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International Conference on Design Science Research in Information Systems and Technology

DESRIST 2018: Designing for a Digital and Globalized World pp 18–33Cite as

Designing Conversational Agents for Energy Feedback

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10844))

Abstract

Reducing and shifting energy consumption could contribute significantly to a more sustainable use of energy in households. Studies have shown that the provision of feedback can encourage consumers to use energy more sustainably. While there is wide variety of energy feedback solutions ranging from in-home displays to mobile applications, there is a lack of research on whether and how conversational agents can provide energy feedback to promote sustainable energy use. As conversational agents, such as chatbots, promise a natural and intuitive user interface, they may have great potential for energy feedback. This paper explores how to design conversational agents for energy feedback and proposes design principles based on existing literature. The design principles are instantiated in a text-based conversational agent and evaluated in a focus group session with industry experts. We contribute with valuable design knowledge that extends previous research on the design of energy feedback solutions.

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References

  1. International Energy Agency: World Energy Investment (2017). https://www.iea.org/publications/wei2017/. Accessed 28 Jan 2018

  2. European Commission: 2050 Low-Carbon Economy Roadmap (2017). https://ec.europa.eu/clima/policies/strategies/2050_en. Accessed 15 Jan 2018

  3. Kobus, C.B.A., Mugge, R., Schoormans, J.P.L.: Washing when the sun is shining! How users interact with a household energy management system. Ergonomics 56, 451–462 (2013)

    Article  Google Scholar 

  4. Karlin, B., Zinger, J.F., Ford, R.: The effects of feedback on energy conservation: a meta-analysis. Psychol. Bull. 141, 1205–1227 (2015)

    Article  Google Scholar 

  5. Karlin, B., Ford, R., Squiers, C.: Energy feedback technology: a review and taxonomy of products and platforms. Energy Effi. 7, 377–399 (2014)

    Article  Google Scholar 

  6. Weiss, M., Helfenstein, A., Mattern, F., Staake, T.: Leveraging smart meter data to recognize home appliances. In: 2012 IEEE International Conference on Pervasive Computing and Communications, pp. 190–197. IEEE (2012)

    Google Scholar 

  7. Pullinger, M., Lovell, H., Webb, J.: Influencing household energy practices: a critical review of UK smart metering standards and commercial feedback devices. Technol. Anal. Strateg. Manag. 26, 1144–1162 (2014)

    Article  Google Scholar 

  8. McTear, M., Callejas, Z., Griol, D.: The Conversational Interface: Talking to Smart Devices. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-319-32967-3

    Book  Google Scholar 

  9. Dale, R.: The return of the chatbots. Nat. Lang. Eng. 22, 811–817 (2016)

    Article  Google Scholar 

  10. Gartner: Top Trends in the Gartner Hype Cycle for Emerging Technologies (2017). https://www.gartner.com/smarterwithgartner/top-trends-in-the-gartner-hype-cycle-for-emerging-technologies-2017/. Accessed 20 Dec 2017

  11. Bourgeois, J., Van Der Linden, J., Kortuem, G., Price, B.A., Rimmer, C.: Conversations with my washing machine: an in-the-wild study of demand-shifting with self-generated energy. In: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 459–470 (2014)

    Google Scholar 

  12. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information systems research. MIS Q. 28, 75–105 (2004)

    Article  Google Scholar 

  13. Tremblay, M.C., Hevner, A.R., Berndt, D.J.: Focus groups for artifact refinement and evaluation in design research. Commun. Assoc. Inf. Syst. 26, 599–618 (2010)

    Google Scholar 

  14. Kluger, A.N., DeNisi, A.: The effects of feedback interventions on performance: a historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychol. Bull. 119, 254–284 (1996)

    Article  Google Scholar 

  15. Sanguinetti, A., Dombrovski, K., Sikand, S.: Information, timing, and display: a design-behavior framework for improving the effectiveness of eco-feedback. Energy Res. Soc. Sci. 39, 55–68 (2018)

    Article  Google Scholar 

  16. Dalén, A., Krämer, J.: Towards a user-centered feedback design for smart meter interfaces to support efficient energy-use choices. Bus. Inf. Syst. Eng. 59, 361–373 (2017)

    Article  Google Scholar 

  17. Froehlich, J.: Promoting energy efficient behaviors in the home through feedback: the role of human-computer interaction. In: Proceedings of the HCIC Workshop (2009)

    Google Scholar 

  18. Weiss, M., Staake, T., Mattern, F., Fleisch, E.: Powerpedia - changing energy usage with the help of a smartphone application. Pers. Ubiquit. Comput. 16, 655–664 (2012)

    Article  Google Scholar 

  19. Gnewuch, U., Morana, S., Maedche, A.: Towards designing cooperative and social conversational agents for customer service. In: Proceedings of the 38th International Conference on Information Systems (ICIS), Seoul, South Korea (2017)

    Google Scholar 

  20. Weizenbaum, J.: ELIZA - a computer program for the study of natural language communication between man and machine. Commun. ACM 9, 36–45 (1966)

    Article  Google Scholar 

  21. Maedche, A., Morana, S., Schacht, S., Werth, D., Krumeich, J.: Advanced user assistance systems. Bus. Inf. Syst. Eng. 58, 367–370 (2016)

    Article  Google Scholar 

  22. Beale, R., Creed, C.: Affective interaction: how emotional agents affect users. Int. J. Hum. Comput. Stud. 67, 755–776 (2009)

    Article  Google Scholar 

  23. Bickmore, T., Cassell, J.: Relational agents: a model and implementation of building user trust. In: Proceedings of the 2001 SIGCHI Conference on Human Factors in Computing Systems (2001)

    Google Scholar 

  24. Kuechler, B., Vaishnavi, V.: Theory development in design science research: anatomy of a research project. Eur. J. Inf. Syst. 17, 489–504 (2008)

    Article  Google Scholar 

  25. Gall, M.: BotPreview.com (2018). https://botpreview.com/. Accessed 28 Jan 2018

  26. Venable, J., Pries-Heje, J., Baskerville, R.: FEDS: a framework for evaluation in design science research. Eur. J. Inf. Syst. 25, 77–89 (2016)

    Article  Google Scholar 

  27. Miller, W., Senadeera, M.: Social transition from energy consumers to prosumers: rethinking the purpose and functionality of eco-feedback technologies. Sustain. Cities Soc. 35, 615–625 (2017)

    Article  Google Scholar 

  28. Watson, A., Viney, H., Schomaker, P.: Consumer attitudes to utility products: a consumer behaviour perspective. Mark. Intell. Plan. 20, 394–404 (2002)

    Article  Google Scholar 

  29. Morana, S., Schacht, S., Scherp, A., Maedche, A.: A review of the nature and effects of guidance design features. Decis. Support Syst. 97, 31–42 (2017)

    Article  Google Scholar 

  30. Sarikaya, R.: The technology behind personal digital assistants: an overview of the system architecture and key components. IEEE Sig. Process. Mag. 34, 67–81 (2017)

    Article  Google Scholar 

  31. Tiefenbeck, V., Goette, L., Degen, K., Tasic, V., Fleisch, E., Lalive, R., Staake, T.: Overcoming salience bias: how real-time feedback fosters resource conservation. Manage. Sci. 64(3), 1458–1476 (2018). https://doi.org/10.1287/mnsc.2016.2646

    Article  Google Scholar 

  32. Fogg, B.J.: Computers as persuasive social actors. In: Persuasive Technology: Using Computers to Change What We Think and Do, pp. 89–120. Morgan Kaufmann Publishers, San Francisco (2002)

    Chapter  Google Scholar 

  33. Nass, C., Steuer, J., Tauber, E.R.: Computers are social actors. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Boston, MA, USA, pp. 72–78 (1994)

    Google Scholar 

  34. Ham, J., Midden, C.J.H.: A persuasive robot to stimulate energy conservation: the influence of positive and negative social feedback and task similarity on energy-consumption behavior. Int. J. Soc. Robot. 6, 163–171 (2014)

    Article  Google Scholar 

  35. Statista Number of mobile phone messaging app users worldwide from 2016 to 2021 (2018). https://www.statista.com/statistics/483255/number-of-mobile-messaging-users-worldwide/. Accessed 28 Jan 2018

  36. Easwara Moorthy, A., Vu, K.P.L.: Privacy concerns for use of voice activated personal assistant in the public space. Int. J. Hum. Comput. Interact. 31, 307–335 (2015)

    Article  Google Scholar 

  37. Appel, J., von der Pütten, A., Krämer, N.C., Gratch, J.: Does humanity matter? Analyzing the importance of social cues and perceived agency of a computer system for the emergence of social reactions during human-computer interaction. Adv. Hum.-Comput. Interact. 2012, 1–10 (2012)

    Article  Google Scholar 

  38. Klopfenstein, L.C., Delpriori, S., Malatini, S., Bogliolo, A.: The rise of bots: a survey of conversational interfaces, patterns, and paradigms. In: Proceedings of the 2017 Conference on Designing Interactive Systems, pp. 555–565 (2017)

    Google Scholar 

  39. Tremblay, M.C., Hevner, A.R., Berndt, D.J.: The use of focus groups in design science research. In: Hevner, A., Chatterjee, S. (eds.) Integrated Series in Information Systems. Design Research in Information Systems, pp. 121–143. Springer, Boston (2010). https://doi.org/10.1007/978-1-4419-5653-8_10

    Chapter  Google Scholar 

  40. Morana, S., Schacht, S., Scherp, A., Maedche, A.: Designing a process guidance system to support user’s business process compliance. In: ICIS 2014 Proceedings, pp. 1–19 (2014)

    Google Scholar 

  41. Zheng, G., Vaishnavi, V.K.: A multidimensional perceptual map approach to project prioritization and selection. AIS Trans. Hum.-Comput. Interact. 3, 82–103 (2011)

    Article  Google Scholar 

  42. Snow, S., Buys, L., Roe, P., Brereton, M.: Curiosity to cupboard: self reported disengagement with energy use feedback over time. In: Proceedings of the 25th Australian Computer-Human Interaction Conference, pp. 245–254 (2013)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Information Systems and Marketing (IISM), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany

    Ulrich Gnewuch, Stefan Morana & Alexander Maedche

  2. hsag Heidelberger Service AG, Heidelberg, Germany

    Ulrich Gnewuch & Carl Heckmann

Authors
  1. Ulrich Gnewuch
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  2. Stefan Morana
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  3. Carl Heckmann
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  4. Alexander Maedche
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Corresponding author

Correspondence to Ulrich Gnewuch .

Editor information

Editors and Affiliations

  1. School of Information Systems and Technology, Claremont Graduate University, Claremont, California, USA

    Samir Chatterjee

  2. Muma College of Business, University of South Florida, Tampa, Florida, USA

    Kaushik Dutta

  3. Department of Management Studies, IIT Madras, Chennai, Tamil Nadu, India

    Rangaraja P. Sundarraj

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Gnewuch, U., Morana, S., Heckmann, C., Maedche, A. (2018). Designing Conversational Agents for Energy Feedback. In: Chatterjee, S., Dutta, K., Sundarraj, R. (eds) Designing for a Digital and Globalized World. DESRIST 2018. Lecture Notes in Computer Science(), vol 10844. Springer, Cham. https://doi.org/10.1007/978-3-319-91800-6_2

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  • DOI: https://doi.org/10.1007/978-3-319-91800-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91799-3

  • Online ISBN: 978-3-319-91800-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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