comparatively easy to change is the robot’s voice. Designing voice in a way that interferes with fixed factors might therefore be a way to reduce gender stereotypes in human-robot interaction contexts. To this end, we have conducted a video-based online study to investigate how factors that might inspire gendering of a robot interact. In particular, we investigated how giving the robot a gender-ambiguous voice can affect perception of the robot. We compared assessments (n=111) of videos in which a robot’s body presentation and occupation mis/matched with human gender stereotypes. We found evidence that a gender-ambiguous voice can reduce gendering of a robot endowed with stereotypically feminine or masculine attributes. The results can inform more just robot design while opening new questions regarding the phenomenon of robot gendering.

Place, publisher, year, edition, pages
IEEE, 2023
Series
IEEE International Symposium on Robot and Human Interactive Communication proceedings, ISSN 1944-9445, E-ISSN 1944-9437
National Category
Robotics and automation Interaction Technologies Human Aspects of ICT Gender Studies
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-23358 (URN)10.1109/RO-MAN57019.2023.10309500 (DOI)001108678600016 ()2-s2.0-85187027115 (Scopus ID)979-8-3503-3670-2 (ISBN)979-8-3503-3671-9 (ISBN)
Conference
IEEE International Workshop on Robot and Human Communication (ROMAN), August 28-31, 2023, Paradise Hotel, Busan, Korea
Note

This work was partially funded by the Digital Futures research centre. All figures were generated with a colour palette based on the non-binary pride flag, created by Joel Le Forestier (https://joelleforestier.com/#pridepalettes).

Available from: 2023-11-14 Created: 2023-11-14 Last updated: 2025-02-05Bibliographically approved
Lagerstedt, E. & Thill, S. (2023). Conceptual Tools for Exploring Perspectives of Different Kinds of Road-Users. In: : . Paper presented at HAI ’23 Workshop — Cars As Social Agents, Gothenburg, Sweden, December 4, 2023, Co-located with the 11th International Conference on Human-Agent Interaction (HAI 2023).
Open this publication in new window or tab >>Conceptual Tools for Exploring Perspectives of Different Kinds of Road-Users
2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

The traffic domain is increasingly inhabited by vehicles with driving support systems and automation to the degree where the idea of fully autonomous vehicles is gaining popularity as a credible prediction about the near future. As more aspects of driving become automated, the role of the driver, and the way they perceive their vehicle, surroundings, and fellow road users, change. To address some of the emerging kinds of interaction between different agents in the traffic environment, it is important to take social phenomena and abilities into account, even to the extent of considering highly automated vehicles to be social agents in their own right. To benefit from that, it is important to frame the perception of the traffic environment, as well as the road users in it, in an appropriate theoretical context. We propose that there are helpful concepts related to functional and subjective perception, derived from gestalt psychology and Umweltlehre, that can fill this theoretical need, and support better understanding of vehicles of various degrees of automation.

Keywords
Autonomous Vehicles, Human-Agent Interaction, Human-Robot Interaction, perception, social, interaction
National Category
Human Computer Interaction Psychology Transport Systems and Logistics
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-23444 (URN)
Conference
HAI ’23 Workshop — Cars As Social Agents, Gothenburg, Sweden, December 4, 2023, Co-located with the 11th International Conference on Human-Agent Interaction (HAI 2023)
Available from: 2023-12-08 Created: 2023-12-08 Last updated: 2023-12-11Bibliographically approved
Rosén, J., Lagerstedt, E. & Lamb, M. (2023). Investigating NARS: Inconsistent Practice of Application and Reporting. In: Proceedings of the 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): . Paper presented at IEEE International Workshop on Robot and Human Communication (ROMAN), August 28-31, 2023, Paradise Hotel, Busan, Korea (pp. 922-927). IEEE
Open this publication in new window or tab >>Investigating NARS: Inconsistent Practice of Application and Reporting
2023 (English)In: Proceedings of the 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), IEEE, 2023, p. 922-927Conference paper, Published paper (Refereed)
Abstract [en]

The Negative Attitude toward Robots Scale (NARS) is one of the most common questionnaires used in the studies of human-robot interaction (HRI). It was established in 2004, and has since then been used in several domains to measure attitudes, both as main results and as a potential confounding factor. To better understand this important tool of HRI research, we reviewed the HRI literature with a specific focus on practice and reporting related to NARS. We found that the use of NARS is being increasingly reported, and that there is a large variation in how NARS is applied. The reporting is, however, often not done in sufficient detail, meaning that NARS results are often difficult to interpret, and comparing between studies or performing meta-analyses are even more difficult. After providing an overview of the current state of NARS in HRI, we conclude with reflections and recommendations on the practices and reporting of NARS.

Place, publisher, year, edition, pages
IEEE, 2023
Series
IEEE International Symposium on Robot and Human Interactive Communication proceedings, ISSN 1944-9445, E-ISSN 1944-9437
National Category
Robotics and automation Human Aspects of ICT Interaction Technologies
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-23359 (URN)10.1109/RO-MAN57019.2023.10309650 (DOI)001108678600106 ()2-s2.0-85186997999 (Scopus ID)979-8-3503-3670-2 (ISBN)979-8-3503-3671-9 (ISBN)
Conference
IEEE International Workshop on Robot and Human Communication (ROMAN), August 28-31, 2023, Paradise Hotel, Busan, Korea
Available from: 2023-11-14 Created: 2023-11-14 Last updated: 2025-02-05Bibliographically approved
Lagerstedt, E. & Thill, S. (2023). Multiple Roles of Multimodality Among Interacting Agents. ACM Transactions on Human-Robot Interaction, 12(2), Article ID 17.
Open this publication in new window or tab >>Multiple Roles of Multimodality Among Interacting Agents
2023 (English)In: ACM Transactions on Human-Robot Interaction, E-ISSN 2573-9522, Vol. 12, no 2, article id 17Article in journal (Refereed) Published
Abstract [en]

The term ‘multimodality’ has come to take on several somewhat different meanings depending on the underlying theoretical paradigms and traditions, and the purpose and context of use. The term is closely related to embodiment, which in turn is also used in several different ways. In this paper, we elaborate on this connection and propose that a pragmatic and pluralistic stance is appropriate for multimodality. We further propose a distinction between first and second order effects of multimodality; what is achieved by multiple modalities in isolation and the opportunities that emerge when several modalities are entangled. This highlights questions regarding ways to cluster or interchange different modalities, for example through redundancy or degeneracy. Apart from discussing multimodality with respect to an individual agent, we further look to more distributed agents and situations where social aspects become relevant.

In robotics, understanding the various uses and interpretations of these terms can prevent miscommunication when designing robots, as well as increase awareness of the underlying theoretical concepts. Given the complexity of the different ways in which multimodality is relevant in social robotics, this can provide the basis for negotiating appropriate meanings of the term at a case by case basis.

Place, publisher, year, edition, pages
ACM Digital Library, 2023
Keywords
Multimodality, Embodiment, Robotics, Sensors
National Category
Philosophy Human Aspects of ICT Robotics and automation
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-21986 (URN)10.1145/3549955 (DOI)001020329300004 ()2-s2.0-85164237637 (Scopus ID)
Note

CC BY 4.0

Available from: 2022-10-27 Created: 2022-10-27 Last updated: 2025-02-05Bibliographically approved
Rosén, J. & Lagerstedt, E. (2023). Speaking Properly with Robots. In: : . Paper presented at HRI ’23 Workshop — Inclusive HRI II, Equity and Diversity in Design, Application, Methods, and Community, Stockholm, Sweden, March 13, 2023, Co-located with the 2023 International Conference on Human-Robot Interaction (HRI 2023) (pp. 1-3).
Open this publication in new window or tab >>Speaking Properly with Robots
2023 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

There is a risk of genuine but norm-breaking phenomena related to human-robot interaction remaining invisible, since their rarity make observed instances dismissed as anecdotes. In this extended abstract we present observations related to bias in who is understood in vocal interactions with robots. Noting the fundamentally political and intersectional nature of the problem, we call for a strategy for documenting such comparatively rare or messy events to break the invisibility and facilitate accumulation of evidence.

Keywords
Robots, HRI, Speech Recognition, Vocal Interaction, Sociolinguistics
National Category
Robotics and automation Ethics General Language Studies and Linguistics
Research subject
Interaction Lab (ILAB)
Identifiers
urn:nbn:se:his:diva-22330 (URN)
Conference
HRI ’23 Workshop — Inclusive HRI II, Equity and Diversity in Design, Application, Methods, and Community, Stockholm, Sweden, March 13, 2023, Co-located with the 2023 International Conference on Human-Robot Interaction (HRI 2023)
Available from: 2023-03-21 Created: 2023-03-21 Last updated: 2025-02-05Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-8937-8063

Search in DiVA

Show all publications