Modeling a collaborative task with social commitments

Louvet, Jean-Baptiste; Duplessis, Guillaume Dubuisson; Chaignaud, Nathalie; Vercouter, Laurent; Kotowicz, Jean-Philippe

doi:10.1016/j.procs.2017.08.218

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…While the first three phases of the DT process -such as delivering information and suggestions [3], as well as analyzing data [25] can be implemented well through AI, applications that address ideation and other creative processes are lacking [28]. A large number of research articles already address the collaboration between humans and technologies such as AI, showing a great potential of AI for the future of work [29][30][31][32]. Specific factors such as trust and skepticism towards AI [33][34] are already being explored.…”

Section: Artificial Intelligence and Conversational Agentsmentioning

confidence: 99%

Prototyping a Conversational Agent for AI-Supported Ideation in Organizational Creativity Processes

Debowski¹,

Tavanapour²,

Bittner³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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In this study, we present design guidelines (DGs) for the development and improvement of a virtual collaborator (VC) for Design Thinking (DT). Based on interviews in an ex-ante study, we designed a first prototype of a VC. From an ex-post evaluation using focus group discussions, we derive strengths, weaknesses, opportunities and threats of the VC. Strengths of the VC are good structure, giving inspiration as well as pace and accuracy. Opportunities are to set level of detail, give a more humane representation, and linking search with other DT phases. Weaknesses are not always suitable content and the VC being rather suitable for research phases as well as one-sided communication and no empathy. Threats are questionable search filters and too narrow focus of search. We then derived DGs for further improvement of the VC, addressing the weaknesses, threats and ideas from participants.

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Section: Artificial Intelligence and Conversational Agentsmentioning

confidence: 99%

Prototyping a Conversational Agent for AI-Supported Ideation in Organizational Creativity Processes

Debowski¹,

Tavanapour²,

Bittner³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…The third category covers CA experts (ROE) that have certain skills or fields of expertise that differ from those of their human teammates, but mostly act rather reactively upon request, e.g. [14,22,44]. As this constellation provides less interruption of the natural human conversation, the possibilities CA influence are limited.…”

Section: Role Of Ca (Ro)mentioning

confidence: 99%

Where is the Bot in our Team? Toward a Taxonomy of Design Option Combinations for Conversational Agents in Collaborative Work

Bittner¹,

Oeste-Reiß²,

Leimeister³

2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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With rapid progress in machine learning, language technologies and artificial intelligence, conversational agents (CAs) gain rising attention in research and practice as potential non-human teammates, facilitators or experts in collaborative work. However, designers of CAs in collaboration still struggle with a lack of comprehensive understanding of the vast variety of design options in the dynamic field. We address this gap with a taxonomy to help researchers and designers understand the design space and the interrelations of different design options and recognize useful design option combinations for their CAs. We present the iterative development of a taxonomy for the design of CAs grounded in state of the art literature and validated with domain experts. We identify recurring design option combinations and white spots from the classified objects that will inform further research and development efforts.

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“…Eine große Anzahl von Forschungsartikeln befasst sich bereits mit der Zusammenarbeit zwischen Mensch und Technologien wie künstlicher Intelligenz (KI), und zeigt ein großes Potenzial der KI für die Zukunft der Arbeit auf [8][9][10][11][12]. Spezifische Faktoren wie Vertrauen und Skepsis gegenüber der KI [13,14] werden bereits erforscht.…”

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Einsatz eines virtuellen Kollaborators in analogen & digitalen Workshops im organisationalen Kontext

Debowski

Tavanapour

Bittner

2021

Informatik Spektrum

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ZusammenfassungIn dieser Studie stellen wir Unterschiede und Gemeinsamkeiten in der analogen sowie digitalen Zusammenarbeit hinsichtlich eines virtuellen Kollaborators (VK) dar. Konkret beobachten wir eine Kreativeinheit in einem Industrieunternehmen sowohl in der analogen als auch in der digitalen Durchführung kollaborativer Workshops. Aus den daraus resultierenden Herausforderungen und Anforderungen, die wir anhand von Interviews erheben, leiten wir Designprinzipien an einen VK ab und ziehen einen Vergleich. Gemeinsamkeiten bestehen darin, den Teilnehmenden zusätzliche Informationen und kreativen Input aus internetbasierten Quellen zu liefern. Unterschiede bestehen in der administrativen Vor- und Nachbereitung der jeweiligen Workshops sowie in der Art der Beeinflussung kollaborativer Arbeit. Während bei der digitalen Durchführung eher die Perspektiverweiterung im Vordergrund steht, ist es bei der analogen Durchführung die Ausbalancierung der Redebeiträge. Spezifika stellen sich darüber hinaus für die digitale Durchführung bei der Vernetzung der Teilnehmenden sowie beim Umgang mit digitalen Werkzeugen.

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Modeling a collaborative task with social commitments

Cited by 6 publications

References 11 publications

Prototyping a Conversational Agent for AI-Supported Ideation in Organizational Creativity Processes

Prototyping a Conversational Agent for AI-Supported Ideation in Organizational Creativity Processes

Where is the Bot in our Team? Toward a Taxonomy of Design Option Combinations for Conversational Agents in Collaborative Work

Einsatz eines virtuellen Kollaborators in analogen & digitalen Workshops im organisationalen Kontext

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