IMPROVING USER'S CONFIDENCE TO ACT WHEN USING ADVICE ALGORITHMS THROUGH INTERACTIVE USE OF COUNTERFACTUALS

Harald Pol, Jeroen van Grondelle, Marlies van Steenbergen, Aletta Smits, Marcel Stalenhoef, Koen van Turnhout, Tijs Timmerman

Research output: Contribution to conferencePaperAcademic

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Abstract

In this paper, we explore the design of web-based advice robots to enhance users' confidence in acting upon the provided advice. Drawing from research on algorithm acceptance and explainable AI, we hypothesise four design principles that may encourage interactivity and exploration, thus fostering users' confidence to act. Through a value-oriented prototype experiment and valueoriented semi-structured interviews, we tested these principles, confirming three of them and identifying an additional principle. The four resulting principles: (1) put context questions and resulting advice on one page and allow live, iterative exploration,
(2) use action or change oriented questions to adjust the input parameters, (3) actively offer alternative scenarios based on counterfactuals, and (4) show all options instead of only the recommended one(s), appear to contribute to the values of agency and trust. Our study integrates the Design Science Research approach with a Value Sensitive Design approach.
Original languageEnglish
Pages227-242
Number of pages15
DOIs
Publication statusPublished - 9 Jun 2024
Event37th Bled Conference: Resilience Through Digital Innovation Enabling the Twin Transition - Slovenia, Bled
Duration: 9 Jun 202412 Jun 2024
Conference number: 37

Conference

Conference37th Bled Conference
CityBled
Period9/06/2412/06/24

Keywords

  • advice algorithms
  • interactive use
  • counterfactuals

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