Small Talk Conversations and the Long-Term Use of Chatbots in Educational Settings – Experiences from a Field Study

Hobert, Sebastian; Berens, Florian

doi:10.1007/978-3-030-39540-7_18

Cited by 25 publications

(19 citation statements)

References 8 publications

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“…Especially with the social nature of a social engineering attack, a chatbot needs to be able to handle chit chat or banter that attackers use to attempt to build rapport with their target. Hobert and Berens [19] showed that small talk is important, especially in the early stages of a human-chatbot dialog, as users probe the capabilities of the chatbot. Here we saw similar probing behavior, and have enhanced the chatbot with an ability to respond to or deflect small talk.…”

Section: Testing Evaluation and Iterationmentioning

confidence: 99%

Design of a Chatbot Social Engineering Victim

Schuetzler¹,

Giboney²,

Grimes³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Social engineering is an ever-growing problem in online and offline communication. Companies invest time and resources to train employees not to fall victim to attacks. The concept of adversarial thinking encourages people to learn the ways of the attacker to better defend themselves. This research introduces the design features of a chatbot that plays the role of a social engineering victim to allow people to perform the role of an attacker in a training exercise. By attacking this chatbot, people can learn better how to defend themselves.

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Section: Testing Evaluation and Iterationmentioning

confidence: 99%

Design of a Chatbot Social Engineering Victim

Schuetzler¹,

Giboney²,

Grimes³

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…Types of collaboration with chatbots may include (a) one human collaborating with one chatbot as an extension of human abilities, for example for analysis, gaming, as part of a service-related inquiry, or as learning partner (e.g. [53]), (b) chatbots supporting human collaboration, for example by taking notes, documenting, or task management (e.g. [104]), and (c) chatbots collaborating with other services for example in multiagent models, networks of chatbots, or external web services (e.g.…”

Section: State Of the Artmentioning

confidence: 99%

“…[105]) and support health-promoting behavior change (e.g. [85]), and supplement educational programs [53]. Also relevant for the democratization of chatbots is also the relative lowering of thresholds that chatbots may introduce to interactive systems development and design.…”

Section: State Of the Artmentioning

confidence: 99%

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Future directions for chatbot research: an interdisciplinary research agenda

et al. 2021

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Chatbots are increasingly becoming important gateways to digital services and information—taken up within domains such as customer service, health, education, and work support. However, there is only limited knowledge concerning the impact of chatbots at the individual, group, and societal level. Furthermore, a number of challenges remain to be resolved before the potential of chatbots can be fully realized. In response, chatbots have emerged as a substantial research area in recent years. To help advance knowledge in this emerging research area, we propose a research agenda in the form of future directions and challenges to be addressed by chatbot research. This proposal consolidates years of discussions at the CONVERSATIONS workshop series on chatbot research. Following a deliberative research analysis process among the workshop participants, we explore future directions within six topics of interest: (a) users and implications, (b) user experience and design, (c) frameworks and platforms, (d) chatbots for collaboration, (e) democratizing chatbots, and (f) ethics and privacy. For each of these topics, we provide a brief overview of the state of the art, discuss key research challenges, and suggest promising directions for future research. The six topics are detailed with a 5-year perspective in mind and are to be considered items of an interdisciplinary research agenda produced collaboratively by avid researchers in the field.

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“…If a sufficient knowledge base cannot be provided, this might lead to students rejecting chatbot-based support. Also, consideration should be given to including support for small talk, since this can further enhance the adoption of chatbots in educational settings, or further in the support department (Hobert/Berens 2020). This was also already found by LIEBRECHT/VAN HOOIJDONK (2020), who try to enhance the natural and personal feeling of a chatbot.…”

Section: Discussionmentioning

confidence: 80%

The Application of Chatbots at the Digital Workplace in Businesses - Empirical Insights and Design Recommendations for Business Chatbots

Wolff¹

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This doctoral thesis addresses the adoption of chatbots at the digital workplace in businesses by examining the topic with a strong practice-oriented focus. Application scenarios and use cases as well as corresponding objectives, influencing factors and challenges are surveyed. From the design-oriented perspective, it is shown how chatbots should be designed and which impacts can be expected. The thesis is finished with the suggestion of a procedure model for chatbot projects in businesses. The idea for this doctoral thesis originated during my employment as a research assistant at the Chair of Application Systems and E-Business at the Georg-August-Universität Göttingen. I would like to take this opportunity to thank all those who have supported me during this time, both professionally and privately. First, I like to thank my doctoral supervisor, Prof. Dr. Matthias Schumann, for offering the Ph.D. opportunity and the trust granted. The numerous discussions during my time at the chair have contributed significantly to the positive result of the work. I would also like to emphasize the continuous challenge and support, which have contributed in particular to my self-development. I would like to thank

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Small Talk Conversations and the Long-Term Use of Chatbots in Educational Settings – Experiences from a Field Study

Cited by 25 publications

References 8 publications

Design of a Chatbot Social Engineering Victim

Design of a Chatbot Social Engineering Victim

Future directions for chatbot research: an interdisciplinary research agenda

The Application of Chatbots at the Digital Workplace in Businesses - Empirical Insights and Design Recommendations for Business Chatbots

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