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Bensch, Suna
Publications (10 of 63) Show all publications
Hellström, T. & Bensch, S. (2024). Apocalypse now: no need for artificial general intelligence. AI & Society: The Journal of Human-Centred Systems and Machine Intelligence, 39, 811-813
Open this publication in new window or tab >>Apocalypse now: no need for artificial general intelligence
2024 (English)In: AI & Society: The Journal of Human-Centred Systems and Machine Intelligence, ISSN 0951-5666, E-ISSN 1435-5655, Vol. 39, p. 811-813Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Springer, 2024
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-198054 (URN)10.1007/s00146-022-01526-8 (DOI)000819880400002 ()2-s2.0-85133266192 (Scopus ID)
Available from: 2022-07-14 Created: 2022-07-14 Last updated: 2024-06-19Bibliographically approved
Bensch, S. (Ed.). (2024). Proceedings of Umeå's 27th Student Conference in Computing: USCCS 2024. Paper presented at Umeå's 27th Student Conference in Computing (USCCS 2024). Umeå: Umeå University
Open this publication in new window or tab >>Proceedings of Umeå's 27th Student Conference in Computing: USCCS 2024
2024 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

The Umeå Student Conference in Computing Science (USCCS) is an annual event organized as part of a course offered by the Department of Computing Science at Ume ̊a University. The primary aim of the course is to provide students with a hands-on introduction to independent research, scientific writing, and oral presentation. 

A student who participates in the course selects a topic in computing science and related areas and formulates a research question. The course revolves around three significant milestones. The first milestone requires students to write a lit- erature overview with an annotated bibliography, demonstrating not only their academic proficiency but also grounding their research into existing literature - standing on the shoulder of giants. The second milestone involves the actual research and its description in a scholarly manner, demonstrating a commitment to academic excellence, rigour and adherence to high standards. The third milestone encompasses the analysis and discussion of the obtained results, ensuring a thorough and objective examination. 

These three milestones are supported by three peer-review group meetings, consisting of 4-5 students each. During these sessions, each ongoing draft or milestone is efficiently and critically discussed aiming at guidance and improvement of the draft. This process provides valuable training in both giving and receiving constructive criticism. 

In addition, four lectures support the students’ learning and progress in the incremental development and refinement of a scientific paper, and timely discusssions on research ethics and quality. 

Each scientific paper is submitted to USCCS through EasyChair, an on-line submission system, and receives anonymous reviews from experts in the field. Based on the reviews and the editor’s assessment a decision of acceptance is made. Reviewers’ comments are incorporated, and the revised manuscripts undergo a final review before being included in these proceedings. The review process and conference format aim to simulate realistic settings for publishing processes and participation in scientific conferences. 

The conference is the highlight of the course, and this year, we received 14 submissions out of a possible 16, each thoroughly reviewed by experts listed on the following page. As a result, 8 submissions have been accepted for presentation at the conference. We extend our gratitude to the reviewers for their efforts within a tight timeframe and busy schedules. 

We also thank all authors for their dedication and outstanding final results, which will be presented during the conference. We wish all participants interesting exchange of ideas and stimulating discussions throughout USCCS. 

Place, publisher, year, edition, pages
Umeå: Umeå University, 2024. p. 117
Series
Report / UMINF, ISSN 0348-0542 ; 24.01
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-219054 (URN)
Conference
Umeå's 27th Student Conference in Computing (USCCS 2024)
Available from: 2024-01-07 Created: 2024-01-07 Last updated: 2024-01-08Bibliographically approved
Engwall, O., Bandera Rubio, J. P., Bensch, S., Haring, K. S., Kanda, T., Núñez, P., . . . Sgorbissa, A. (2023). Editorial: Socially, culturally and contextually aware robots. Frontiers in Robotics and AI, 10, Article ID 1232215.
Open this publication in new window or tab >>Editorial: Socially, culturally and contextually aware robots
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2023 (English)In: Frontiers in Robotics and AI, E-ISSN 2296-9144, Vol. 10, article id 1232215Article in journal, Editorial material (Other academic) Published
Place, publisher, year, edition, pages
Frontiers Media S.A., 2023
Keywords
context awareness, cultural awareness, original research, reviews-articles, social robots
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-217212 (URN)10.3389/frobt.2023.1232215 (DOI)2-s2.0-85177180605 (Scopus ID)
Available from: 2023-11-29 Created: 2023-11-29 Last updated: 2023-11-29Bibliographically approved
Bensch, S. & Eriksson, A. (2023). Mining multi-modal communication patterns in interaction with explainable and non-explainable robots. In: : . Paper presented at IEEE RO-MAN 2023, 32nd IEEE International conference on Robot and Human Interactive Communication; Workshop Human-Robot Interaction for Explainability in Robotics, Busan, Korea, August 28-31, 2023.
Open this publication in new window or tab >>Mining multi-modal communication patterns in interaction with explainable and non-explainable robots
2023 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We investigate interaction patterns for humans interacting with explainable and non-explainable robots. Non-explainable robots are here robots that do not explain their actions or non-actions, neither do they give any other feedbackduring interaction, in contrast to explainable robots. We video recorded and analyzed human behavior during a board game, where 20 humans verbally instructed either an explainable or non-explainable Pepper robot to move objects on the board. The transcriptions and annotations of the videos were transformed into transactions for association rule mining. Association rules discovered communication patterns in the interaction between the robots and the humans, and the most interesting rules were also tested with regular chi-square tests. Some statistically significant results are that there is a strong correlation between men and non-explainable robots and women and explainable robots, and that humans mirror some of the robot’s modality. Our results also show that it is important to contextualize human interaction patterns, and that this can be easily done using association rules as an investigative tool. The presented results are important when designing robots that should adapt their behavior to become understandable for the interacting humans.

National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-214433 (URN)
Conference
IEEE RO-MAN 2023, 32nd IEEE International conference on Robot and Human Interactive Communication; Workshop Human-Robot Interaction for Explainability in Robotics, Busan, Korea, August 28-31, 2023
Available from: 2023-09-14 Created: 2023-09-14 Last updated: 2023-09-18
Bensch, S., Sun, J., Bandera Rubio, J. P., Romero-Garcés, A. & Hellström, T. (2023). Personalised multi-modal communication for HRI. In: : . Paper presented at WARN workshop at the 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN, Busan, Korea, August 28-31, 2023.
Open this publication in new window or tab >>Personalised multi-modal communication for HRI
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2023 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

One important aspect when designing understandable robots is how robots should communicate with a human user to be understood in the best way. In elder care applications this is particularly important, and also difficult since many older adults suffer from various kinds of impairments. In this paper we present a solution where communication modality and communication parameters are adapted to fit both a user profile and an environment model comprising information about light and sound conditions that may affect communication. The Rasa dialogue manager is complemented with necessary functionality, and the operation is verified with a Pepper robot interacting with several personas with impaired vision, hearing, and cognition. Several relevant ethical questions are identified and briefly discussed, as a contribution to the WARN workshop.

National Category
Computer Sciences Robotics
Identifiers
urn:nbn:se:umu:diva-214496 (URN)
Conference
WARN workshop at the 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN, Busan, Korea, August 28-31, 2023
Available from: 2023-09-19 Created: 2023-09-19 Last updated: 2023-09-20Bibliographically approved
Bensch, S. (Ed.). (2023). Proceedings of Umeå’s 26th Student Conference in Computing Science 2023 (USCCS 2023). Paper presented at Student Conference in Computing Science 2023 (USCCS 2023). Umeå: Umeå University
Open this publication in new window or tab >>Proceedings of Umeå’s 26th Student Conference in Computing Science 2023 (USCCS 2023)
2023 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

The Umeå Student Conference in Computing Science (USCCS) is organized annually as part of a course given by the Computing Science department at Umeå University. The objective of the course is to give the students a practical introduction to independent research, scientific writing, and oral presentation. A student who participates in the course first selects a topic and a research question that they are interested in. If the topic is accepted, the student outlines a paper and composes an annotated bibliography to give a survey of the research topic. The main work consists of conducting the actual research that answers the question asked, and convincingly and clearly reporting the results in a scientific paper. Another major part of the course is multiple internal peer review meetings in which groups of students read each others’ papers and give feedback to the author. This process gives valuable training in both giving and receiving criticism in a constructive manner. Altogether, the students learn to formulate and develop their own ideas in a scientific manner, in a process involving internal peer reviewing of each other’s work and under supervision of the teachers, and incremental development and refinement of a scientific paper. Each scientific paper is submitted to USCCS through an on-line submission system, and receives two reviews. Based on the review, the editors of the conference proceedings issue a decision of preliminary acceptance of the paper to each author. If, after final revision, a paper is accepted, the student is given the opportunity to present the work at the conference. The review process and the conference format aims at mimicking realistic settings for publishing and participation at scientific conferences.

Place, publisher, year, edition, pages
Umeå: Umeå University, 2023. p. 111
Series
Report / UMINF, ISSN 0348-0542 ; 23.01
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-202970 (URN)
Conference
Student Conference in Computing Science 2023 (USCCS 2023)
Available from: 2023-01-14 Created: 2023-01-14 Last updated: 2023-01-16Bibliographically approved
Yildiz, E., Bensch, S. & Dignum, F. (2022). Incorporating Social Practices in Dialogue Systems. In: Asbjørn Følstad; Theo Araujo; Symeon Papadopoulos; Effie L.-C. Law Ewa Luger Morten Goodwin Petter Bae Brandtzaeg (Ed.), Chatbot Research and Design: 5th International Workshop, CONVERSATIONS 2021, Virtual Event, November 23–24, 2021, Revised Selected Papers. Paper presented at 5th International Workshop, CONVERSATIONS 2021, Virtual Event, November 23–24, 2021. (pp. 108-123). Springer
Open this publication in new window or tab >>Incorporating Social Practices in Dialogue Systems
2022 (English)In: Chatbot Research and Design: 5th International Workshop, CONVERSATIONS 2021, Virtual Event, November 23–24, 2021, Revised Selected Papers / [ed] Asbjørn Følstad; Theo Araujo; Symeon Papadopoulos; Effie L.-C. Law Ewa Luger Morten Goodwin Petter Bae Brandtzaeg, Springer, 2022, p. 108-123Conference paper, Published paper (Refereed)
Abstract [en]

Current dialogue management systems do not take social concepts such as norms, conventions, roles etc. into account when managing dialogues. Neither do they keep track of the personal (mental) state such as goals, needs, etc. While the data-driven approaches work quite well in some cases, they are usually domain/user dependent and not transparent. On the other hand, the rule-based methods can only work on the predefined scenarios and are not flexible in that sense. In addition, these approaches are limited to modeling only the dialogue system and do not include the human participant as part of the overall dialogue. This makes the current dialogue systems not well suited for complex and natural dialogues. In this paper, we present a dialogue management system framework that incorporates the notion of social practices as a first step to extend the type of dialogues that can be supported. The use of social practices is meant to give structure to the dialogue without restricting it to a fixed protocol. We demonstrate the use of the proposed system on a scenario between the doctor and patient roles where the doctor is a medical student and the patient is simulated by the dialogue management system.

Place, publisher, year, edition, pages
Springer, 2022
Series
Lecture Notes in Computer Science (LNCS), ISSN 0302-9743, E-ISSN 1611-3349 ; 13171
Keywords
Dialogue systems, Social AI, Conversational AI, Social Practices, Chatbots
National Category
Computer Sciences
Identifiers
urn:nbn:se:umu:diva-192485 (URN)10.1007/978-3-030-94890-0_7 (DOI)000763738300007 ()2-s2.0-85124658722 (Scopus ID)978-3-030-94889-4 (ISBN)978-3-030-94890-0 (ISBN)
Conference
5th International Workshop, CONVERSATIONS 2021, Virtual Event, November 23–24, 2021.
Available from: 2022-02-21 Created: 2022-02-21 Last updated: 2023-09-05Bibliographically approved
Bensch, S., Dignum, F. & Hellström, T. (2022). Increasing robot understandability through social practices. In: Proceedings of Cultu-Ro 2022, Workshop on Cultural Influences in Human-Robot Interaction: Today and Tomorrow: 31st IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 22). Paper presented at Ro-Man 2022, 31st IEEE International Conference on Robot and Human Interactive Communication, Naples, Italy, Aug 29 - September 2, 2022.
Open this publication in new window or tab >>Increasing robot understandability through social practices
2022 (English)In: Proceedings of Cultu-Ro 2022, Workshop on Cultural Influences in Human-Robot Interaction: Today and Tomorrow: 31st IEEE International Conference on Robot and Human Interactive Communication (Ro-Man 22), 2022Conference paper, Published paper (Refereed)
Abstract [en]

In this short paper we discuss how incorporatingsocial practices in robotics may contribute to how well humansunderstand robots’ actions and intentions. Since social practicestypically are applied by all interacting parties, also the robots’understanding of the humans may improve.We further discuss how the involved mechanisms have to beadjusted to fit the cultural context in which the interaction takesplace, and how social practices may have to be transformed tofit a robot’s capabilities and limitations.

National Category
Engineering and Technology Computer and Information Sciences
Identifiers
urn:nbn:se:umu:diva-199557 (URN)
Conference
Ro-Man 2022, 31st IEEE International Conference on Robot and Human Interactive Communication, Naples, Italy, Aug 29 - September 2, 2022
Available from: 2022-09-20 Created: 2022-09-20 Last updated: 2022-09-21Bibliographically approved
Ostovar, A., Bensch, S. & Hellström, T. (2021). Natural Language Guided Object Retrieval in Images. Acta Informatica, 58, 243-261
Open this publication in new window or tab >>Natural Language Guided Object Retrieval in Images
2021 (English)In: Acta Informatica, ISSN 0001-5903, E-ISSN 1432-0525, Vol. 58, p. 243-261Article in journal (Refereed) Published
Abstract [en]

The ability to understand the surrounding environment and being able to communicate with interacting humans are important functionalities for many automated systems where visual input (e.g., images, video) and natural language input (speech or text) have to be related to each other. Possible applications are automatic image caption generation, interactive surveillance systems, or human robot interaction. In this paper, we propose algorithms for automatic responses to natural language queries about an image. Our approach uses a predefined neural net for detection of bounding boxes and objects in images, spatial relations between bounding boxes are modeled with a neural net, the queries are analyzed with a syntactic parser, and algorithms to map natural language to properties in the images are introduced. The algorithms make use of semantic similarity and antonyms. We evaluate the performance of our approach with test users assessing the quality of our system’s generated answers.

Place, publisher, year, edition, pages
Springer, 2021
Keywords
convolutional neural network, natural language grounding, object retrieval, spatial relations, semantic similarity
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:umu:diva-165065 (URN)10.1007/s00236-021-00400-2 (DOI)000674657100002 ()2-s2.0-85110811104 (Scopus ID)
Note

Previously included in thesis in manuscript form.

Available from: 2019-11-08 Created: 2019-11-08 Last updated: 2023-09-05Bibliographically approved
Singh, A., Baranwal, N., Richter, K.-F., Hellström, T. & Bensch, S. (2021). Verbal explanations by collaborating robot teams. Paladyn - Journal of Behavioral Robotics, 12(1), 47-57
Open this publication in new window or tab >>Verbal explanations by collaborating robot teams
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2021 (English)In: Paladyn - Journal of Behavioral Robotics, ISSN 2080-9778, E-ISSN 2081-4836, Vol. 12, no 1, p. 47-57Article in journal (Refereed) Published
Abstract [en]

In this article, we present work on collaborating robot teams that use verbal explanations of their actions and intentions in order to be more understandable to the human. For this, we introduce a mechanism that determines what information the robots should verbalize in accordance with Grice’s maxim of quantity, i.e., convey as much information as is required and no more or less. Our setup is a robot team collaborating to achieve a common goal while explaining in natural language what they are currently doing and what they intend to do. The proposed approach is implemented on three Pepper robots moving objects on a table. It is evaluated by human subjects answering a range of questions about the robots’ explanations, which are generated using either our proposed approach or two further approaches implemented for evaluation purposes. Overall, we find that our proposed approach leads to the most understanding of what the robots are doing. In addition, we further propose a method for incorporating policies driving the distribution of tasks among the robots, which may further support understandability.

Place, publisher, year, edition, pages
De Gruyter Open, 2021
Keywords
understandable robots, robot teams, explainable AI, human-robot interaction, natural language generation, Grice’s maxim of quantity, informativeness
National Category
Computer Sciences Computer Vision and Robotics (Autonomous Systems) Human Computer Interaction Language Technology (Computational Linguistics)
Research subject
Computer Science
Identifiers
urn:nbn:se:umu:diva-177332 (URN)10.1515/pjbr-2021-0001 (DOI)2-s2.0-85097144352 (Scopus ID)
Funder
The Kempe Foundations
Available from: 2020-12-06 Created: 2020-12-06 Last updated: 2023-03-24Bibliographically approved
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